Relevant bibliographies by topics / Non-Linear modeling

Academic literature on the topic 'Non-Linear modeling'

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Published: 4 June 2021
Last updated: 21 February 2023

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Journal articles on the topic "Non-Linear modeling"

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NAKAGAWA, Taro, Mitsuharu HIRASAWA, Katsumi KOBAYASHI, and Satoshi SASAKI. "MODELING OF NON-LINEAR HYSTERETIC SOIL." Journal of Structural and Construction Engineering (Transactions of AIJ) 76, no. 666 (2011): 1407–14. http://dx.doi.org/10.3130/aijs.76.1407.

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Landis, Chad M. "Non-linear constitutive modeling of ferroelectrics." Current Opinion in Solid State and Materials Science 8, no. 1 (January 2004): 59–69. http://dx.doi.org/10.1016/j.cossms.2004.03.010.

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Costa, Mário Rui P. F. N., and Rolando C. S. Dias. "Kinetic Modeling of Non-Linear Polymerization." Macromolecular Symposia 243, no. 1 (November 2006): 72–82. http://dx.doi.org/10.1002/masy.200651108.

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Rafiq, Serwan Khorshid. "Non Linear Finite Element Modeling of Reinforced Concrete Flat Plate Slabs with openings." Sulaimani Journal for Engineering Sciences 4, no. 4 (May 1, 2017): 28–40. http://dx.doi.org/10.17656/sjes.10044.

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Abdulkadir, Mohamed Raouf, Zana Abdalla Aziz, and Jaza Hassan Muhammad. "Non Linear Finite Element Modeling of Reinforced Concrete Flat Plate Slabs with openings." Sulaimani Journal for Engineering Sciences 4, no. 4 (May 1, 2017): 41–49. http://dx.doi.org/10.17656/sjes.10045.

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ISHIKAWA, Ritsuko, Hitoshi SUWA, and Matsutaro SEKI. "MODELING OF NON-LINEAR VISCO-ELASTIC DAMPER." Journal of Structural and Construction Engineering (Transactions of AIJ) 66, no. 544 (2001): 47–52. http://dx.doi.org/10.3130/aijs.66.47_2.

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DUGGIRALA, SHYAM K., and L. T. FAN. "STOCHASTIC MODELING OF NON-LINEAR SIEVING KINETICS." Chemical Engineering Communications 61, no. 1-6 (November 1987): 59–88. http://dx.doi.org/10.1080/00986448708912031.

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Post, Alvin, and Willem Stuiver. "Modeling non-linear oscillators: a new approach." International Journal of Non-Linear Mechanics 39, no. 6 (August 2004): 897–908. http://dx.doi.org/10.1016/s0020-7462(03)00073-8.

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Marchand, Norman J., and John C. Moosbrugger. "Non-linear structural modeling for life predictions." International Journal of Pressure Vessels and Piping 47, no. 1 (January 1991): 79–112. http://dx.doi.org/10.1016/0308-0161(91)90087-i.

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Paetsch, C., and A. Dorfmann. "Non-linear modeling of active biohybrid materials." International Journal of Non-Linear Mechanics 56 (November 2013): 105–14. http://dx.doi.org/10.1016/j.ijnonlinmec.2013.03.005.

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Dissertations / Theses on the topic "Non-Linear modeling"

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Shim, Jaesool. "Modeling and simulation of non linear electrophoresis." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Dissertations/Fall2007/j_shim_121407.pdf.

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Fogarty, Joseph C. "High Dimensional Non-Linear Optimization of Molecular Models." Scholar Commons, 2014. https://scholarcommons.usf.edu/etd/5618.

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Molecular models allow computer simulations to predict the microscopic properties of macroscopic systems. Molecular modeling can also provide a fully understood test system for the application of theoretical methods. The power of a model lies in the accuracy of the parameter values which govern its mathematical behavior. In this work, a new software, called ParOpt, for general high dimensional non-linear optimization will be presented. The software provides a very general framework for the optimization of a wide variety of parameter sets. The software is especially powerful when applied to the difficult task of molecular model parameter optimization. Three applications of the ParOpt software, and the Nelder-Mead algorithm implemented within it, are presented: a coarse-grained (CG) water--ion model, a model for the determination of lipid bilayer structure via the interpretation of scattering data, and a reactive molecular dynamics (ReaxFF) model for oxygen and hydrogen. Each problem presents specific difficulties. The power and generality of the ParOpt software is illustrated by the successful optimization of such a diverse set of problems.
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Argoti, Caicedo Alvaro Andres. "Linear and non-linear mechanistic modeling and simulation of the formation of carbon adsorbents." Diss., Manhattan, Kan. : Kansas State University, 2007. http://hdl.handle.net/2097/279.

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Atie, Elie. "Modeling of high electromagnetic field confinement metamaterials for both linear and non-linear applications." Thesis, Besançon, 2016. http://www.theses.fr/2016BESA2044/document.

