Academic literature on the topic 'Segmented modeling'

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Journal articles on the topic "Segmented modeling":

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Abraham, G. A., and T. R. Cuadrado. "Modeling of Segmented Polyurethane Drying Process." International Polymer Processing 13, no. 4 (December 1998): 369–78. http://dx.doi.org/10.3139/217.980369.

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Marche, D., and Y. Savaria. "Modeling $R{-}2R$ Segmented-Ladder DACs." IEEE Transactions on Circuits and Systems I: Regular Papers 57, no. 1 (January 2010): 31–43. http://dx.doi.org/10.1109/tcsi.2009.2019396.

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Gaur, Sagar, Yingjie Tang, Matthew A. Franchek, Karolos Grigoriadis, and Jay Pickett. "Hybrid Analytical Modeling of Force Dense Segmented Magnetic Linear Actuator with Non-Dimensional Parametric Modeling of the Magnetic Flux Effects." Machines 11, no. 2 (February 13, 2023): 278. http://dx.doi.org/10.3390/machines11020278.

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A new advanced two-dimensional hybrid analytical model of a segmented magnet linear actuator (MLA) comprised of surface permanent magnets (PM) is developed in this paper. This model is used to predict and evaluate the performance of the segmented MLA with proper correction on magnetic Flux Effects, validated by computational modeling. An MLA design with non-uniform PM segmentation was applied in this research to improve its performance compared with conventional radially magnetized MLA and uniform segmented Halbach Array based MLA. For MLA thrust force prediction, the previous published analytical model does not consider losses due to two observed magnetic Flux Effects: (1) the magnetic edge effect—the diminishing nature of the magnetic flux at the edge of the MLA, and (2) the observed magnetic interaction effect—the inconsistent peaks of individual magnetic flux lines, lower than the overall peak flux. In the proposed hybrid model for the segmented MLA, the shaft magnetic field distribution is based on a scalar potential theory subdomain method and the ring magnetic field is based on equivalent surface distributed currents. Collectively, these models are combined with three-dimensional finite element analysis (FEA), to estimate the magnetic thrust force. A data driven pole correction factor is introduced, based on the FEA computational database of three-dimensional MLA, to capture the losses associated with the magnetic flux, which is not considered in the analytical subdomain method. Finally, a normalized pole correction is proposed to generalize the model to different magnetic grades, different dimensional constraints, and varying magnet ratios of the segmented magnets. The developed model provides the design basis for manufacturing optimized force dense segmented MLAs for rotary to linear actuation, based on the force required for the application without the need for running FEA analysis after each design iteration, reducing costs and time required for the optimal design.
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Tian, Yong, Bi Zhong Xia, Yue Sun, Zhi Hui Xu, and Wei Sun. "Modeling for Segmented Tracks Planning of Roadway-Powered Electric Vehicles." Applied Mechanics and Materials 385-386 (August 2013): 1159–63. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1159.

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Electric vehicle has aroused peoples concern with soaring energy crisis and environmental degradation. However, it has not been widely used due to some drawbacks, such as the short driving range, long charging time, frequent charging requirements and high price. In order to solve these problems, the roadway-powered electric vehicles (RPEVs) based on an inductive power transfer (IPT) has been proposed. In the segmented RPEVs system, efficiency and annual cost are affected by the track distance, tracks interval, number of tracks and installed capacity of each track, etc. Aiming to such problem, the nonlinear programming (NLP) model for segmented tracks planning of RPEVs system is studied in this paper. Meanwhile, the relationship between the system efficiency and the number of loads is analyzed as a cogent argument to the application of segmented tracks.
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Ahn, Hyunjin, Byung Chan Son, Hyunsik Ryu, and Ockgoo Lee. "Parallel-Segmented CMOS Step-Up Autotransformer and Modeling." Journal of Korean Institute of Electromagnetic Engineering and Science 31, no. 11 (November 2020): 905–12. http://dx.doi.org/10.5515/kjkiees.2020.31.11.905.

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Wrobel, Rafal, Phil H. Mellor, and Derrick Holliday. "Thermal Modeling of a Segmented Stator Winding Design." IEEE Transactions on Industry Applications 47, no. 5 (September 2011): 2023–30. http://dx.doi.org/10.1109/tia.2011.2161741.

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Sadia, Farhana, Sarah Boyd, and Jonathan M. Keith. "Bayesian change-point modeling with segmented ARMA model." PLOS ONE 13, no. 12 (December 31, 2018): e0208927. http://dx.doi.org/10.1371/journal.pone.0208927.

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Riley, C. P., and J. Simkin. "Effective modeling of eddy currents with segmented components." IEEE Transactions on Magnetics 30, no. 5 (September 1994): 3008–11. http://dx.doi.org/10.1109/20.312570.

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Ampountolas, Apostolos, and Mark P. Legg. "A segmented machine learning modeling approach of social media for predicting occupancy." International Journal of Contemporary Hospitality Management 33, no. 6 (February 17, 2021): 2001–21. http://dx.doi.org/10.1108/ijchm-06-2020-0611.

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Purpose This study aims to predict hotel demand through text analysis by investigating keyword series to increase demand predictions’ precision. To do so, this paper presents a framework for modeling hotel demand that incorporates machine learning techniques. Design/methodology/approach The empirical forecasting is conducted by introducing a segmented machine learning approach of leveraging hierarchical clustering tied to machine learning and deep learning techniques. These features allow the model to yield more precise estimates. This study evaluates an extensive range of social media–derived words with the most significant probability of gradually establishing an understanding of an optimal outcome. Analyzes were performed on a major hotel chain in an urban market setting within the USA. Findings The findings indicate that while traditional methods, being the naïve approach and ARIMA models, struggled with forecasting accuracy, segmented boosting methods (XGBoost) leveraging social media predict hotel occupancy with greater precision for all examined time horizons. Additionally, the segmented learning approach improved the forecasts’ stability and robustness while mitigating common overfitting issues within a highly dimensional data set. Research limitations/implications Incorporating social media into a segmented learning framework can augment the current generation of forecasting methods’ accuracy. Moreover, the segmented learning approach mitigates the negative effects of market shifts (e.g. COVID-19) that can reduce in-production forecasts’ life-cycles. The ability to be more robust to market deviations will allow hospitality firms to minimize development time. Originality/value The results are expected to generate insights by providing revenue managers with an instrument for predicting demand.
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Lee, Jae Min, Jae Hak Cheong, and Jooho Whang. "Methodology for Establishing Segmentation Strategy for Large Metal Components from Nuclear Power Plants with Consideration of Packaging into Containers." Science and Technology of Nuclear Installations 2021 (April 16, 2021): 1–19. http://dx.doi.org/10.1155/2021/8814536.

