Relevant bibliographies by topics / 3D computational modeling

Academic literature on the topic '3D computational modeling'

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Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "3D computational modeling"

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Paulsen, Jonas, Tharvesh Moideen Liyakat Ali, and Philippe Collas. "Computational 3D genome modeling using Chrom3D." Nature Protocols 13, no. 5 (April 26, 2018): 1137–52. http://dx.doi.org/10.1038/nprot.2018.009.

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Laing, Christian, and Tamar Schlick. "Computational approaches to 3D modeling of RNA." Journal of Physics: Condensed Matter 22, no. 28 (June 15, 2010): 283101. http://dx.doi.org/10.1088/0953-8984/22/28/283101.

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Khoei, A. R., A. R. Azami, and S. Azizi. "Computational modeling of 3D powder compaction processes." Journal of Materials Processing Technology 185, no. 1-3 (April 2007): 166–72. http://dx.doi.org/10.1016/j.jmatprotec.2006.03.122.

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Dawson, Wayne K., and Janusz M. Bujnicki. "Computational modeling of RNA 3D structures and interactions." Current Opinion in Structural Biology 37 (April 2016): 22–28. http://dx.doi.org/10.1016/j.sbi.2015.11.007.

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Dłotko, Paweł, and Ruben Specogna. "Cohomology in 3D Magneto-Quasistatics Modeling." Communications in Computational Physics 14, no. 1 (July 2013): 48–76. http://dx.doi.org/10.4208/cicp.151111.180712a.

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AbstractElectromagnetic modeling provides an interesting context to present a link between physical phenomena and homology and cohomology theories. Over the past twenty-five years, a considerable effort has been invested by the computational electromagnetics community to develop fast and general techniques for defining potentials. When magneto-quasi-static discrete formulations based on magnetic scalar potential are employed in problemswhich involve conductive regionswith holes, cuts are needed to make the boundary value problem well defined. While an intimate connection with homology theory has been quickly recognized, heuristic definitions of cuts are surprisingly still dominant in the literature.The aim of this paper is first to survey several definitions of cuts together with their shortcomings. Then, cuts are defined as generators of the first cohomology group over integers of a finite CW-complex. This provably general definition has also the virtue of providing an automatic, general and efficient algorithm for the computation of cuts. Some counter-examples show that heuristic definitions of cuts should be abandoned. The use of cohomology theory is not an option but the invaluable tool expressly needed to solve this problem.
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Sher, E. N. "3D computational model of wedge penetrator-rock mass interaction dynamics." Interexpo GEO-Siberia 2, no. 4 (May 18, 2022): 29–37. http://dx.doi.org/10.33764/2618-981x-2022-2-4-29-37.

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The paper describes computational model variants of penetration dynamics of a wedge-shaped tool in rock mass. The computation uses the quasi-static approximation of penetration resistance forces obtained preliminarily in 2D and 3D formulations. The scope of the analysis embraces the elastoplastic and elastic deformation events in the medium with regard to the equilibrium propagation of a main crack. The calculation results are compared with the experimental modeling data on impact-driven wedge penetration in an organic glass block. The comparison proves efficiency of the described computational models.
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Bickel, Bernd, and Marc Alexa. "Computational Aspects of Fabrication: Modeling, Design, and 3D Printing." IEEE Computer Graphics and Applications 33, no. 6 (November 2013): 24–25. http://dx.doi.org/10.1109/mcg.2013.89.

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Cui, Meng-Yao, Shao-Ping Lu, Miao Wang, Yong-Liang Yang, Yu-Kun Lai, and Paul L. Rosin. "3D computational modeling and perceptual analysis of kinetic depth effects." Computational Visual Media 6, no. 3 (August 13, 2020): 265–77. http://dx.doi.org/10.1007/s41095-020-0180-x.