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Notre recherche porte sur la réponse optique des nanostructures et nous sommes certainement intéressés à la modélisation de ces structures afin d'améliorer le confinement de la lumière. Ce confinement est un des paramètres qui conduisent à l'exaltation des effets optique linéaires et non linéaires, simultanément. Notre travail est divisé en deux sections, qui présentent deux effets optiques diffèrents basées sur le confinement des champs à l’intérieur du structure. Dans la première section, la réponse optique d’une nano-antenne à ouverture en forme de nœud papillon (BNA : Bowtie nano-aperture) sera étudiée en fonction de l’indice de réfraction du milieu. L’étude discute la variation de la longueur d’onde de résonance ainsi que l’intensité du champ confiné au milieu du gap de la BNA en fonction de la distance qui sépare l’antenne d’un substrat placé en face. L’étude prend le cas d’une BNA gravée au bout d’une fibre optique métallisée. Une étude numérique complète a été réalisée par des simulations numériques basées sur la méthode des différences finies FDTD-3D (Finite Difference Time Domaine – Three dimension). Le code utilisé est développé au sein du département d’Optique de l’Institut FEMTO-ST. Notre modèle numérique décrits bien la géométrie de l’antenne ainsi que la pointe. De même les propriétés optiques de la couche métallique de la sonde sont bien décrites à travers un modèle de dispersion (model de Drude). Une étude expérimentale a été réalisée en plus pour une validation des résultats collecte théoriquement, l’étude a considéré le cas de deux BNA avec des paramètres géométrique différents, néanmoins les résultats obtenues se correspond fortement aux résultats obtenues numériquement. Dans la deuxième partie, l'effet électro-optique des nanostructures sera étudié. L’effet électro-optique ou effet Pockels consiste d’une variation linéaire de l'indice de réfraction d'un milieu non-linéaire en fonction d'un champ électrique extérieur. Cependant, la variation est reliée au tenseur de susceptibilité non linéaire du deuxième ordre, ainsi, cette effet ce produit seulement dans les matériaux non-centrosymétrique. Dans notre étude les nanostructures sont fabrique avec le Niobate de Lithium (LN) qui est considéré comme le plus avantageux diélectrique pour l’exaltation des effets non linéaire grâce à ces propriétés (acousto-optique, électro-optique, piézoélectrique …). L’étude est complétée numériquement garce a des simulations basées sur la FDTD en tenant compte de la polarisation du champ. Au début, une validation de l’utilisation de la FDTD pour estimer l’effet électro-optique intrinsèque du LN a été achevée, l’étude considère un milieu homogène (pas de confinement des champs dans le milieu) qui a pour indice de réfraction celle du LN. Pour des structure qui présentes un confinement du champ plusieurs approximation ont été suggère dans cette partie. En outre, nous présentons un nouveau modèle auto-cohérent dans lequel la variation de l'indice de réfraction est modifiée au cours de la simulation. Plusieurs structure ont été discutés (réflecteur de Bragg, structure à cavité et 2D cristal photonique) qui présentent des facteurs de confinement différents. Une étude comparative entre les différentes méthodes, montre que la différence entre les résultats de chaque hypothèse devient plus important proportionnellement au facteur de confinement
Our research is concerned with the optical response of nano-structures by modeling them in order to enhance the confinement of light in these structures, which leads to the exaltation of linear and nonlinear optical effects.Our work is divided into two sections, which are based on the enhancement of the electric field inside the structure. In the first section, we study the optical properties of a Bowtie Nano-aperture, BNA, as a function of the refractive index of the surrounding medium. The study discusses the variation of the resonance wavelength and the intensity of the enhanced field in the gap of the BNA as a function of the distance from a sample placed in front of our BNA. The BNA is engraved at the apex of a metallic coated fiber tip. In this section a theoretical study was achieved using the Finite Difference Time Domain method FDTD in which we implement a Drude dispersion model to faithfully describe the optical properties of metals. In addition, a validating experimental study was achieved and a high accordance between both results is recorded.In the second section, the electro optical effect of nano-structures is studied. Electro-optical effect or Pockels effect is the variation of the refractive index of a nonlinear media as a function of an applied external electric field. The electro-optical effect is a linear variation of the media refractive index. However it is also related to the second order nonlinear susceptibility tensor, thus it becomes a nonlinear effect that only occurs in non-centrosymetric material. In our study we chose the case of a nano-structure fabricated with Lithium Niobate. Lithium Niobate is widely used in photonic applications due to its electro-optical, acousto-optical and nonlinear optical properties. We present a theoretical study of the electro-optical effects using the FDTD simulation method. We started by approving the ability to use the FDTD to calculate the refractive index variation in bulk Lithium Niobate then we suggest different approximations to estimate the refractive index variation when the light is confined inside the structure. In addition we suggest a new self-consistent method in which the variation of the refractive index is modified during the simulation. The study shows a comparison between different assumptions (used in previous research) and the self-consistent method for various structures, like Bragg reflectors, cavity structures and 2D photonic crystals. The study shows that the difference between the results of each assumption becomes greater when the optical confinement in the structure becomes more important
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Engel, James Economics Australian School of Business UNSW. "Studies of non-linear features in the business cycle." Publisher:University of New South Wales. Economics, 2008. http://handle.unsw.edu.au/1959.4/42960.