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A methodology for segmenting large metal components from nuclear power plants has been developed with a view to minimizing the number of containers to emplace segmented pieces. Spherocylinder-type and rectangular prism-type objects are modeled in shapes, and equations to calculate heights, widths, lengths, or angles for segmentation and the number of pieces are derived using geometric theorems, with a hypothetical ‘virtual rectangle’ being introduced for simplification. Applicability of the new methodology is verified through case studies assuming that each segmented piece is packaged into a 200 L container, and a procedure for adjusting potential overestimation of the segmented pieces due to the virtual rectangle is proposed. The new approach results in fewer segmented pieces but more containers than an existing segmentation study using 3D modeling. It is demonstrated that the number of containers can be further reduced, however, if the generalized methodology is followed by 3D modeling. In addition, it is confirmed that the generalized approach is also applicable to a nonstandard shapes such as ellipsoidal shape but only under limited conditions. Sensitivity analyses are conducted by changing dimensions of the objects and container, which brings about an optimal dimension of container as well. The generalized approach would be utilized either alone in decommissioning planning to estimate waste from segmentation of large metal components or combined with 3D modeling to optimize segmentation operation.

Dissertations / Theses on the topic "Segmented modeling":

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Idbenjra, Khaoula. "Essays on Segmented-Modeling Approaches for Business Analytical Applications." Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILA027.

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Les complexités croissantes de la prise de décision financière, intensifiées par les crises financières récentes, requièrent une modélisation prédictive avancée et transparente, notamment dans les domaines du scoring de crédit et de la fidélisation des clients. Cette thèse explore les mérites significatifs des modèles hybrides basés sur la segmentation, en se concentrant de manière cruciale sur le Logit Leaf Model (LLM), à travers différentes applications : la fidélisation des clients Business-to-Business (B2B), le scoring de crédit, et la gestion des Prêts Non Performants (NPL). L'urgence d'outils analytiques robustes, interprétables et flexibles a été amplifiée, surtout sur fond de défis financiers et économiques modernes. Ainsi, cette recherche lie minutieusement les conclusions de trois études clés pour explorer et critiquer la fonctionnalité, l'applicabilité, et le mérite du LLM dans divers contextes.L'étude dans le chapitre 2 met en lumière l'applicabilité du LLM dans les scénarios B2B, où la rétention des clients devient cruciale. L'étude montre comment le LLM peut améliorer les stratégies de rétention des clients B2B en utilisant la modélisation uplift et en fournissant des insights essentiels aux managers à travers des visualisations spécifiques, globales et de niveau segmentaire qui renforcent la prise de décision managériale. La seconde étude, présentée dans le chapitre 3, explore le domaine du scoring de crédit, mettant en lumière les performances prédictives supérieures du LLM et son interprétabilité exceptionnelle, ce qui le fait se démarquer des modèles traditionnels tels que la régression logistique et les arbres de décision, et même par rapport à des modèles avancés tels que les réseaux de neurones.Chapitre 4, introduisant la troisième étude, propose une analyse détaillée en utilisant le LLM pour démontrer sa capacité à prédire et comprendre les complexités des prêts non performants (NPL). Ceci est réalisé grâce à un examen approfondi des caractéristiques du débiteur, du prêt, et des indicateurs macroéconomiques. La capacité du modèle à fournir simultanément des prédictions précises et à produire des insights pratiques, comparée à divers autres modèles alternatifs de risque de crédit, souligne sa praticité dans la gestion du risque financier, en particulier pour les banques.À travers une exploration approfondie et une combinaison des études mentionnées ci-dessus, cette thèse met en lumière les diverses aptitudes du LLM à naviguer à travers différents domaines, tous guidés par les données. Elle soulève une discussion sur l'utilité des modèles hybrides basés sur la segmentation pour prendre des décisions complexes, louant le LLM pour sa capacité à allier puissance prédictive et interprétabilité, et à agir en tant qu'outil puissant à travers diverses applications. La thèse suggère également des domaines pour la recherche future dans le chapitre 5, encourageant une exploration plus poussée de la scalabilité, de l'adaptabilité, et des améliorations potentielles du LLM à travers divers secteurs et défis analytiques
The increasing complexities of financial decision-making, intensified by recent financial crises, necessitate transparent advanced predictive modeling, especially in the realms of credit scoring and customer retention. This dissertation explores the significant merits of hybrid segmentation-based models, with a pivotal focus on the Logit Leaf Model (LLM), across varied applications: Business-to-Business (B2B) customer retention, credit scoring, and Non-Performing Loan (NPL) management. The exigency for robust, interpretable, and flexible analytical tools has been amplified, especially against the backdrop of modern financial and economic challenges. Thus, this research meticulously interweaves findings from three pivotal studies to explore and critique the functionality, applicability, and merit of the LLM in diverse contexts.The study in chapter 2 highlights LLM's applicability in B2B scenarios, where customer retention becomes crucial. The study shows how the LLM can improve strategies for B2B customer retention by using uplift modeling and providing essential insights to managers through specific, overall, and segment-level visualizations that strengthen managerial decision-making. The second study, presented in chapter 3, explores the field of credit scoring, spotlighting LLM's superior predictive performance and exceptional interpretability, which makes it stand out amidst traditional models like logistic regression and decision trees, and even when compared to advanced models such as neural networks.Chapter 4, introducing the third study, offers a detailed analysis using the Logit Leaf Model (LLM) to demonstrate its capability to predict and comprehend the complexities of Non-Performing Loans (NPLs). This is achieved through a thorough examination of debtor, loan, and macroeconomic features. The model's ability to concurrently provide precise predictions and yield practical insights, when compared with various alternate credit risk models, accentuates its practicality in managing financial risk, especially within retail banking scenarios.Through a thorough exploration and combination of the studies mentioned above, this dissertation highlights the LLM's varied abilities in navigating through different but inherently data-driven fields. It raises discussion on the usefulness of hybrid segmentation-based models in making complex decisions, praising the LLM for its ability to combine predictive power with interpretability and act as a powerful tool across various applications. The dissertation also suggests areas for future research in chapter 5, encouraging further exploration into the scalability, adaptability, and potential improvements of the LLM across various sectors and analytical challenges
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Bai, Xiaoyu. "Micromagnetic Modeling of Thin Film Segmented Medium for Microwave-Assisted Magnetic Recording." Research Showcase @ CMU, 2018. http://repository.cmu.edu/dissertations/1131.

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In this dissertation, a systematic modeling study has been conducted to investigate the microwaveassisted magnetic recording (MAMR) and its related physics. Two different modeling approaches including effective field modeling and recording signal-to-noise ratio (SNR) modeling has been conducted to understand the MAMR mechanism on segmented thin film granular medium. First the background information about perpendicular magnetic recording (PMR) and its limitation has been introduced. The motivation of studying MAMR is to further improve the recording area density capacity (ADC) of the hard disk drive (HDD) and to overcome the theoretical limitation of PMR. The development of recording thin film medium has also been discussed especially the evolvement of the multilayer composite medium. Since the spin torque oscillator (STO) is the essential component in MAMR, different STO structures have been discussed. The relation between STO setting (thickness, location and frequency) to the ac field distribution has also been explored. In effective field modeling, both head configuration and medium structure optimization have been investigated. The head configuration study includes the effective field distribution in relation to the fieldgeneration- layer thickness, location, and frequency. Especially an interesting potential erasure is detected due to the imperfect circularity of the ac field. Several approaches have been proposed to prevent the erasure. Meanwhile, notched and graded segmentation structure have been compared through effective field analysis in terms of the field gradient and track width. It has been found that MAMR with notched Hk distribution is able to achieve both high field gradient and narrow track width simultaneously. In recording SNR modeling, first the behavior of MAMR with single layer medium has been studied and three phases have been discovered. As proceed to the multi-layer medium, a practical issue which is MAMR with insufficient ac field power and high medium damping has been introduced. Since the fabrication of STO with high ac power is highly difficult, the issue has been investigated from the medium side which is through an optimized medium structure, the provided ac field can be utilized more efficiently. It has been found that more segmentation on upper part of the grain to fit the ac field yields more efficient ac field power usage. Following this scenario, the graded and notched segmentation structure have been studied in terms of SNR and track width. The traditional dilemma between recording SNR and track width in the conventional PMR is partially solve using MAMR with notched segmentation structure.
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Jesuthasan, Nirmalakanth. "Modeling of thermofluid phenomena in segmented network simulations of loop heat pipes." Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=106276.