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Abstract Humans have the ability to perceive kinetic depth effects, i.e., to perceived 3D shapes from 2D projections of rotating 3D objects. This process is based on a variety of visual cues such as lighting and shading effects. However, when such cues are weak or missing, perception can become faulty, as demonstrated by the famous silhouette illusion example of the spinning dancer. Inspired by this, we establish objective and subjective evaluation models of rotated 3D objects by taking their projected 2D images as input. We investigate five different cues: ambient luminance, shading, rotation speed, perspective, and color difference between the objects and background. In the objective evaluation model, we first apply 3D reconstruction algorithms to obtain an objective reconstruction quality metric, and then use quadratic stepwise regression analysis to determine weights of depth cues to represent the reconstruction quality. In the subjective evaluation model, we use a comprehensive user study to reveal correlations with reaction time and accuracy, rotation speed, and perspective. The two evaluation models are generally consistent, and potentially of benefit to inter-disciplinary research into visual perception and 3D reconstruction.
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Plessix, R. E., M. Darnet, and W. A. Mulder. "An approach for 3D multisource, multifrequency CSEM modeling." GEOPHYSICS 72, no. 5 (September 2007): SM177—SM184. http://dx.doi.org/10.1190/1.2744234.

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We discuss a practical approach for multisource, multifrequency controlled-source electromagnetic (CSEM) modeling. The approach consists of an efficient iterative multigrid-based solver and an automatic gridding procedure. For a given frequency and a given source location, the automatic gridding procedure ensures that the computational grid is consistent with the discretization of the electromagnetic equations. The conductivity is mapped from the input grid onto the automatically defined computational grid by volume averaging. This mapping changes the conductivity representation. Volume averaging based on the logarithm of the conductivity provides the best result. When the stretching in the computational grid is moderate, we use a multigrid method based on full coarsening. However, when the stretching is more severe, we propose a more robust multigrid method based on semicoarsening. Numerical examples show the usefulness of this approach for survey design and scenario studies over complex heterogeneous structures, when the layered-earth assumption is not satisfactory.
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Chanel, Paul G., and John C. Doering. "Assessment of spillway modeling using computational fluid dynamics." Canadian Journal of Civil Engineering 35, no. 12 (December 2008): 1481–85. http://dx.doi.org/10.1139/l08-094.

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Throughout the design and planning period for future hydroelectric generating stations, hydraulic engineers are increasingly integrating computational fluid dynamics (CFD) into the process. As a result, hydraulic engineers are interested in the reliability of CFD software to provide accurate flow data for a wide range of structures, including a variety of different spillways. In the literature, CFD results have generally been in agreement with physical model experimental data. Despite past success, there has not been a comprehensive assessment that looks at the ability of CFD to model a range of different spillway configurations, including flows with various gate openings. In this article, Flow-3D is used to model the discharge over ogee-crested spillways. The numerical model results are compared with physical model studies for three case study evaluations. The comparison indicates that the accuracy of Flow-3D is related to the parameter P/Hd.
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Dissertations / Theses on the topic "3D computational modeling"

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Belyaeva, Anastasiya. "Computational methods for analyzing and modeling gene regulation and 3D genome organization." Thesis, Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130828.