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Writers on the business cycle often emphasize that non-linear models are needed to account for certain of its features. Thus it is often said that either the asymmetry of the duration of business cycle expansions and contractions or the variability of these quantities demand a non-linear model. Such comments are rarely made precise however and mostly consist of references to such assertions from the past. Thus the asymmetry in the cycle is mostly accompanied by references to Keynes (1936) and Burns and Mitchell (1946). But these authors were looking at what we call today the classical cycle i.e. movements in the level of GDP, and so the fact that there are long expansions and short contractions can arise simply due to the presence of long-run growth in the economy, and it is not obvious that it has much to do with non-linearity. This thesis aims to introduce various statistics that can be used to characterise the specific shape of the non-linearity observed in macroeconomic time series. Chapter 2 introduces a range of statistics and presents the dating algorithm used in this thesis, which is based on the BBQ algorithm of Harding and Pagan (2002). Chapter 3 tests the adequacy of linear models versus the SETAR model of van Dijk and Franses(2003) and the bounceback model of Kim, Morley and Piger (2005) in capturing observed non-linear features of the data. Chapter 4 extends this work by examining the three state Markov model of Hamilton (1989), again using the ??bounce-back?? model of Kim C., Morley, J. and J. Piger, (2005), and the more complicated ??tension?? model of DeJong, D., Dharmarajan, H., Liesenfeld, R. and Richard, J., (2005). Chapter 4 also extends Chapter 3 by estimating the above mentioned models on US GDP, Australian non-farm GDP, US investment and Australian dwellings investment. They are then simulated in order to gauge the cycle properties. Chapter 5 analyses the business cycle implications of two related multivariate dynamic factor models presented in papers by Kim and Piger (2001, 2002). Finally Chapter 6 concludes.
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SPINOLA, ALEXANDRE DE LIMA. "MODELING AND NON LINEAR CONTROL OF A GROUND VEHICLENULLS STEERING." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2003. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=5109@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
Modelagem e Controle Não Linear de um Veículo Terrestre sobre Suspensão descreve um estudo em dinâmica veicular no qual inicialmente apresenta-se um modelo analítico para representar a geração de forças longitudinais e laterais no contato do pneu com o solo. Em seguida é desenvolvido, para um automóvel de passeio terrestre sobre suspensão, um modelo não linear de 4 graus de liberdade (velocidades longitudinal, lateral, de guinada e de rolagem), e a sua linearização. Expande-se esse modelo para um de 8 graus de liberdade, no qual inclui-se o movimento de rotação axial de cada uma das quatro rodas, e consideram-se os movimentos do veículo somente no plano, sem efeitos de pitch ou bounce, mas apresentando alguma relação de distribuição de cargas devido ao roll. Descrevem-se ainda modelos em Grafos de Ligação para os três dinâmicas de um veículo terrestre (longitudinal, lateral e vertical) e seus acoplamentos, visando futuras análises mais detalhadas desse sistema. Todos os modelos em malha aberta são validados através simulações computacionais em diversas condições típicas de operação. Na segunda parte desse trabalho é apresentada a estratégia proposta para o tratamento do problema de controle direcional do veículo em uma manobra qualquer, empregando a metodologia da linearização por realimentação, tendo como base o modelo linear de 4 graus de liberdade. São analisados os resultados encontrados através de simulação computacional para a malha fechada com diferentes combinações de parâmetros, empregando os modelos não lineares de 4 e 8 graus de liberdade. Conclui-se discutindo a possibilidade de generalização deste procedimento para diferentes aplicações em Dinâmica Veicular.
Modeling and Non Linear Control of a Ground Vehicle's Steering describles a study in vehicle dynamics, which presents an analytic model representing the generation of longitudinal and lateral forces at the contact patch between tire and ground. Next it is developed, for a typical passenger car, a non-linear model with four degrees of freedom (longitudinal, lateral, yaw and roll velocities), and its linearization. This model is then expanded to another one with eight degrees of freedom, which includes the axial rotation of each one of the four wheels, and considers the vehicle's movement only at a known plane, whithoud pitch and bounce effects, but including some load distribution among the wheels, due to roll. Computational simulation in varius typical operation condition validate all open loop models. The second part of this work presents the proposed strategy for directional control of a vehicle at any type of manoeuvre, using the feedback linearization methodology, directly applied to the linear four degrees of freedom model. Theresults obtained trhough computational simulation for a closed loop model with different parameters are analysed using both nonlinear four and eight degrees of freedom models. The possibility of generalizing this procedure to distinct applications in Vehicle Dynamics is, then, discussed.
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Rozite, Liva. "Non-linear behavior of bio-based composite : characterization and modeling." Licentiate thesis, Luleå tekniska universitet, Materialvetenskap, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-18691.