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The overarching goal of the work presented in this thesis is to formulate, implement, test, and demonstrate cost-effective mathematical models and numerical solution methods for computer simulations of fluid flow and heat transfer in loop heat pipes (LHPs) operating under steady-state conditions.A segmented network thermofluid model for simulating steady-state operation of conventional LHPs with cylindrical and flat evaporators is proposed. In this model, the vapor-transport line, condenser pipe, and liquid-transport line are divided into longitudinal segments (or control volumes). Quasi-one-dimensional formulations, incorporating semi-empirical correlations for the related single- and two-phase phenomena, are used to iteratively impose balances of mass, momentum, and energy on each of the aforementioned segments, and collectively on the whole LHP. Variations of the thermophysical properties of the working fluid with temperature are taken into account, along with change in quality, pressure drop, and heat transfer in the two-phase regions, giving the proposed model enhanced capabilities compared to those of earlier thermofluid network models of LHPs. The proposed model is used to simulate an LHP for which experimental measurements are available in the literature: The predictions of the proposed model are in very good agreement with the experimental results.In earlier quasi-one-dimensional models of LHPs, the pressure drop for vapor flow through the grooves in the evaporator is computed using a friction-factor correlation that applies strictly only in the fully-developed region of fluid flows in straight ducts with impermeable walls. This approach becomes unacceptable when this pressure drop is a significant contributor to the overall pressure drop in the LHP. A more accurate correlation for predicting this pressure drop is needed. To fulfill this need, first, a co-located equal-order control-volume finite element method (CVFEM) for predicting three-dimensional parabolic fluid flow and heat transfer in straight ducts of uniform regular- and irregular-shaped cross-section is proposed. The methodology of the proposed CVFEM is also adapted to formulate a simpler finite volume method (FVM), and this FVM is used to investigate steady, laminar, Newtonian fluid flow and heat transfer in straight vapor grooves of rectangular cross-section, for parameter ranges representative of typical LHP operating conditions. The results are used to elaborate the features of a special fully-developed flow and heat transfer region (established at a distance located sufficiently downstream from the blocked end of the groove) and to propose novel correlations for calculating the overall pressure drop and also the bulk temperature of the vapor. These correlations are incorporated in the aforementioned quasi-one-dimensional model to obtain an enhanced segmented network thermofluid model of LHPs.Sintered porous metals of relatively low porosity (0.30 – 0.50) and small pore diameter (2.0 – 70 micrometers) are the preferred materials for the wick in LHPs. The required inputs to mathematical models of LHPs include the porosity, maximum effective pore size, effective permeability, and effective thermal conductivity of the liquid-saturated porous material of the wick. The determination of these properties by means of simple and effective experiments, procedures, and correlations is demonstrated using a sample porous sintered-powder-metal plate made of stainless steel 316.Finally, the capabilities of the aforementioned enhanced segmented network thermofluid model are demonstrated by using it to simulate a sample LHP operating under steady-state conditions with four different working fluids: ammonia, distilled water, ethanol, and isopropanol. The results are presented and comparatively discussed.
L'objectif principal de cette thèse consiste à formuler, mettre en œuvre, tester et démontrer des modèles mathématiques et des méthodes numériques pour réaliser la simulation d'écoulements de fluide et de transfert de chaleur dans des boucles fluides diphasiques [Loop Heat Pipes (LHPs) en anglais], opérant en régime permanent. Un modèle de réseau segmenté thermofluide pour simuler le fonctionnement en régime permanent des LHPs conventionnelles avec des évaporateurs cylindriques et plats est proposé. Dans ce modèle, la ligne de transport de la vapeur, le tuyau du condenseur et la ligne de transport du liquide sont divisés en segments longitudinaux (ou volumes de contrôle). Des formulations quasi-unidimensionnelles, intégrant des corrélations semi-empiriques pour les phénomènes multiphasiques sont utilisées pour assurer la conservation de la masse, de la quantité de mouvement et de l'énergie sur chacun des segments individuels, puis sur l'ensemble du LHP. Les variations des propriétés thermophysiques du fluide en fonction de la température sont prises en compte, ainsi que le changement dans le titre en vapeur, la chute de pression, et le transfert de chaleur dans les régions diphasiques, améliorant ainsi les capacités du modèle proposé par rapport aux modèles précédents de réseaux de LHPs. Le modèle proposé est utilisé pour simuler un LHP pour lequel des mesures expérimentales sont disponibles dans la littérature: les prédictions du modèle proposé sont en très bon accord avec les résultats expérimentaux. Dans les modèles quasi-unidimensionnels précédents de LHPs, la chute de pression pour un débit de vapeur à travers les gorges de l'évaporateur est calculée en utilisant une corrélation faisant intervenir un facteur de friction s'appliquant uniquement dans la région pleinement développé de conduits avec des murs imperméables. Cette approche est inacceptable quand cette baisse de pression devient significative devant la chute de pression globale du LHP. Une corrélation plus précise pour prédire cette chute de pression est alors nécessaire. Pour répondre à ce besoin, une méthode de volumes éléments finis (CVFEM) est proposée pour prédire l'écoulement en trois dimensions du fluide et le transfert de chaleur dans différents conduits à section uniforme régulière et irrégulière. La méthodologie du CVFEM est également adaptée pour formuler une méthode plus simple en volumes finis (FVM). Cette approche est utilisée pour étudier l'écoulement laminaire de fluides newtoniens et le transfert de chaleur dans des cannelures de vapeur à section rectangulaire, pour des conditions typiques de fonctionnement d'un LHP. Les résultats sont utilisés pour élaborer les caractéristiques d'une région pleinement développé (particulière aux LHPs) et de proposer de nouvelles corrélations pour le calcul de la chute de pression globale et des températures de vapeur. Ces corrélations sont incorporées dans le modèle quasi-unidimensionnel pour obtenir un modèle amélioré de réseau segmenté thermofluide pour les LHPs. Les métaux poreux, fabriqués à partir de poudre de métaux sintérisées, ayant une faible porosité (0.30 - 0.50) et un diamètre de pores de petite taille (2.0 à 70 micromètres), sont les matériaux idéals pour la mèche des LHPs. Les paramètres d'entrées des modèles mathématiques de LHPs incluent la porosité, la taille effective maximale des pores, la perméabilité effective et la conductivité thermique effective de la mèche saturée d'un liquide. La détermination de ces propriétés par des expériences simples est réalisée en utilisant un échantillon poreux fritté de poudre de métal en acier inoxydable 316. Enfin, les capacités du modèle améliorée du réseau segmenté thermofluide discuté ci-dessus sont démontrées en l'utilisant pour simuler un LHP opérant en régime permanent avec quatre fluides différents: l'ammoniac, l'eau distillée, l'éthanol et l'isopropanol. Les résultats sont présentés et discutés comparativement.
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Ringenberg, Jordan. "Computerized 3D Modeling and Simulations of Patient-Specific Cardiac Anatomy from Segmented MRI." University of Toledo / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1406129522.