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Thesis: Ph. D., Massachusetts Institute of Technology, Computational and Systems Biology Program, February, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 261-281).
Biological processes from differentiation to disease progression are governed by gene regulatory mechanisms. Currently large-scale omics and imaging data sets are being collected to characterize gene regulation at every level. Such data sets present new opportunities and challenges for extracting biological insights and elucidating the gene regulatory logic of cells. In this thesis, I present computational methods for the analysis and integration of various data types used for cell profiling. Specifically, I focus on analyzing and linking gene expression with the 3D organization of the genome. First, I describe methodologies for elucidating gene regulatory mechanisms by considering multiple data modalities. I design a computational framework for identifying colocalized and coregulated chromosome regions by integrating gene expression and epigenetic marks with 3D interactions using network analysis.
Then, I provide a general framework for data integration using autoencoders and apply it for the integration and translation between gene expression and chromatin images of naive T-cells. Second, I describe methods for analyzing single modalities such as contact frequency data, which measures the spatial organization of the genome, and gene expression data. Given the important role of the 3D genome organization in gene regulation, I present a methodology for reconstructing the 3D diploid conformation of the genome from contact frequency data. Given the ubiquity of gene expression data and the recent advances in single-cell RNA-sequencing technologies as well as the need for causal modeling of gene regulatory mechanisms, I then describe an algorithm as well as a software tool, difference causal inference (DCI), for learning causal gene regulatory networks from gene expression data.
DCI addresses the problem of directly learning differences between causal gene regulatory networks given gene expression data from two related conditions. Finally, I shift my focus from basic biology to drug discovery. Given the current COVID19 pandemic, I present a computational drug repurposing platform that enables the identification of FDA approved compounds for drug repurposing and investigation of potential causal drug mechanisms. This framework relies on identifying drugs that reverse the signature of the infection in the space learned by an autoencoder and then uses causal inference to identify putative drug mechanisms.
by Anastasiya Belyaeva.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Computational and Systems Biology Program
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Wang, Junle. "From 2D to stereoscopic-3D visual saliency : revisiting psychophysical methods and computational modeling." Nantes, 2012. http://www.theses.fr/2012NANT2072.

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L’attention visuelle est l’un des mécanismes les plus importants mis en oeuvre par le système visuel humain (SVH) afin de réduire la quantité d’information que le cerveau a besoin de traiter pour appréhender le contenu d’une scène. Un nombre croissant de travaux est consacré à l’étude de l’attention visuelle, et en particulier à sa modélisation computationnelle. Dans cette thèse, nous présentons des études portant sur plusieurs aspects de cette recherche. Nos travaux peuvent être classés globalement en deux parties. La première concerne les questions liées à la vérité de terrain utilisée, la seconde est relative à la modélisation de l’attention visuelle dans des conditions de visualisation 3D. Dans la première partie, nous analysons la fiabilité de cartes de densité de fixation issues de différentes bases de données occulométriques. Ensuite, nous identifions quantitativement les similitudes et les différences entre carte de densité de fixation et carte d’importance visuelle, ces deux types de carte étant les vérités de terrain communément utilisées par les applications relatives à l’attention. Puis, pour faire face au manque de vérité de terrain exploitable pour la modélisation de l’attention visuelle 3D, nous procédons à une expérimentation oculométrique binoculaire qui aboutit à la création d’une nouvelle base de données avec des images stéréoscopiques 3D. Dans la seconde partie, nous commençons par examiner l’impact de la profondeur sur l’attention visuelle dans des conditions de visualisation 3D. Nous quantifions d’abord le " biais de profondeur " lié à la visualisation de contenus synthétiques 3D sur écran plat stéréoscopique. Ensuite, nous étendons notre étude avec l’usage d’images 3D au contenu naturel. Nous proposons un modèle de l’attention visuelle 3D basé saillance de profondeur, modèle qui repose sur le contraste de profondeur de la scène. Deux façons différentes d’exploiter l’information de profondeur par notre modèle sont comparées. Ensuite, nous étudions le biais central et les différences qui existent selon que les conditions de visualisation soient 2D ou 3D. Nous intégrons aussi le biais central à notre modèle de l’attention visuelle 3D. Enfin, considérant que l’attention visuelle combinée à une technique de floutage peut améliorer la qualité d’expérience de la TV-3D, nous étudions l’influence de flou sur la perception de la profondeur, et la relation du flou avec la disparité binoculaire
Visual attention is one of the most important mechanisms deployed in the human visual system to reduce the amount of information that our brain needs to process. An increasing amount of efforts are being dedicated in the studies of visual attention, particularly in computational modeling of visual attention. In this thesis, we present studies focusing on several aspects of the research of visual attention. Our works can be mainly classified into two parts. The first part concerns ground truths used in the studies related to visual attention ; the second part contains studies related to the modeling of visual attention for Stereoscopic 3D (S-3D) viewing condition. In the first part, our work starts with identifying the reliability of FDM from different eye-tracking databases. Then we quantitatively identify the similarities and difference between fixation density maps and visual importance map, which have been two widely used ground truth for attention-related applications. Next, to solve the problem of lacking ground truth in the community of 3D visual attention modeling, we conduct a binocular eye-tracking experiment to create a new eye-tracking database for S-3D images. In the second part, we start with examining the impact of depth on visual attention in S-3D viewing condition. We firstly introduce a so-called “depth-bias” in the viewing of synthetic S-3D content on planar stereoscopic display. Then, we extend our study from synthetic stimuli to natural content S-3D images. We propose a depth-saliency-based model of 3D visual attention, which relies on depth contrast of the scene. Two different ways of applying depth information in S-3D visual attention model are also compared in our study. Next, we study the difference of center-bias between 2D and S-3D viewing conditions, and further integrate the center-bias with S-3D visual attention modeling. At the end, based on the assumption that visual attention can be used for improving Quality of Experience of 3D-TV when collaborating with blur, we study the influence of blur on depth perception and blur’s relationship with binocular disparity
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Vaterlaus, Austin C. "Development of a 3D Computational Vocal Fold Model Optimization Tool." BYU ScholarsArchive, 2020. https://scholarsarchive.byu.edu/etd/8468.

