Bibliografías temáticas / Multi-field approach

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Literatura académica sobre el tema "Multi-field approach"

Autor: Grafiati
Publicado: 25 de mayo de 2024
Última modificación: 7 de julio de 2024

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Tesis sobre el tema "Multi-field approach"

1

Sustar, Tomaz. "A solution approach to non-linear multi-field problems." Thesis, Swansea University, 2002. https://cronfa.swan.ac.uk/Record/cronfa42573.

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In this work a solution approach for non-linear multi-filed problems is presented. The approach is based on co-operative usage of several advanced techniques inside a single environment instead of combining several different systems. The objective of this work is to demonstrate the applicability of advanced computational techniques to complex numerical problems and to present advantages of a co-operative solution environment in the development of finite elements. The solution environment, implemented in Mathematica, consists of a symbolic code generator - AceGen, a package of prearranged modules for the automatic creation of the interfaces between the generated code and specific finite element environment - Computational Templates and a model finite element environment called Finite Element Driver. Within the scope of this work the ANSI C version of Finite Element Driver - CDriver was developed and used for numerical evaluation throughout the work. The CDriver is fully integrated with Mathematica and it provides high numerical efficiency to the environment. The solution approach is demonstrated on magneto-thermo-mechanical problem of inductive heat treatment. First the high abstract formulation level, which is required for efficient symbolic description, was introduced. Following the general formulation the models of individual magnetic, thermal and displacement fields were derived. After the individual fields model were verified the magneto-thermal and magneto- thermo-mechanical problems were formulated and derived. Both non-linear multi- filed models were verified using analytical solutions and numerical convergence tests. Different multi-filed solution strategies were applied to numerical examples and their performance issues were studied using the magneto-thermo-mechanical model. Finally the large scale numerical example of inductive heat treatment was solved.
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2

Dai, Zhenwen, and 戴振文. "A Markov random field approach for multi-view normal integration." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2009. http://hub.hku.hk/bib/B4308588X.

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Dai, Zhenwen. "A Markov random field approach for multi-view normal integration." Click to view the E-thesis via HKUTO, 2009. http://sunzi.lib.hku.hk/hkuto/record/B4308588X.

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4

Davis, Matthew Harris. "A Bond Valence-Based Force Field: A Multi-Body Approach." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/3796.

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The typical form for a molecular mechanics force field consists of a foundation of pair-wise terms to describe bonded and non-bonded atomic interactions, with multi-body correction terms to deal with the limitations of pair-wise terms. I present here the first attempts of a molecular mechanics model that is founded on multi-body terms, which are based on the Bond Valence Model (Brown, 2002) and recent developments in the Vectorial Bond Valence Model (Bickmore et al., 2013a; Harvey et al., 2006). I calibrated these models on pressure vs. energy curves for a set of SiO2 polymorphs. The average deviation for the best-fit iteration, with only six adjustable parameters was ±1.98 kcal/mol.
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5

Hagelbäck, Johan. "A Multi-Agent Potential Field based approach for Real-Time Strategy Game bots." Licentiate thesis, Blekinge Tekniska Högskola, Avdelningen för programvarusystem, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00428.

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Computer games in general and Real-Time Strategy (RTS) games in particular provide a rich challenge for both human- and computer controlled players, often denoted as bots. The player or bot controls a large number of units that have to navigate in partially unknown dynamic worlds to pursue a goal. Navigation in such worlds can be complex and require much computational resources. Typically it is solved by using some sort of path planning algorithm, and a lot of research has been conducted to improve the performance of such algorithms in dynamic worlds. The main goal of this thesis is to investigate an alternative approach for RTS bots based on Artificial Potential Fields, an area originating from robotics. In robotics the technique has successfully been used for navigation in dynamic environments, and we show that it is possible to use Artificial Potential Fields for navigation in an RTS game setting without any need of path planning. In the first three papers we define and demonstrate a methodology for creating multi-agent potential field based bots for an RTS game scenario where two tank armies battle each other. The fourth paper addresses incomplete information about the game world, referred to as the fog of war, and show how Potential Field based bots can handle such environments. The final paper shows how a Potential Field based bot can be evolved to handle a more complex full RTS scenario. It addresses resource gathering, construction of bases, technological development and construction of an army consisting of different types of units. We show that Artificial Potential Fields is a viable option for several RTS game scenarios and that the performance, both in terms of being able to win a game and computational resources used, can match and even surpass those of traditional approaches based on path planning.
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6

Asseburg, Christian. "A Bayesian approach to modelling field data on multi-species predator prey-interactions." Thesis, St Andrews, 2006. https://research-repository.st-andrews.ac.uk/handle/10023/174.

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Hagelbäck, Johan. "A multi-agent potential field based approach for real-time strategy game bots /." Karlskrona : Department of Systems and Software Engineering, School of Engineering, Blekinge Institute of Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-00428.

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RAMASWAMY, EASWAR SINGANELLORE. "AN APPROACH TOWARDS HDL MODEL GENERATION FOR THE MULTI-TECHNOLOGY FIELD PROGRAMMABLE GATE ARRAY." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1139339547.

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9

Engels, Philipp Simon [Verfasser], Alexander [Gutachter] Hartmaier, and Ingo [Gutachter] Steinbach. "A multi-phase-field simulation approach incorporating finite, elasto-plastic deformations / Philipp Simon Engels. Gutachter: Alexander Hartmaier ; Ingo Steinbach." Bochum : Ruhr-Universität Bochum, 2016. http://d-nb.info/1102525499/34.

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Uusitalo, Tim. "A first approach in applying Artificial Potential Fields in Car Games." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2480.

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In car racing simulation games, finishing first is the main goal. To reach that goal, it is required to go around a racing track, competing against other cars aiming for the same goal. Implementing a bot for doing so may have its difficulties, although using a technique called multi-agent systems combined with artificial potential field, let- ting the agents take care of subtasks like keeping the car on the track, minimize how much the car turns in a curvature and basics in navigation around the track, has showed that artificial potential fields very well fit the problem of driving a car in simulated car racing in a competitive way.<br>Mobiltelefon: 0707422666
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