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Roslyakova, Irina [Verfasser], Holger [Gutachter] Dette, and Ingo [Gutachter] Steinbach. "Modeling thermodynamical properties by segmented non-linear regression / Irina Roslyakova ; Gutachter: Holger Dette, Ingo Steinbach." Bochum : Ruhr-Universität Bochum, 2017. http://d-nb.info/1140222953/34.

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Zelinski, Michael E. "A segmented aperture space telescope modeling tool and its application to remote sensing as understood through image quality and image utility /." Online version of thesis, 2009. http://hdl.handle.net/1850/11658.

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Steinberg, Andreas [Verfasser], Henriette [Akademischer Betreuer] Sudhaus, and Wolfgang [Gutachter] Rabbel. "Improved modeling of segmented earthquake rupture informed by enhanced signal analysis of seismic and geodetic observations / Andreas Steinberg ; Gutachter: Wolfgang Rabbel ; Betreuer: Henriette Sudhaus." Kiel : Universitätsbibliothek Kiel, 2021. http://d-nb.info/1236572122/34.

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Rocha, Tassiana Duarte da. "Análise numérica do comportamento de juntas entre aduelas de vigas protendidas." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5616.

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Diversos pesquisadores têm estudado o comportamento e o emprego de aduelas de concreto, que constituem as vigas segmentadas em sistemas estruturais, de maneira especial pontes e viadutos. Por esta razão, inúmeros trabalhos têm sido publicados nos últimos anos respaldados por testes experimentais e análises numéricas. O comportamento destas vigas contrasta com as clássicas vigas monolíticas em diversos aspectos, pois, a estrutura é composta de partes de elementos de concreto pré-moldado que, após serem posicionados no local definitivo, são protendidos. A protensão pode ser aderente ou não aderente. A principal vantagem deste sistema de construção é a rapidez e o alto controle de qualidade, por isso é largamente utilizado, havendo uma demanda de estudo de previsão do seu real comportamento No presente trabalho apresenta-se uma modelagem numérica via elementos finitos, para simular o comportamento de vigas compostas por aduelas justapostas sem material ligante entre as juntas. A protensão aplicada é aderente e a análise considera a não linearidade da região da junta. Assim sendo, o objetivo desta investigação é dar uma contribuição ao estudo do comportamento estrutural estático de vigas segmentadas, atentando para o comportamento das juntas, utilizando um programa comercial. Para o modelo são empregadas técnicas usuais de discretização, via método dos elementos finitos (MEF), por meio do programa de elementos finitos SAP2000[93]. O modelo proposto é constituído de elementos de placa próprios para concreto para representar a viga, a protensão é introduzida por meio de barras bidimensionais que transferem as tensões ao longo de seu comprimento e as juntas são implementadas utilizando elementos de contato. A analise é bidimensional e considera os efeitos das perdas de protensão. Este trabalho de pesquisa objetiva também o estudo de elementos de contato especialmente as características de deformação para esta ferramenta computacional. A definição dos parâmetros para o modelo foi feita com base em dados experimentais disponíveis na literatura. O modelo numérico foi calibrado e confrontado com resultados experimentais obtidos em ensaios de laboratório.
Several researchers have studied the behavior and the use of concrete staves, which are segmented beams in structural systems, especially bridges and overpasses, in civil engineering. For this reason, numerous studies have been published in recent years supported by experimental tests and numerical analyzes. The behavior of these beams in contrast to the conventional monolithic beams in different ways because the structure is composed of portions of pre-cast concrete elements which after being placed in situ are prestressed. The prestressing can be adhered or otherwise attached. The main advantage of this system of construction is speed and high quality control, so it is widely used; there is a demand forecast study their actual behavior. In this paper, we present a finite element model to simulate the behavior of composite beams prestressed by adherent with staves. Therefore, the objective of this research is to make a contribution to the study of static structural behavior of beams targeted observing the behavior of joints using a commercial program. For the model are employed standard techniques of discretization via the finite element method (FEM), using the finite element program SAP2000 [90]. The model is made of elements suitable for plaque to represent the actual beam, the prestressing is introduced by means of two-dimensional bar which transfer the stresses along its length and the joints are implemented using contact elements proposed by the program, called Link. The analysis is two dimensional and considers the effects of prestressing losses. This research also aims to study the contact elements especially the characteristics of deformation to this computational tool. The definition of parameters for the model was based on experimental data available in literature. The numerical model was calibrated and compared with experimental results obtained in laboratory trials.
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Hartasánchez, Frenk Diego Andrés 1982. "Modeling and simulation of interlocus gene conversion." Doctoral thesis, Universitat Pompeu Fabra, 2016. http://hdl.handle.net/10803/525842.

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Les regions duplicades del genoma, com ara les duplicacions de segments (SDs), són una característica comuna dels genomes eucariotes i han estat associades a canvis fenotípics. Donada la seva rellevància evolutiva, tenir un model neutre per descriure la seva evolució és essencial. En aquesta tesi, descric el desenvolupament de SeDuS, un simulador computacional endavant en el temps de l'evolució neutra de SDs. Les duplicacions estan sotmeses a un procés de recombinació, anomenat conversió gènica interlocus (IGC), que afecta els patrons de variació i de desequilibri de lligament dins i entre duplicacions. Aquí descric els efectes de sobreposar regions susceptibles de recombinació homòloga amb regions susceptibles d'IGC i d'incorporar dependència d'IGC en la similitud de seqüències. Addicionalment, ja que les SDs són objectius potencial de la selecció natural, informo sobre possibles alteracions a proves estadístiques quan aquestes s'apliquen a regions duplicades sotmeses a IGC. Finalment, exploro la possibilitat de combinar resultats de diferents proves estadístiques aplicades al llarg de tot el genoma per detectar la presència de duplicacions col·lapsades.
Duplicated regions of the genome, such as Segmental Duplications (SDs), are a pervasive feature of eukaryotic genomes and have been linked to phenotypic changes. Given their evolutionary relevance, having a neutral model to describe their evolution is essential. In this thesis, I report the development of SeDuS, a forward-in-time computer simulator of SD neutral evolution. Duplications are known to undergo a recombination process, termed interlocus gene conversion (IGC), which is known to affect the patterns of variation and linkage disequilibrium within and between duplicates. Here I describe the effects of overlapping crossover and IGC susceptible regions and of incorporating sequence similarity dependence of IGC. Furthermore, since SDs are potential targets of natural selection, I report potential confounding effects of IGC on test statistics when these are applied to duplications. Finally, I explore the possibility of combining results of different test statistics applied genome-wide to detect the presence of collapsed duplications.
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Yeung, Anson Chi-Ming Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Polymer segmented cladding fibres: cross fibre modelling, design, fabrication and experiment." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43656.