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One of the primary objectives of voice research is to better understand the biomechanics of voice production and how changes in properties of the vocal folds (VFs) affect voice ability and quality. Synthetic VF models provide a way to observe how changes in geometry and material property affect voice biomechanics. This thesis seeks to evaluate an approach of using a genetic algorithm to design synthetic VF models in three ways: first, through the development of a computationally cost-effective 3D vocal fold model; second, by creating and optimizing a variation of this model; and third, by validating the approach. To reduce computation times, a user-defined function (UDF) was implemented in low-fidelity 2D and 3D computational VF models. The UDF replaced the conventional meshed fluid domain with the mechanical energy equation. The UDF was implemented in the commercial finite element code ADINA and verified to produce results that were similar to those of 2D and 3D VF models with meshed fluid domains. Computation times were reduced by 86% for 2D VF models and 74% for 3D VF models while core vibratory characteristic changes were less than 5%. The results from using the UDF demonstrate that computation times could be reduced while still producing acceptable results. A genetic algorithm optimizer was developed to study the effects of altering geometry and material elasticity on frequency, closed quotient (CQ), and maximum flow declination rate (MFDR). The objective was to achieve frequency and CQ values within the normal human physiological range while maximizing MFDR. The resulting models enabled an exploration of trends between objective and design variables. Significant trends and aspects of model variability are discussed. The results demonstrate the benefit of using a structured model exploration method to create models with desirable characteristics. Two synthetic VF models were fabricated to validate predictions made by models produced by the genetic algorithm. Fabricated models were subjected to tests where frequency, CQ, and sound pressure level were measured. Trends between computational and synthetic VF model responses are discussed. The results show that predicted frequency trends between computational and synthetic models were similar, trends for closed quotient were inconclusive, and relationships between MFDR and sound pressure level remained consistent. Overall, while discrepancies between computational and synthetic VF model results were observed and areas in need of further study are noted, the study results provide evidence of potential for using the present optimization method to design synthetic VF models.
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Fadeel, Abdalsalam. "Development and Application of a Computational Modeling Scheme for Periodic Lattice Structures." Wright State University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright162248153014535.

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Collar, Catharine Jane. "Rational Drug Design for Neglected Diseases: Implementation of Computational Methods to Construct Predictive Devices and Examine Mechanisms." Digital Archive @ GSU, 2010. http://digitalarchive.gsu.edu/chemistry_diss/48.