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The development and application of bio-based composite materials have been frequently studied. Most of the work is done on quasi-static performance of these materials. However, these composites are highly non-linear therefore there is need for investigation of their viscelastic and viscoplastic behavior. This thesis is dealing with characterization and modeling of behavior of bio-based composite. The effect of temperature and relative humidity on mechanical behavior of natural fiber reinforced bio-based matrix composites subjected to tensile loading was investigated. Composites with different natural fibers (flax, viscose) and bio-based matrices (PLA, Lignin) were studied. Elastic modulus, the nonlinear tensile stress-strain curves and failure were analyzed showing that all materials are temperature sensitive. The nonlinearity was evaluated by studying modulus degradation as well as development of viscoelastic and viscoplastic strains as a function of applied load. The time-dependent phenomena were investigated in short term creep and strain recovery tests at several high stress levels. These tests demonstrated significantly higher viscoplastic strain in lignin than PLA based composites. Both, viscoelastic and viscoplastic strains are larger at higher relative humidity. The observed nonlinearity was attributed to microdamage, viscoelastic and viscoplastic response suggesting Schapery’s type of model for viscoelasticilty and Zapas’ model for viscoplasticity. PLA and lignin based flax fiber composites have been analyzed in order to obtain parameters needed for model. It was found that in PLA based composites after loading at stress levels below the maximum possible the elastic modulus is not affected and, therefore, damage does not need to be included in the material model. The modulus reduction in lignin based composites in tension starts before the maximum in stress-strain curve is reached and it can be as large as 50%. With increasing relative humidity these effects are slightly magnified. It appears that there is no region of linear viscoelasticity for PLA based composites. Nonlinear elasticity, viscoelasticity and viscoplasticity are equally responsible for observed nonlinearity in tensile tests.
Godkänd; 2012; 20120416 (livroz); LICENTIATSEMINARIUM Ämnesområde: Polymera konstruktionsmaterial/Polymeric Composite Materials Examinator: Professor Roberts Joffe, Institutionen för teknikvetenskap och matematik, Luleå tekniska universitet Diskutant: Professor Markus Stommel, Universität des Saarlandes, Saarbrücken, Deutschland Tid: Tisdag den 22 maj 2012 kl 09.00 Plats: E231, Luleå tekniska universitet
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Booth, Eric Jason. "Progress and Challenges in Non-Linear Constitutive Modeling for Composite Material." Thesis, Montana State University, 2007. http://etd.lib.montana.edu/etd/2007/booth/BoothE0507.pdf.

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In this paper is outlined a technique for determining the non-linear constitutive properties of an orthrotropic laminated material such as a fiber reinforced composite. The Characterization of Composites is difficult because of the anisotropic stiffness properties of the material and also because of the complex manner in which they accumulate internal damage and eventually fail. Presented here are techniques for determining the mechanical properties of a material by solving what is known as the Inverse Problem. In such a problem, the response of a material system to an external stimulus is measured, then, this information is used to divine the corresponding material properties of that system. Progress in solving the Inverse Problem for Non-Linear Material Properties is presented as well as challenges that remain.
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Swensen, Ingrid. "Modeling and Non-linear Control of Gel Breaking in Drilling Operations." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for teknisk kybernetikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-25754.

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As the petrolium operators are drilling deeper and more complicated well paths, extreme downhole presure variations during drilling operations may cause damage to equipment. This may in addition result in production restrictions and increased cost. Therefore, the main purpose of this project was to develop a non-linear control structure to stabilize the downhole pressure, such that the pressure never exceeds the $\pm$ 2 bar limit when the mud pump was started. Mud pump startup is one of the main reasons for increased pressure. Mud at rest will, after some time, start the process of gelling. When the system is set to motion again, a considerable amount of force is therefore required to break the gel. In order to achieve pressure stabilization, a controller was implemented on the mud pump. This controller included two proportional controllers, one monitored the downhole pressure, while the other used the calculated structure of the mud as an input parameter, meaning that the gelling was taken into account. The effects from a controlled back pressure pump were also assessed. Incorporating automatic contol on the mud pump resulted in a downhole pressure that remained within the $\pm$ 2 bar boundaries. The pump was able to provide the desired flow rate in a reasonable amount of time. This is because the pump decreased the flow only when the downhole pressure increased at an excessive rate, giving the gelled mud more time to brake.Throughout the project, the back pressure pump was implemented as a constant flow rate. A test scenario where the back pressure pump was a subject of automatic control showed a slight improvement with regards to downhole pressure stabilization, as well as a more stable choke valve opening. Automatic back pressure control might result in improved startup and shutdown timing. With two controllers, one on the choke valve and one on the mud pump, a more stable mud break-down process can be achieved. This can lead to several economic advantages such as time saved when returning to reference flow rate, less wear on the choke valve, as well as fewer operators needed to handle the mud pump.
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Segatta, Francesco <1989&gt. "Modeling Photoinduced Events and Non-linear Spectroscopy in Complex Multichromophoric Systems." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amsdottorato.unibo.it/8469/1/Segatta_Francesco_tesi.pdf.