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This thesis presents the first research on polymer-segmented-cladding-fibre (PSCF), an emerging class of microstructured- optical-fibres (MOFs), which allows single-mode operation with ultra-large-core area. This research covers the modelling, design, fabrication and experiment of the polymer optical cross-fibre (4-period-SCF) whose cross-sectional view resembles a cross. A new wedge waveguide model has been formulated and applied to demonstrate that for any given parameters, the cross fibre gives the same performance for single-mode operation as the N-period-SCFs (for N = 2, 6 and 8). These fibres behave identically if the high-index segment angle, θ1, is the same and the low-index segment angular width, θ2, is sufficiently large for negligible adjacent mode coupling effects. This remarkable finding has significant ramifications for SCF fabrication, design and performance. Theoretical predictions confirmed by experiments demonstrated that a cross-fibre is all that needed to fabricate a large-core single-mode-fibre with no geometry-induced birefringence. The high-index outer ring effects on the cross fibre single-mode performance have been systematically investigated for the first time. The study reveals that the ring index value higher than its core index has very strong effects on single-mode performance. Within a narrow range of θ1, the minimum fibre length required for single-mode operation is reduced but outside this angle range, longer single-mode length is required. Furthermore, the fibre can be anti-guiding if θ1 exceeds the cutoff angle. Incorporating the fabrication constraints, the optimal cross-fibre design with high-index ring is achieved by optimising the relative index difference, high-index segment angle and core-cladding diameter ratio. Two preform-making techniques developed for the cross-fibres fabrication include the cladding-segment-in-tube method and the core-cladding-segment-in-tube method. The innovative approach in these methods overcomes the problems of bubble formation and fractures, which are related to the fibre structure complexity and the polymer intrinsic properties and their processing. It enables the successful drawing of single-mode fibres. This thesis reports the first experimental demonstration of single-mode operation of large-core cross-fibre. Three experimental studies with different cross-fibre designs have demonstrated (i) large-core single-mode operation, (ii) high-index ring effects on fibre performance and (iii) cross-fibre optimal design trial. Apart from this, the 8-period-SCF fibre performance has been demonstrated experimentally.

Books on the topic "Segmented modeling":

1

Aidid, Sharifah Sakinah. Modelling market shares by segments using volatility. Cardiff: Cardiff Business School, 1997.

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Mills, T. C. Modelling changing trend rates of output growth: Unit roots, segmented trends and common features. Hull: University of Hull. Department of Economics, 1994.

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Andersson, Per-Åke. Multi-year maintenance optimisation for paved public roads: Segment based modelling and price-directive decomposition. Linköping: Department of Mathematics, Linköping University, 2007.

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Hylland, Michael D. Surficial-geologic reconnaissance and scarp profiling on the Collinston and Clarkston mountain segments of the Wasatch Fault Zone, Box Elder County, Utah: Paleoseismic inferences, implications for adjacent segments, and issues for diffusion-equation scarp-age modeling. Salt Lake City, UT: Utah Geological Survey, 2007.

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Ghebremichael, Asghedom. Exploring Potential Synergy Between Sustainable Forest Ecosystem Management and Technological Progress in Regionally Segmented Canadian Logging Industries: Bioeconomic Perspectives and Nonparametric Modeling. Nova Science Publishers, Incorporated, 2017.

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Anderson, Raymond A. Credit Intelligence & Modelling. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192844194.001.0001.

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This book, “Forest Paths” for short, started as a detailed guide for the construction of predictive models for credit and other risk assessment, for use in big-bank retail lending. It became a textbook covering credit processes (from marketing through to fraud), bureau and rating agencies, and various tools. Included are detailed histories (economics, statistics, social science}, which much referencing. It is unique in the field, with chatpers’-end questions. The primary target market is corporate and academic, but much would be of interest to a broader audience. There are eight modules: 1) an introduction to credit risk assessment and predictive modelling; 2) micro-histories of credit, credit intelligence, credit scoring, plus industrial revolutions, economic ups and downs, and both personal registration and identification; 4) mathematical and statistical tools used to develop and assess predictive models; 5) project management and data assembly; 6) data preparation from sampling to reject inference; 7) model training through to implementation; and 8) appendices, including an extensive glossary, bibliography, and index. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines as diverse as psychology, biology, engineering, and computer science, whether academic research or practical use. It also covers issues relating to the use of machine learning for credit risk assessment. Most of the focus is on traditional modelling techniques, but the increasing use of machine learning is recognised, as are its limitations. It is hoped that the contents will inform both camps.
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Surficial-geologic reconnaissance and scarp profiling on the Collinston and Clarkston Mountain segments of the Wasatch fault zone, Box Elder County, Utah-Paleoseismic inferences, implications for adjacent segments, and issues for diffusion-equation scarp-age modeling. Utah Geological Survey, 2007. http://dx.doi.org/10.34191/ss-121.

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Rajakumar, P. S., S. Geetha, and T. V. Ananthan. Fundamentals of Image Processing. Jupiter Publications Consortium, 2023. http://dx.doi.org/10.47715/jpc.b.978-93-91303-80-8.

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"Fundamentals of Image Processing" offers a comprehensive exploration of image processing's pivotal techniques, tools, and applications. Beginning with an overview, the book systematically categorizes and explains the multifaceted steps and methodologies inherent to the digital processing of images. The text progresses from basic concepts like sampling and quantization to advanced techniques such as image restoration and feature extraction. Special emphasis is given to algorithms and models crucial to image enhancement, restoration, segmentation, and application. In the initial segments, the intricacies of digital imaging systems, pixel connectivity, color models, and file formats are dissected. Following this, image enhancement techniques, including spatial and frequency domain methods and histogram processing, are elaborated upon. The book then addresses image restoration, discussing degradation models, noise modeling, and blur, and offers insights into the compelling world of multi-resolution analysis with in-depth discussions on wavelets and image pyramids. Segmentation processes, especially edge operators, boundary detections, and thresholding techniques, are detailed in subsequent chapters. The text culminates by diving deep into the applications of image processing, exploring supervised and unsupervised learning, clustering algorithms, and various classifiers. Throughout the discourse, practical examples, real-world applications, and intuitive diagrams are integrated to facilitate an enriched learning experience. This book stands as an essential guide for both novices aiming to grasp the basics and experts looking to hone their knowledge in image processing. Keywords: Digital Imaging Systems, Image Enhancement, Image Restoration, Multi-resolution Analysis, Wavelets, Image Segmentation, Feature Extraction, SIFT, SURF, Image Classifiers, Supervised Learning, Clustering Algorithms.

Book chapters on the topic "Segmented modeling":

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Jha, Debesh, Pia H. Smedsrud, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Dag Johansen, and Håvard D. Johansen. "Kvasir-SEG: A Segmented Polyp Dataset." In MultiMedia Modeling, 451–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-37734-2_37.

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Ginzburg, V. V., J. Bicerano, C. P. Christenson, A. K. Schrock, and A. Z. Patashinski. "Modeling Mechanical Properties of Segmented Polyurethanes." In Nano- and Micromechanics of Polymer Blends and Composites, 59–89. München: Carl Hanser Verlag GmbH & Co. KG, 2009. http://dx.doi.org/10.3139/9783446430129.002.