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Over a billion individuals worldwide suffer from neglected diseases. This equates to approximately one-sixth of the human population. These infections are often endemic in remote tropical regions of impoverished populations where vectors can flourish and infected individuals cannot be effectively treated due to a lack of hospitals, medical equipment, drugs, and trained personnel. The few drugs that have been approved for the treatments of such illnesses are not widely used because they are riddled with inadequate implications of cost, safety, drug availability, administration, and resistance. Hence, there exists an eminent need for the design and development of improved new therapeutics. Influential world-renowned scientists in the Consortium for Parasitic Drug Development (CPDD) have preformed extensive biological testing for compounds active against parasites that cause neglected diseases. These data were acquired through several collaborations and found applicable to computational studies that examine quantitative structure-activity relationships through the development of predictive models and explore structural relationships through docking. Both of these in silico tools can contribute to an understanding of compound structural importance for specific targets. The compilation of manuscripts presented in this dissertation focus on three neglected diseases: trypanosomiasis, Chagas disease, and leishmaniasis. These diseases are caused by kinetoplastid parasites Trypanosoma brucei, Trypanosoma cruzi, and Leishmania spp., respectively. Statistically significant predictive devices were developed for the inhibition of the: (1) T. brucei P2 nucleoside transporter, (2) T. cruzi parasite at two temperatures, and (3) two species of Leishmania. From these studies compound structural importance was assessed for the targeting of each parasitic system. Since these three parasites are all from the Order Kinetoplastida and the kinetoplast DNA has been determined a viable target, compound interactions with DNA were explored to gain insight into binding modes of known and novel compounds.
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White, Douglas. "Analyzing multicellular interactions: A hybrid computational and biological pattern recognition approach." Diss., Georgia Institute of Technology, 2015. http://hdl.handle.net/1853/54876.

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Pluripotent embryonic stem cells (ESCs) can differentiate into all somatic cell types, making them a useful platform for studying a variety of cellular phenomenon. Furthermore, ESCs can be induced to form aggregates called embryoid bodies (EBs) which recapitulate the dynamics of development and morphogenesis. However, many different factors such as gradients of soluble morphogens, direct cell-to-cell signaling, and cell-matrix interactions have all been implicated in directing ESC differentiation. Though the effects of individual factors have often been investigated independently, the inherent difficulty in assaying combinatorial effects has made it difficult to ascertain the concerted effects of different environmental parameters, particularly due to the spatial and temporal dynamics associated with such cues. Dynamic computational models of ESC differentiation can provide powerful insight into how different cues function in combination both spatially and temporally. By combining particle based diffusion models, cellular agent based approaches, and physical models of morphogenesis, a multi-scale, rules-based modeling framework can provide insight into how each component contributes to differentiation. I propose to investigate the complex regulatory cues which govern complex morphogenic behavior in 3D ESC systems via a computational rules based modeling approach. The objective of this study is to examine how spatial patterns of differentiation by ESCs arise as a function of the microenvironment. The central hypothesis is that spatial control of soluble morphogens and cell-cell signaling will allow enhanced control over the patterns and efficiency of stem cell differentiation in embryoid bodies.
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Borrman, Tyler M. "Measuring Stability of 3D Chromatin Conformations and Identifying Neuron Specific Chromatin Loops Associated with Schizophrenia Risk." eScholarship@UMMS, 2020. https://escholarship.umassmed.edu/gsbs_diss/1111.

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The 23 pairs of chromosomes comprising the human genome are intricately folded within the nucleus of each cell in a manner that promotes efficient gene regulation and cell function. Consequently, active gene rich regions are compartmentally segregated from inactive gene poor regions of the genome. To better understand the mechanisms driving compartmentalization we investigated what would occur if this system was disrupted. By digesting the genome to varying sizes and analyzing the fragmented 3D structure over time, our work revealed essential laws governing nuclear compartmentalization. At a finer resolution within compartments, chromatin forms loop structures capable of regulating gene expression. Genome wide association studies have identified numerous single nucleotide polymorphisms (SNPs) associated with the neuropsychiatric disease schizophrenia. When these SNPs are not located within a gene it is difficult to gain insight into disease pathology; however, in some cases chromatin loops may link these noncoding schizophrenia risk variants to their pathological gene targets. By generating 3D genome maps, we identified and analyzed loops of glial cells, neural progenitor cells, and neurons thereby expanding the set of genes conferring schizophrenia risk. The binding of T-cell receptors (TCRs) to foreign peptides on the surface of diseased cells triggers an immune response against the foreign invader. Utilizing available structural information of the TCR antigen interface, we developed computational methods for successful prediction of TCR-antigen binding. As this binding is a prerequisite for immune response, such improvements in binding prediction could lead to important advancements in the fields of autoimmunity and TCR design for cancer therapeutics.
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Lanterne, Célestin. "Réparation et optimisation de maillages 3D pour l'impression 3D." Thesis, Bordeaux, 2019. http://www.theses.fr/2019BORD0454.