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What are the processes activated by light when it impinges on a sample of light- sensitive molecules in mutual interaction? How can this information be accessed from both the experimental and theoretical sides? This work is aimed at answering at these specific questions. In order to accomplish this goal, we use state-of-the-art computational methods and develop novel theoretical approaches for investigating static and dynamical properties of networks of interacting molecular organic chromophores, and compute their spectroscopy. We focus in particular on the simulation of non-linear time-resolved techniques, such as the pump-probe and the two dimensional electronic spectroscopy. These approaches have been proven to be fundamental tools to track the system photoinduced dynamics with extremely high time and spectral resolution and disentangle contributions from different system components. We conclude that the synergic combination of “independent” results from accurate quantum chemical calculations and detailed spectroscopic experiments is the way to reach a reliable map of the activated energy transfer processes and to gain new physical insights into the system properties.
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Books on the topic "Non-Linear modeling"

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Schleer-van Gellecom, Frauke, ed. Advances in Non-linear Economic Modeling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-42039-9.

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Holambe, Raghunath S. Advances in Non-Linear Modeling for Speech Processing. Boston, MA: Springer US, 2012.

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Holambe, Raghunath S., and Mangesh S. Deshpande. Advances in Non-Linear Modeling for Speech Processing. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-1505-3.

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Taleghani, Barmac K. Non-linear finite element modeling of Thunder piezoelectric actuators. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 1999.

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Sanchez-Fung, Jose R. Non-linear modeling of daily exchange rate returns, volatility, and 'news' in a small developing economy. Kingston upon Thames: Kingston University, Faculty of Arts and Social Sciences, 1999.

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Berezin, I︠U︡ A. Modelling non-linear wave processes. Utrecht, The Netherlands: VNU Science Press, 1987.

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Chen, S. Modelling and analysis of non-linear time series. Sheffield: University of Sheffield, Dept. of Control Engineering, 1989.

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Ross, C. T. F., 1935-, ed. Incremental finite element modelling in non-linear solid mechanics. Chichester: Ellis Horwood, 1988.

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Kleiber, Michał. Incremental finite element modelling in non-linear solid mechanics. Chichester, West Sussex, England: E. Horwood, 1989.

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Chen, S. Neural networks for non-linear dynamic system modelling and identification. Sheffield: University of Sheffield, Dept. of Automatic Control and Systems Engineering, 1991.

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Book chapters on the topic "Non-Linear modeling"

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Cleophas, Ton J., and Aeilko H. Zwinderman. "Non-linear Modeling." In Machine Learning in Medicine, 127–43. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-5824-7_11.

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Robinson, Andrew P., and Jeff D. Hamann. "Linear and Non-linear Modeling." In Forest Analytics with R, 175–218. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-7762-5_6.

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Čı́žek, Pavel. "(Non) Linear Regression Modeling." In Handbook of Computational Statistics, 645–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21551-3_23.

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Inakage, Masa. "Non-Linear Perspective Projections." In Modeling in Computer Graphics, 203–15. Tokyo: Springer Japan, 1991. http://dx.doi.org/10.1007/978-4-431-68147-2_13.

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Sergent, Philippe. "Non-Linear Waves With REFLUX 3D." In Modeling Software, 1–28. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118557891.ch1.

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Da Costa Lewis, Nigel. "Non-linear and Limited Dependent Regression." In Energy Risk Modeling, 187–95. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230523784_11.

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Tatarintsev, Andrei V. "Mathematical Models in Non-Linear Systems Thermodynamics." In Mathematical Modeling, 25–36. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3397-6_3.

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Asli, Kaveh Hariri, Soltan Ali Ogli Aliyev, and Hossein Hariri Asli. "Non-Linear Modeling for Non-Revenue Water." In Handbook of Research for Fluid and Solid Mechanics, 135–57. Toronto : Apple Academic Press, 2018.: Apple Academic Press, 2017. http://dx.doi.org/10.1201/9781315365701-7.

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Lexcellent, Christian. "Thermodynamics Framework for Modeling Solid Materials." In Linear and Non-linear Mechanical Behavior of Solid Materials, 9–38. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55609-3_2.

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Mittnik, Stefan, and Willi Semmler. "Estimating a Banking-Macro Model Using a Multi-regime VAR." In Advances in Non-linear Economic Modeling, 3–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-42039-9_1.

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Conference papers on the topic "Non-Linear modeling"

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Alia, Ahlem, and Mhamed Souli. "BEM Modeling of Non Linear Systems Noise." In ASME 2005 Pressure Vessels and Piping Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/pvp2005-71653.