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Ginzburg, V. V., J. Bicerano, C. P. Christenson, A. K. Schrock, and A. Z. Patashinski. "Modeling Mechanical Properties of Segmented Polyurethanes." In Nano- and Micromechanics of Polymer Blends and Composites, 59–89. München, Germany: Carl Hanser Verlag GmbH & Co. KG, 2009. http://dx.doi.org/10.1007/978-3-446-43012-9_2.

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Romeo, Salvatore, Andrea Tagarelli, and Dino Ienco. "Clustering View-Segmented Documents via Tensor Modeling." In Lecture Notes in Computer Science, 385–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08326-1_39.

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Xie, Y. Q., W. Liu, M. Chao, S. L. Bao, and L. Xing. "Segmented Deformable Registration for Improved Modeling of the Lungs." In IFMBE Proceedings, 635–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03474-9_178.

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Jones, Arthur C. "A Segmented Abstraction Hierarchy Model for Business Process Modeling." In Advances in Human Factors, Business Management, Training and Education, 127–33. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42070-7_13.

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Ilyas, M. Kashif, Alexandru Calotoiu, and Felix Wolf. "Off-Road Performance Modeling – How to Deal with Segmented Data." In Lecture Notes in Computer Science, 36–48. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64203-1_3.

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Liu, Hao, Lei Dai, Ming You, Sujun Tan, and Kai Liu. "Aerodynamic Modeling Based on Segmented Parameter Estimation in Frequency Domain." In Proceedings of 2021 International Conference on Autonomous Unmanned Systems (ICAUS 2021), 1516–25. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9492-9_150.

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Yangui, Majdi, Slim Bouaziz, Mohamed Taktak, and Mohamed Haddar. "Numerical Analysis of a Segmented Wind Turbine Blade Using the Substructure Method." In Design and Modeling of Mechanical Systems—III, 755–62. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-66697-6_73.

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Fujimoto, Kyoko, Leonardo M. Angelone, Sunder S. Rajan, and Maria Ida Iacono. "Simplifying the Numerical Human Model with k-means Clustering Method." In Brain and Human Body Modeling 2020, 261–70. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_15.

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AbstractCurrently, the safety assessment of radio-frequency (RF) heating using computational modeling is limited by the available numerical models which are not patient specific. However, RF-induced heating depends on the physical characteristics of the patient. The numerical model generation is difficult due to the highly time-consuming segmentation process. Therefore, having fewer types of segmented structures simplifies the generation of numerical models and reduces computational burden as a result. In this study, we used the k-means clustering method to reduce the number of dielectric properties of an existing numerical model and investigated the resulting difference in specific absorption rate (SAR) with respect to the number of clusters.

Conference papers on the topic "Segmented modeling":

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Gonzalez, Cody, Jun Ma, Mary Frecker, and Christopher Rahn. "Analytical Modeling of a Multifunctional Segmented Lithium Ion Battery Unimorph Actuator." In ASME 2018 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/smasis2018-8123.

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Silicon anodes in lithium ion batteries have high theoretical capacity and large volumetric expansion. In this paper, both characteristics are used in a segmented unimorph actuator consisting of several Si composite anodes on a copper current collector. Each unimorph segment is self-actuating during discharge and the discharge power can be provided to external circuits. With no external forces and zero current draw, the unimorph segments will maintain their actuated shape. Stress-potential coupling allows for the unimorph actuator to be self-sensing because bending changes the anodes’ potential. An analytical model is derived from a superposition of pure bending and extensional deformation forces and moments induced by the cycling of a Si anode. An approximately linear relationship between axial strain and state of charge of the anode drives the bending displacement of the unimorph. The segmented device consists of electrically insulated and individually controlled segments of the Si-coated copper foil to allow for variable curvature throughout the length of the beam. The model predicts the free deflection along the length of the beam and the blocked force. Tip deflection and blocked force are shown for a range of parameters including segment thicknesses, beam length, number of segments, and state of charge. The potential applications of this device include soft robots and dexterous 3D grippers.
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Kerley, Daniel, Edward J. Park, and Jennifer Dunn. "Distributed Modeling and Decentralized H∞ Control of a Segmented Telescope Mirror." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-44145.

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In this paper a distributed dynamic model for a segmented primary mirror of an optical telescope is presented, based on the distributed modeling framework for spatially interconnected systems. The next generation of optical telescopes will employ highly segmented primary mirrors, which leads to a large-scale control problem. The distributed modeling technique allows for the design of scalable decentralized controllers that are better suited for such systems. A numerical seven segment mirror surface model is used as the benchmark system for comparing the performance between a scalable decentralized H∞ controller and a global H∞ controller. The closed-loop control simulation results show that both controllers perform comparably for the benchmark case. However when the number of the segments increases significantly (e.g. > 100) the scalable decentralized control will allow for a more tractable solution than the monolithic global control.
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Pan, Tan, Rui Leng, Zoubeida Ounaies, and Mary Frecker. "Analytical Modeling of a Segmented Magneto-Active Elastomer Unimorph Actuator." In ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-67703.

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Abstract Magneto-active elastomers (MAE) are capable of achieving large deflections when actuated using an external magnetic field. Desired shape changes are achieved by judiciously designing a unimorph actuator comprised of an active MAE layer and a passive material substrate. In this paper, an analytical model is developed to predict the shape change of an MAE unimorph actuator that is segmented along its length. The shape change performance of a unimorph actuator consisting of polydimethylsiloxane (PDMS) embedded with barium hexaferrite (BHF) particles and a passive substrate of Scotch tape is investigated for different segmented geometric configurations. An Euler-Bernoulli model is developed to predict the free deflection and blocked force of the segmented unimorph given the geometric information, properties of the materials, and the external magnetic field strength. A numerical approach is also developed to account for consecutive segments and different conditions for each segment as the unimorph bends. The conditions include the spatial variation of the magnetic field and the dependence of actuation torque on the bending angle. The model is validated with experiments under the same conditions, and the outcomes show good agreement with the experimental results. The validated model is used in a parametric study to assess the effects of the geometric parameters, material properties, and the magnitude of the magnetic field on the shape change.
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Dras, Luke, Alan L. Jennings, and Richard Cobb. "Model Complexity Reduction of a Segmented Mirror Telescope." In AIAA Modeling and Simulation Technologies Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0476.

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Sedghi, B., M. Muller, and B. Bauvir. "Dynamical simulation of E-ELT segmented primary mirror." In Integrated Modeling of Complex Optomechanical Systems, edited by Torben Andersen and Anita Enmark. SPIE, 2011. http://dx.doi.org/10.1117/12.915503.

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Ryaciataki-Boussalis, H. A., and C. H. Charles Ih. "Modeling and stability of segmented reflector telescopes." In Twenty-Third Asilomar Conference on Signals, Systems and Computers, 1989. IEEE, 1989. http://dx.doi.org/10.1109/acssc.1989.1200956.

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Sirlin, Samuel W., and David C. Redding. "Modeling and initialization of a segmented telescope." In Aerospace Sensing, edited by John A. Breakwell. SPIE, 1992. http://dx.doi.org/10.1117/12.138153.