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Les imprimantes 3D utilisent des modèles 3D sous la forme de maillages pour définir la géométrie et l'apparence des objets à imprimer. Un maillage 3D doit posséder certaines propriétés topologiques pour que la géométrie qu'il représente soit imprimable, et la géométrie elle même doit respecter certaines conditions pour être imprimable. Ces propriétés et conditions peuvent varier selon la technologie d'impression 3D utilisée.De nombreux maillages 3D utilisés pour l'impression n'ont dans un premier temps pas été conçus pour cette application. La principale utilisation première de ces maillages est la visualisation, qui ne nécessite pas les mêmes propriétés topologiques et conditions géométriques. Le sujet de cette thèse est la réparation de ces maillages afin de les rendre imprimables.Une chaîne de réparation comprenant plusieurs étapes a été conçue dans ce but. Les conditions de non-variété sont réparées en réalisant une extraction de composantes connexes (surfaces). Les bords des surfaces sont détectés et classés en fonction de la meilleure réparation à appliquer sur chaque. Les bords des surfaces sont réparés suivant leurs classement soit par une méthode de remplissage soit par une méthode d'épaississement. La fragilité de la géométrie est détectée et contrôlée
3D printers use 3D models in the form of meshes to define the geometry and the appearance of objects to be printed. A 3D mesh must have some topological properties so that the geometry it represents could be printable and the geometry itself must respect certain conditions to be printable. These properties and conditions may vary depending on the 3D printing technologies in use.Many 3D meshes used for printing were not initially designed for this purpose application. The main primary use of these meshes is visualization, which does not require the same topological properties and geometric conditions. The subject of this thesis is the repair of these meshes to make them printable.A repair chain including several steps was designed for this purpose. Non-manifold conditions are repaired by extracting related components (surfaces). The boundaries of surfaces are detected and classified according to the best repair to be applied on each. The boundaries of surfaces are repaired according to their classification either by a filling method or by an offset method. The weakness of the geometry is detected and controlled
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Michálek, Mojmír Cyril. "Výpočtové modelování procesu 3D tisku součástí z PET-G materiálu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2020. http://www.nusl.cz/ntk/nusl-418192.

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Master’s thesis deals with computational modeling of 3D printing process done by FDM method made from PETG material using finite element method. Research section contains a brief description of 3D printing process modeling possibilities using finite element method and summarizes fundamental mechanical properties of thermoplastics. In practical section there is an evaluation of specimens printed of PETG material tensile tests. Further there is performed a sensitivity analysis of various influences on vertical imperfection of printed part Idler and is done its design modification, which is based on results of this analysis.
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Hartl, Alexander Verfasser], Nassir [Akademischer Betreuer] [Navab, and Sibylle [Akademischer Betreuer] Ziegler. "Computational modeling of detection physics for 3D intraoperative imaging with navigated nuclear probes / Alexander Hartl. Betreuer: Nassir Navab. Gutachter: Nassir Navab ; Sibylle Ziegler." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1079655190/34.

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Books on the topic "3D computational modeling"

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Zohdi, Tarek I. I. Modeling and Simulation of Functionalized Materials for Additive Manufacturing and 3D Printing : Continuous and Discrete Media: Continuum and Discrete ... Notes in Applied and Computational Mechanics). Springer, 2018.