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A noticeable part of acoustic environment is made of sounds radiated by vibrating structures. Most of these sounds are considered as undesirable noise. Especially, those radiated from complex processes involving several non linear effects. In the present work, the transient response of mechanical system is computed first by using LSDYNA, an explicit finite element code for general fluid, structure and fluid-structure interaction problems. By applying the FFT, it’s transformed into frequency response which allows to use BEM for computing the noise radiated at any point into space. Results are checked for simple acoustic and classical vibroacoustic problems before applying it for a non linear case. The numerical examples show the efficiency of the present method.
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Rattay, B., M. Hubner, J. P. Teyssier, and R. Quere. "Accurate HEMT Modeling for Non-Linear Simulation." In 1992 22nd European Microwave Conference. IEEE, 1992. http://dx.doi.org/10.1109/euma.1992.335867.

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Romano, Richard. "Non-Linear Optimal Tilt Coordination for Washout Algorithms." In AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.2003-5681.

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Park, Dae-Geun, Jin-Hak Jang, Sung-An Kim, and Yun-Hyun Cho. "Modeling of Non-Linear Analysis of Dynamic Characteristics of Linear Compressor." In 2012 Sixth International Conference on Electromagnetic Field Problems and Applications (ICEF). IEEE, 2012. http://dx.doi.org/10.1109/icef.2012.6310292.

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Bienstman, P., P. Vandersteegen, B. Maes, and R. Baets. "Modeling methods for high-index contrast linear and non-linear nanophotonics." In 2006 International Conference on Numerical Simulation of Semiconductor Optoelectronic Devices. IEEE, 2006. http://dx.doi.org/10.1109/nusod.2006.306763.

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Janith, G. I., D. A. S. Amarasinghe, D. Attygalle, V. S. C. Weragoda, and A. M. P. B. Samarasekara. "Linear and Non Linear Creep Modeling of Talc Filled PEEK Composite." In 2021 Moratuwa Engineering Research Conference (MERCon). IEEE, 2021. http://dx.doi.org/10.1109/mercon52712.2021.9525773.

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Dunleavy, Lawrence, Thomas Weller, Jiang Liu, Hugo Morales, and Scott Skidmore. "Advances in linear and non-linear modeling for improved microwave design." In 2012 IEEE 13th Annual Wireless and Microwave Technology Conference: An IEEE Industry/ Government/Education Conf. (WAMICON). IEEE, 2012. http://dx.doi.org/10.1109/wamicon.2012.6208478.

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Passaquay, D., P. Bortolet, S. Boverie, and A. Titli. "Iterative fuzzy modeling of non-linear functions, application for the control of non-linear system." In 1999 European Control Conference (ECC). IEEE, 1999. http://dx.doi.org/10.23919/ecc.1999.7100058.

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Singh, Kunwar Bahadur, and Neeta Awasthy. "Modeling of non-linear crosstalk in optical fiber." In 2009 International Conference on Emerging Trends in Electronic and Photonic Devices & Systems (ELECTRO-2009). IEEE, 2009. http://dx.doi.org/10.1109/electro.2009.5441148.

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Yazdanpanahi, H., M. A. Hejazi, and G. B. Gharehpetian. "Non-linear modeling of transformer using hammerstein method." In 2008 IEEE 2nd International Power and Energy Conference (PECon). IEEE, 2008. http://dx.doi.org/10.1109/pecon.2008.4762634.

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Reports on the topic "Non-Linear modeling"

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Plant, William J. Analysis and Modeling of Radar Surface Signatures of Non-Linear Internal Waves. Fort Belvoir, VA: Defense Technical Information Center, January 2009. http://dx.doi.org/10.21236/ada526748.

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Scotti, Alberto D., Michael Minion, and Sorin Mitran. Holistic Approach to Modeling Non-Linear Internal Waves with a Three-Dimensional Nonhydrostatic Model. Fort Belvoir, VA: Defense Technical Information Center, September 2007. http://dx.doi.org/10.21236/ada573175.

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Alonso-Robisco, Andrés, José Manuel Carbó, and José Manuel Carbó. Machine Learning methods in climate finance: a systematic review. Madrid: Banco de España, February 2023. http://dx.doi.org/10.53479/29594.

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Preventing the materialization of climate change is one of the main challenges of our time. The involvement of the financial sector is a fundamental pillar in this task, which has led to the emergence of a new field in the literature, climate finance. In turn, the use of Machine Learning (ML) as a tool to analyze climate finance is on the rise, due to the need to use big data to collect new climate-related information and model complex non-linear relationships. Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic literature to assess how ML is enabling climate finance to scale up. The main contribution of this paper is to provide a structure of application domains in a highly fragmented research field, aiming to spur further innovative work from ML experts. To pursue this objective, first we perform a systematic search of three scientific databases to assemble a corpus of relevant studies. Using topic modeling (Latent Dirichlet Allocation) we uncover representative thematic clusters. This allows us to statistically identify seven granular areas where ML is playing a significant role in climate finance literature: natural hazards, biodiversity, agricultural risk, carbon markets, energy economics, ESG factors & investing, and climate data. Second, we perform an analysis highlighting publication trends; and thirdly, we show a breakdown of ML methods applied by research area.
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Taucher, Jan, and Markus Schartau. Report on parameterizing seasonal response patterns in primary- and net community production to ocean alkalinization. OceanNETs, November 2021. http://dx.doi.org/10.3289/oceannets_d5.2.