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Lin, Chiao-Chien, and Ying-Yu Tzou. "Modeling and sensorless control of a segmented PMSM." In 2015 17th European Conference on Power Electronics and Applications (EPE'15 ECCE-Europe). IEEE, 2015. http://dx.doi.org/10.1109/epe.2015.7309401.

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Milman, Mark H., and Laura Needels. "Modeling and optimization of a segmented reflector telescope." In 1993 North American Conference on Smart Structures and Materials, edited by Nesbitt W. Hagood and Gareth J. Knowles. SPIE, 1993. http://dx.doi.org/10.1117/12.152805.

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Waggoner, Kullen W., and Robert A. Lake. "Modeling of segmented controlled electrostatically actuated bimorph beams." In 2017 IEEE National Aerospace and Electronics Conference (NAECON). IEEE, 2017. http://dx.doi.org/10.1109/naecon.2017.8268753.

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Reports on the topic "Segmented modeling":

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Hodgdon, Taylor, Brendan West, Julie Parno, Theodore Letcher, Zoe Courville, and Lauren Farnsworth. Extracting sintered snow properties from microCT imagery to initialize a discrete element method model. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45305.

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Modeling snow’s mechanical behavior is important for many cold regions engineering problems. Because snow’s microstructure plays a significant role in its mechanical response, it is imperative to initialize models with accurate bond characteristics and realistic snow-grain geometries to precisely capture the microstructure interactions. Previous studies have processed microcomputed tomography scans of snow samples with a watershed method to extract grain geometries. This approach relies on identification of seed points to segment each grain. Our new methodology, called the “moving window method,” does not require prior knowledge of the snow-grain-size distribution to identify seed points. We use the interconnectivity of the segmented grains to identify bond characteristics. We compare the resultant grain-size and bond-size distributions to the known grain sizes of the laboratory-made snow samples. The grain-size distributions from the moving window method closely match the known grain sizes, while both results from the traditional method produce grains that are too large. We propose that the bond net-work identified using the traditional method underestimates the number of bonds and overestimates bond radii. Our method allows us to segment realistic snow grains and their associated bonds, without prior knowledge of the samples, from which we can initialize numerical models of the snow.
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Mathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2119.

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This research project 1) evaluates the effect of road network, demographic, and land use characteristics on road crashes involving teen drivers, and, 2) develops and compares the predictability of local and global regression models in estimating teen crash frequency. The team considered data for 201 spatially distributed road segments in Mecklenburg County, North Carolina, USA for the evaluation and obtained data related to teen crashes from the Highway Safety Information System (HSIS) database. The team extracted demographic and land use characteristics using two different buffer widths (0.25 miles and 0.5 miles) at each selected road segment, with the number of crashes on each road segment used as the dependent variable. The generalized linear models with negative binomial distribution (GLM-based NB model) as well as the geographically weighted negative binomial regression (GWNBR) and geographically weighted negative binomial regression model with global dispersion (GWNBRg) were developed and compared. This research relied on data for 147 geographically distributed road segments for modeling and data for 49 segments for validation. The annual average daily traffic (AADT), light commercial land use, light industrial land use, number of household units, and number of pupils enrolled in public or private high schools are significant explanatory variables influencing the teen crash frequency. Both methods have good predictive capabilities and can be used to estimate the teen crash frequency. However, the GWNBR and GWNBRg better capture the spatial dependency and spatial heterogeneity among road teen crashes and the associated risk factors.
3

Savosko, V., I. Komarova, Yu Lykholat, E. Yevtushenko, and T. Lykholat. Predictive model of heavy metals inputs to soil at Kryvyi Rih District and its use in the training for specialists in the field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4511.

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The importance of our research is due to the need to introduce into modern biological education methods of predictive modeling which are based on relevant factual material. Such an actual material may be the entry of natural and anthropic heavy metals into the soil at industrial areas. The object of this work: (i) to work out a predictive model of the total heavy metals inputs to soil at the Kryvyi Rih ore-mining & metallurgical District and (ii) to identify ways to use this model in biological education. Our study areas are located in the Kryvyi Rih District (Dnipropetrovsk region, Central Ukraine). In this work, classical scientific methods (such as analysis and synthesis, induction and deduction, analogy and formalization, abstraction and concretization, classification and modelling) were used. By summary the own research results and available scientific publications, the heavy metals total inputs to soils at Kryvyi Rih District was predicted. It is suggested that the current heavy metals content in soils of this region due to 1) natural and 2) anthropogenic flows, which are segmented into global and local levels. Predictive calculations show that heavy metals inputs to the soil of this region have the following values (mg ⋅ m2/year): Fe – 800-80 000, Mn – 125-520, Zn – 75-360, Ni – 20-30, Cu – 15-50, Pb – 7.5-120, Cd – 0.30-0.70. It is established that anthropogenic flows predominate in Fe and Pb inputs (60-99 %), natural flows predominate in Ni and Cd inputs (55-95 %). While, for Mn, Zn, and Cu inputs the alternate dominance of natural and anthropogenic flows are characterized. It is shown that the predictive model development for heavy metals inputs to soils of the industrial region can be used for efficient biological education (for example in bachelors of biologists training, discipline "Computer modelling in biology").
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Савосько, Василь Миколайович, Ірина Олександрівна Комарова, Юрій Васильович Лихолат, Едуард Олексійович Євтушенко,, and Тетяна Юріївна Лихолат. Predictive Model of Heavy Metals Inputs to Soil at Kryvyi Rih District and its Use in the Training for Specialists in the Field of Biology. IOP Publishing, 2021. http://dx.doi.org/10.31812/123456789/4266.

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The importance of our research is due to the need to introduce into modern biological education methods of predictive modeling which are based on relevant factual material. Such an actual material may be the entry of natural and anthropic heavy metals into the soil at industrial areas. The object of this work: (i) to work out a predictive model of the total heavy metals inputs to soil at the Kryvyi Rih ore-mining & metallurgical District and (ii) to identify ways to use this model in biological education. Our study areas are located in the Kryvyi Rih District (Dnipropetrovsk region, Central Ukraine). In this work, classical scientific methods (such as analysis and synthesis, induction and deduction, analogy and formalization, abstraction and concretization, classification and modelling) were used. By summary the own research results and available scientific publications, the heavy metals total inputs to soils at Kryvyi Rih District was predicted. It is suggested that the current heavy metals content in soils of this region due to 1) natural and 2) anthropogenic flows, which are segmented into global and local levels. Predictive calculations show that heavy metals inputs to the soil of this region have the following values ( mg ∙ m ଶ year ⁄ ): Fe – 800-80 000, Mn – 125-520, Zn – 75-360, Ni – 20-30, Cu – 15-50, Pb – 7.5-120, Cd – 0.30-0.70. It is established that anthropogenic flows predominate in Fe and Pb inputs (60-99 %), natural flows predominate in Ni and Cd inputs (55-95 %). While, for Mn, Zn, and Cu inputs the alternate dominance of natural and anthropogenic flows are characterized. It is shown that the predictive model development for heavy metals inputs to soils of the industrial region can be used for efficient biological education (for example in bachelors of biologists training, discipline “Computer modelling in biology”).
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Dinovitzer. L52303 Development of Techniques to Assess the Long-Term Integrity of Wrinkled Pipeline. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), September 2009. http://dx.doi.org/10.55274/r0010332.