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Book chapters on the topic "3D computational modeling"

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Moon, Jungkyu, and Deawoo Park. "3D Printing Signboard Production Using 3D Modeling Design." In Studies in Computational Intelligence, 109–21. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-64769-8_9.

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Julien, Leroy, and Nicolas Riche. "Toward 3D Visual Saliency Modeling." In From Human Attention to Computational Attention, 305–30. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3435-5_17.

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Centofanti, Mario, Stefano Brusaporci, and Vittorio Lucchese. "Architectural Heritage and 3D Models." In Computational Modeling of Objects Presented in Images, 31–49. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04039-4_2.

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Vlachakis, Dimitrios. "Antibody Clustering and 3D Modeling for Neurodegenerative Diseases." In Handbook of Computational Neurodegeneration, 1–13. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-319-75479-6_53-1.

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Empler, Tommaso. "3D Modeling of an Archeological Area: The Imperial Fora in Rome." In Computational Morphologies, 185–95. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60919-5_14.

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Gellibert, Adrien, Jérémy Savatier, Nicolas Pépin, and Olivier Fully. "3D Computational Modeling of the Galaube Dam Spillway." In Advances in Hydroinformatics, 361–76. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-615-7_25.

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Wawrzynek, P. A., B. J. Carter, A. R. Ingraffea, and D. O. Potyondy. "A Topological Approach to Modeling Arbitrary Crack Propagation in 3D." In DIANA Computational Mechanics ‘84, 69–84. Dordrecht: Springer Netherlands, 1994. http://dx.doi.org/10.1007/978-94-011-1046-4_7.

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Min, Kyongpil, and Junchul Chun. "Image-Based 3D Face Modeling from Stereo Images." In Computational Science and Its Applications - ICCSA 2006, 410–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11751540_44.

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Németh, Gábor, Péter Kardos, and Kálmán Palágyi. "Topology Preserving Parallel Smoothing for 3D Binary Images." In Computational Modeling of Objects Represented in Images, 287–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12712-0_26.

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Grosman, Leore, Gonen Sharon, Talia Goldman-Neuman, Oded Smikt, and Uzy Smilansky. "3D Modeling: New Method for Quantifying Post-depositional Damages." In Contributions in Mathematical and Computational Sciences, 11–20. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28021-4_2.

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Conference papers on the topic "3D computational modeling"

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Freitag, Christoph, Peter Kühmstedt, Gunther Notni, and Herbert Gross. "Simulation of computational ghost imaging: application for 3D measurement." In Modeling Aspects in Optical Metrology VII, edited by Bernd Bodermann, Karsten Frenner, and Richard M. Silver. SPIE, 2019. http://dx.doi.org/10.1117/12.2526380.

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Obbink-Huizer, Christine, Cees W. J. Oomens, Sandra Loerakker, Jasper Foolen, Carlijn V. C. Bouten, and Frank P. T. Baaijens. "Computational Modeling of Cell Orientation in 3D Micro-Constructs." In ASME 2013 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/sbc2013-14252.

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In many tissue engineering applications it is essential to understand how cells orient under the influence of their mechanical environment. In vitro engineered models are used to investigate the orientation of F-actin stress fibers inside cells. One such in vitro model [1] consists of a mixture of cells, collagen and matrigel, that is constrained by an array of silicone posts (Figure 1). We have recently developed a computational model to describe the orientation of stress fibers in response to their mechanical environment [2]. In the present study, this computational model is extended to 3D and used to simulate cell behavior in the mentioned in vitro model. This improves our understanding of how stress fibers orient in response to the mechanical environment and aids in optimizing the use of the in vitro model.
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Schmidt, Henrik, and Finn B. Jensen. "Computational ocean acoustics: Advances in 3D ocean acoustic modeling." In ADVANCES IN OCEAN ACOUSTICS: Proceedings of the 3rd International Conference on Ocean Acoustics (OA2012). AIP, 2012. http://dx.doi.org/10.1063/1.4765904.