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We applied a 1-D plankton ecosystem-biogeochemical model to assess the impacts of ocean alkalinity enhancement (OAE) on seasonal changes in biogeochemistry and plankton dynamics. Depending on deployment scenarios, OAE should theoretically have variable effects on pH and seawater pCO2, which might in turn affect (a) plankton growth conditions and (b) the efficiency of carbon dioxide removal (CDR) via OAE. Thus, a major focus of our work is how different magnitudes and temporal frequencies of OAE might affect seasonal response patterns of net primary productivity (NPP), ecosystem functioning and biogeochemical cycling. With our study we aimed at identifying a parameterization of how magnitude and frequency of OAE affect net growth rates, so that these effects could be employed for Earth System Modell applications. So far we learned that a meaningful response parameterization has to resolve positive and negative anomalies that covary with temporal shifts. As to the intricacy of the response patterns, the derivation of such parameterization is work in progress. However, our study readily provides valuable insights to how OAE can alter plankton dynamics and biogeochemistry. Our modelling study first focuses at a local site where time series data are available (European Station for Time series in the Ocean Canary Islands ESTOC), including measurements of pH, concentrations of total alkalinity, dissolved inorganic carbon (DIC), chlorophyll-a and dissolved inorganic nitrogen (DIN). These observational data were made available by Andres Cianca (personal communication, PLOCAN, Spain), Melchor Gonzalez and Magdalena Santana Casiano (personal communication, Universidad de Las Palmas de Gran Canaria). The choice of this location was underpinned by the fact that the first OAE mesocosm experiment was conducted on the Canary Island Gran Canaria, which will facilitate synthesizing our modelling approach with experimental findings. For our simulations at the ESTOC site in the Subtropical North Atlantic we found distinct, non-linear responses of NPP to different temporal modes of alkalinity deployment. In particular, phytoplankton bloom patterns displayed pronounced temporal phase shifts and changes in their amplitude. Notably, our simulations suggest that OAE can have a slightly stimulating effect on NPP, which is however variable, depending on the magnitude of OAE and the temporal mode of alkalinity addition. Furthermore, we find that increasing alkalinity perturbations can lead to a shift in phytoplankton community composition (towards coccolithophores), which even persists after OAE has stopped. In terms of CDR, we found that a decrease in efficiency with increasing magnitude of alkalinity addition, as well as substantial differences related to the timing of addition. Altogether, our results suggest that annual OAE during the right season (i.e. physical and biological conditions), could be a reasonable compromise in terms of logistical feasibility, efficiency of CDR and side-effects on marine biota. With respect to transferability to global models, the complex, non-linear responses of biological processes to OAE identified in our simulations do not allow for simple parameterizations that can easily adapted. Dedicated future work is required to transfer the observed responses at small spatiotemporal scales to the coarser resolution of global models.
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Perdigão, Rui A. P. New Horizons of Predictability in Complex Dynamical Systems: From Fundamental Physics to Climate and Society. Meteoceanics, October 2021. http://dx.doi.org/10.46337/211021.

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Discerning the dynamics of complex systems in a mathematically rigorous and physically consistent manner is as fascinating as intimidating of a challenge, stirring deeply and intrinsically with the most fundamental Physics, while at the same time percolating through the deepest meanders of quotidian life. The socio-natural coevolution in climate dynamics is an example of that, exhibiting a striking articulation between governing principles and free will, in a stochastic-dynamic resonance that goes way beyond a reductionist dichotomy between cosmos and chaos. Subjacent to the conceptual and operational interdisciplinarity of that challenge, lies the simple formal elegance of a lingua franca for communication with Nature. This emerges from the innermost mathematical core of the Physics of Coevolutionary Complex Systems, articulating the wealth of insights and flavours from frontier natural, social and technical sciences in a coherent, integrated manner. Communicating thus with Nature, we equip ourselves with formal tools to better appreciate and discern complexity, by deciphering a synergistic codex underlying its emergence and dynamics. Thereby opening new pathways to see the “invisible” and predict the “unpredictable” – including relative to emergent non-recurrent phenomena such as irreversible transformations and extreme geophysical events in a changing climate. Frontier advances will be shared pertaining a dynamic that translates not only the formal, aesthetical and functional beauty of the Physics of Coevolutionary Complex Systems, but also enables and capacitates the analysis, modelling and decision support in crucial matters for the environment and society. By taking our emerging Physics in an optic of operational empowerment, some of our pioneering advances will be addressed such as the intelligence system Earth System Dynamic Intelligence and the Meteoceanics QITES Constellation, at the interface between frontier non-linear dynamics and emerging quantum technologies, to take the pulse of our planet, including in the detection and early warning of extreme geophysical events from Space.
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Oliynyk, Kateryna, and Matteo Ciantia. Application of a finite deformation multiplicative plasticity model with non-local hardening to the simulation of CPTu tests in a structured soil. University of Dundee, December 2021. http://dx.doi.org/10.20933/100001230.