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The objective of the project was to develop a numerical model than may be used to predict the wrinkle formation and post formation behavior of a pipeline considering the effect of soil confinement and define the specifications for the development of a comprehensive wrinkle integrity assessment process. The result of this research is the development of wrinkle assessment techniques that could be used directly or could be used to codify maintenance guidelines. This project focused specifically on the pipe soil interaction modeling wrinkle formation as a result of the relative movement of the pipe and soil. The structural model developed and validated in this program and previous work could be applied to wrinkle bends, however, this issue is not specifically addressed in this report. In addition, the project development efforts focused on the monotonic soil interaction event of idealized (e.g., no secondary degradation like corrosion features) pipe segments. The project completed a critical review of existing structural and soil modelling techniques to identify the most suitable technologies for this application. The soil-pipe interaction under soil movement was found to be best represented using the LS-DYNA Multi-material Eulerian technique which permitted the application of a number of suitable soil constitutive models. This analysis tool permitted the consideration of a range of soil types and large soil displacements. Having defined the most suitable tool set, several pipe soil interaction models were developed. These models were used to illustrate the types of analyses that could be completed and the capabilities of the models to illustrate the sensitivity of the scenario loads, displacements to changes in soil, pipe and other parameters. The modeling results were discussed to demonstrate that their trends and results were in line with intuitive assumptions and engineering judgment. Additional models were developed to simulate large scale pipe-soil interaction laboratory test programs. The results of the simulated test programs were compared with the laboratory results as an initial validation of the modeling techniques and tools. The simulated soil displacement patterns, pipe strains and pipe displacement were shown to agree well with experimental results and as such illustrated the ability of the models to reproduce idealized pipe-soil interaction events. Full-scale soil displacement events were modeled to illustrate the application of the modeling tools to forecast or predict the effects of axial and transverse soil movements on buried pipeline segments. These results were used to illustrate the methods and assumptions inherent in the application of the modeling tools to predict soil loading on pipeline systems.
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Pitarka, Arben. Multi Segment Fault Rupture Modeling and Strong Ground Motion Simulation Using Irikura, Japan Recipe: Implementation in the in SCEC BB Platform. Office of Scientific and Technical Information (OSTI), April 2019. http://dx.doi.org/10.2172/1544495.

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Dahl, Travis, Justin Giles, Kathleen Staebell, David Biedenharn, and Joseph Dunbar. Effects of geologic outcrops on long-term geomorphic trends : New Madrid, MO, to Hickman, KY. Engineer Research and Development Center (U.S.), July 2021. http://dx.doi.org/10.21079/11681/41086.

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Abstract:
The Mississippi River between New Madrid, MO, and Hickman, KY, is of particular interest because of divergent trends in water surface profiles at the upstream and downstream ends of the reach. This report documents the investigation of the bathymetry, geology, and hydraulics of this segment of the river. The report shows that the area near River Mile 901 above Head of Passes strongly affects the river stages at low flows. This part of the river can experience high shear stresses when flows fall below 200,000 cfs, as opposed to most other locations where shear stress increases with flow. One-dimensional hydraulic modeling was also used to demonstrate that an increase of depth at a single scour hole, such as the one downstream from Hickman near River Mile 925, is unlikely to cause reach-wide degradation.
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Wallis. L51614 Slug Frequency in Horizontal Gas-Liquid Flow. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), February 1990. http://dx.doi.org/10.55274/r0011058.

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This report responds to A.G.A.s objective of initiating and planning means to create a reliable, mechanistic method of slug frequency prediction. Specific objectives were to: Update the prior review of existing knowledge Identify one or more alternative modelling approaches Recommend additional work if required Examination of empirical correlations for slug frequency shows that they have uncertainties which are large compared with experimental data. A mechanistic approach is sought. Previous mechanistic models have been either incomplete or numerically unstable. Several improvements were made to the Taitel-Dukler model for this process and a new calculation procedure developed using the method of characteristics. It is demonstrated here that this approach alone cannot lead to cyclic slug formation. The processes of wave growth continually wash out downstream without causing new slugs to form upstream. This has led to concentration on the mechanism of slug formation near the inlet to a pipe segment.
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Kanninen. PR-380-104500-R01 Minimum Permissible Bend Radii for Layered Composite Materials. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2013. http://dx.doi.org/10.55274/r0010802.

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The research utilized a closely coordinated combination of full-scale bend/burst testing and highly detailed finite element analysis (FEA) modeling of representative HPIR constructions in a two-phase iterative approach. The fundamentally sound methodology that was developed and validated in the research has the potential for optimizing the design of HPIR systems in regard to safely negotiating tight bends while renewing energy transmission pipelines in a wide range of operating conditions. The combination of FEA modeling and the full-scale bend/burst testing utilized in this research has led to an important conclusion in regard to the burst strengths of HPIR designs . In a 10D radius of curvature (RoC) bend (i.e., a multiple of 10 times the nominal diameter of the host pipe), the burst strength of an HPIR design is only 5% less than its burst strength in a straight segment. In addition, the analyses have strongly indicated that much tighter bends can also be accommodated without encountering drastic burst strength reductions. It has also become clear from this work that the further research needed to establish a full set of minimum allowable RoC values for HPIR installations must be based upon the stresses arising from the combination of RoC, bend angle, diametrical clearance, and axial tension. . A preliminary application of the methodology for an HPIR installation in a cased crossing rehabilitation is included in this report to demonstrate that this new technology has already been implemented and that it has made a significant impact in a commercial installation. Recommended further research that would generalize and substantiate a broad-based methodology for determining the minimum permissible RoC of a pipeline bend that can be negotiated in an installation of the HPIR system beyond the 10D value established in this research is also outlined in the report.
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Bruce. L52090 Near-Neutral pH SCC - Dormancy and Re-Initiation of Stress Corrosion Cracks. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), April 2003. http://dx.doi.org/10.55274/r0011360.

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The objective of this research project was to identify the environmental, metallurgical, and mechanical conditions that lead to dormancy and re-initiation of previously dormant stress corrosion cracks. These parameters would assist pipeline operators in mitigating near-neutral pH SCC on their systems, and allocating resources for pipeline maintenance. Unload-reload transients were found to increase the crack growth rate in the majority of the experiments and to re-initiate dormant stress corrosion cracks in several cases. On the other hand, there was no consistent effect of the presence or magnitude of overloads on crack growth behavior. The simulated hydrostatic tests had relatively little effect on the crack velocities for near dormant conditions, but consistently inhibited subsequent crack growth for actively growing cracks. The results of analyses of the data and modeling suggest that the R ratio (ratio of minimum to maximum pressure) and frequency of pressure fluctuations on an operating pipeline can be used as a tool to rank segments of pipelines base on the mechanical driving force for propagation of near neutral pH SCC. The concept of a critical crack tip strain rate, which can be related to the R ratio and frequency, also can be used to reasonably predict whether a given set of loading conditions will lead to dormancy.

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