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Liu, Xiaofeng, Matthew Farthing, and Mahdad Talepour. "Jet erosion test apparatus: A 3D computational modeling appraisal." In The International Conference On Fluvial Hydraulics (River Flow 2016). Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315644479-215.

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Wu, Tien-Shuenn, Hua Shan, Gour-Tsyh Yeh, and Gordon Hu. "Computational Modeling of Moving Boundaries in a 3D Surface Water Model." In 10th International Conference on Estuarine and Coastal Modeling. Reston, VA: American Society of Civil Engineers, 2008. http://dx.doi.org/10.1061/40990(324)15.

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Fatemeh, Sharifi, Bahar Firoozabadi, and Keikhosrow Firoozbakhsh. "Computational Modeling of 3D Printed Hepatic Spheroids Inside a Bioreactor." In 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME). IEEE, 2018. http://dx.doi.org/10.1109/icbme.2018.8703541.

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Zepeda-Galvez, Juan Adrian, Arturo Ayon, and Clarissa Vazquez Colon. "Computational Modeling of 3D Metamaterial Wire Arrays for Terahertz Operation." In 2019 Symposium on Design, Test, Integration & Packaging of MEMS and MOEMS (DTIP). IEEE, 2019. http://dx.doi.org/10.1109/dtip.2019.8752808.

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Panoiu, Nicolae C., and Martin Weismann. "Computational modeling of nonlinear optical response of 2D-3D heteromaterials." In 2016 International Conference on Electromagnetics in Advanced Applications (ICEAA). IEEE, 2016. http://dx.doi.org/10.1109/iceaa.2016.7731473.

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Li, Jia, Yue Zhang, Pin Xu, Shanzhen Lan, and Shaobin Li. "3D Personalized Face Modeling Based on KINECT2." In 2016 9th International Symposium on Computational Intelligence and Design (ISCID). IEEE, 2016. http://dx.doi.org/10.1109/iscid.2016.1052.

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Simas, Gisele M., Guilherme P. Fickel, Lucas Novelo, Silvia S. C. Botelho, and Rodrigo A. de Bem. "Using Computer Vision for 3D Probabilistic Reconstruction and Motion Tracking." In 2009 Third Southern Conference on Computational Modeling (MCSUL). IEEE, 2009. http://dx.doi.org/10.1109/mcsul.2009.18.

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Reports on the topic "3D computational modeling"

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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison, et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.

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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.
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SIMPLIFIED MODELLING OF NOVEL NON-WELDED JOINTS FOR MODULAR STEEL BUILDINGS. The Hong Kong Institute of Steel Construction, December 2021. http://dx.doi.org/10.18057/ijasc.2021.17.4.10.

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Prefabricated modular steel (PFMS) construction is a more efficient and safe method of constructing a high-quality building with less waste material and labour dependency than traditional steel construction. It is indeed critical to have a precise and valuable intermodular joining system that allows for efficient load transfer, safe handling, and optimal use of modular units' strength. Thus, the purpose of this study was to develop joints using tension bolts and solid tenons welded into the gusset plate (GP). These joints ensured rigid and secure connectivity in both horizontal and vertical directions for the modular units. Using the three-dimensional (3D) finite element (FE) analysis software ABAQUS, the study investigated the nonlinear lateral structural performance of the joint and two-storey modular steel building (MSB). The solid element FE models of joints were then simplified by introducing connectors and beam elements to enhance computational efficiency. Numerous parameters indicated that column tenons were important in determining the joint's structural performance. Moreover, with a standard deviation (SD) of 0.025, the developed connectors and beam element models accurately predicted the structural behaviour of the joints. As a result of their simplification, these joints demonstrated effective load distribution, seismic performance, and ductility while reducing computational time, effort, and complexity. The validity of the FE analysis was then determined by comparing the results to the thirteen joint bending tests performed in the reference.
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