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In this paper an isotropic hardening elastoplastic constitutive model for structured soils is applied to the simulation of a standard CPTu test in a saturated soft structured clay. To allow for the extreme deformations experienced by the soil during the penetration process, the model is formulated in a fully geometric non-linear setting, based on: i) the multiplicative decomposition of the deformation gradient into an elastic and a plastic part; and, ii) on the existence of a free energy function to define the elastic behaviour of the soil. The model is equipped with two bonding-related internal variables which provide a macroscopic description of the effects of clay structure. Suitable hardening laws are employed to describe the structure degradation associated to plastic deformations. The strain-softening associated to bond degradation usually leads to strain localization and consequent formation of shear bands, whose thickness is dependent on the characteristics of the microstructure (e.g, the average grain size). Standard local constitutive models are incapable of correctly capturing this phenomenon due to the lack of an internal length scale. To overcome this limitation, the model is framed using a non-local approach by adopting volume averaged values for the internal state variables. The size of the neighbourhood over which the averaging is performed (characteristic length) is a material constant related to the microstructure which controls the shear band thickness. This extension of the model has proven effective in regularizing the pathological mesh dependence of classical finite element solutions in the post-localization regime. The results of numerical simulations, conducted for different soil permeabilities and bond strengths, show that the model captures the development of plastic deformations induced by the advancement of the cone tip; the destructuration of the clay associated with such plastic deformations; the space and time evolution of pore water pressure as the cone tip advances. The possibility of modelling the CPTu tests in a rational and computationally efficient way opens a promising new perspective for their interpretation in geotechnical site investigations.
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An Input Linearized Powertrain Model for the Optimal Control of Hybrid Electric Vehicles. SAE International, March 2022. http://dx.doi.org/10.4271/2022-01-0741.

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Models of hybrid powertrains are used to establish the best combination of conventional engine power and electric motor power for the current driving situation. The model is characteristic for having two control inputs and one output constraint: the total torque should be equal to the torque requested by the driver. To eliminate the constraint, several alternative formulations are used, considering engine power or motor power or even the ratio between them as a single control input. From this input and the constraint, both power levels can be deduced. There are different popular choices for this one control input. This paper presents a novel model based on an input linearizing transformation. It is demonstrably superior to alternative model forms, in that the core dynamics of the model (battery state of energy) are linear, and the non-linearities of the model are pushed into the inputs and outputs in a Wiener/Hammerstein form. The output non-linearities can be approximated using a quadratic model, which creates a problem in the linear-quadratic framework. This facilitates the direct application of linear control approaches such as LQR control, predictive control, or Model Predictive Control (MPC). The paper demonstrates the approach using the ELectrified Vehicle library for sImulation and Optimization (ELVIO). It is an open-source MATLAB/Simulink library designed for the quick and easy simulation and optimization of different powertrain and drivetrain architectures. It follows a modelling methodology that combines backward-facing and forward-facing signal path, which means that no driver model is required. The results show that the approximated solution provides a performance that is very close to the solution of the original problem except for extreme parts of the operating range (in which case the solution tends to be driven by constraints anyway).
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CHARACTERISATION OF THE BEHAVIOUR OF BEAM-TO-COLUMN STEEL JOINTS UP TO FAILURE. The Hong Kong Institute of Steel Construction, September 2022. http://dx.doi.org/10.18057/ijasc.2022.18.3.5.

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The design of steel joints is currently dealt with in Eurocode 3 through the well-known “component method”. In particular, Part 1-8 of this standard provides guidance on how to apply the method to a wide range of joint configurations allowing to assess the latter’s initial rotational stiffness and resistance. Nonetheless, whenever a global structural plastic analysis is contemplated, provisions of Eurocode 3 are insufficient since no clear guidance on how to determine the ultimate resistance and the ultimate rotation capacity of joints is provided. In this paper, the full-range behaviour of beam-to-column steel joints is investigated using experimental, analytical, and numerical methods. A new analytical approach based on the component method is proposed and validated against five physical experiments. Through additional analytical expressions for the characterisation of basic components of steel joints, the proposed approach extends the applicability of the component method such that strain-hardening and ductility of components are accounted for. The results show a good agreement between the analytical prediction and the experimental results and also highlight specific limitations of the classical component method. Three-dimensional finite element (FE) models are also employed to simulate the behaviour of the tested beam-to-column joints. The results prove the accuracy of numerical models to simulate the non-linear response of steel joints emphasizing, however, the importance of proper modelling assumptions.
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