Literatura académica sobre el tema "Structured block mesh"
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Artículos de revistas sobre el tema "Structured block mesh"
Zhou, Yuxiang, Xiang Cai, Qingfeng Zhao, Zhoufang Xiao y Gang Xu. "Quadrilateral Mesh Generation Method Based on Convolutional Neural Network". Information 14, n.º 5 (4 de mayo de 2023): 273. http://dx.doi.org/10.3390/info14050273.
Texto completoSchornbaum, Florian y Ulrich Rüde. "Extreme-Scale Block-Structured Adaptive Mesh Refinement". SIAM Journal on Scientific Computing 40, n.º 3 (enero de 2018): C358—C387. http://dx.doi.org/10.1137/17m1128411.
Texto completoBandopadhyay, Somdeb y Hsien Shang. "SADHANA: A Doubly Linked List-based Multidimensional Adaptive Mesh Refinement Framework for Solving Hyperbolic Conservation Laws with Application to Astrophysical Hydrodynamics and Magnetohydrodynamics". Astrophysical Journal Supplement Series 263, n.º 2 (1 de diciembre de 2022): 32. http://dx.doi.org/10.3847/1538-4365/ac9279.
Texto completoDing, Li, Zhiliang Lu y Tongqing Guo. "An Efficient Dynamic Mesh Generation Method for Complex Multi-Block Structured Grid". Advances in Applied Mathematics and Mechanics 6, n.º 01 (febrero de 2014): 120–34. http://dx.doi.org/10.4208/aamm.2013.m199.
Texto completoZiegler, Udo. "Block-Structured Adaptive Mesh Refinement on Curvilinear-Orthogonal Grids". SIAM Journal on Scientific Computing 34, n.º 3 (enero de 2012): C102—C121. http://dx.doi.org/10.1137/110843940.
Texto completoDeiterding, Ralf. "Block-structured Adaptive Mesh Refinement - Theory, Implementation and Application". ESAIM: Proceedings 34 (diciembre de 2011): 97–150. http://dx.doi.org/10.1051/proc/201134002.
Texto completoZhang, Weiqun, Ann Almgren, Vince Beckner, John Bell, Johannes Blaschke, Cy Chan, Marcus Day et al. "AMReX: a framework for block-structured adaptive mesh refinement". Journal of Open Source Software 4, n.º 37 (12 de mayo de 2019): 1370. http://dx.doi.org/10.21105/joss.01370.
Texto completoHittinger, J. A. F. y J. W. Banks. "Block-structured adaptive mesh refinement algorithms for Vlasov simulation". Journal of Computational Physics 241 (mayo de 2013): 118–40. http://dx.doi.org/10.1016/j.jcp.2013.01.030.
Texto completoMisaka, Takashi, Daisuke Sasaki y Shigeru Obayashi. "Adaptive mesh refinement and load balancing based on multi-level block-structured Cartesian mesh". International Journal of Computational Fluid Dynamics 31, n.º 10 (12 de noviembre de 2017): 476–87. http://dx.doi.org/10.1080/10618562.2017.1390085.
Texto completoChen, Hao, Zhiliang Lu y Tongqing Guo. "A Hybrid Dynamic Mesh Generation Method for Multi-Block Structured Grid". Advances in Applied Mathematics and Mechanics 9, n.º 4 (18 de enero de 2017): 887–903. http://dx.doi.org/10.4208/aamm.2016.m1423.
Texto completoTesis sobre el tema "Structured block mesh"
Ferreira, Vitor Maciel Vilela. "A hybrid les / lagrangian fdf method on adaptive, block-structured mesh". Universidade Federal de Uberlândia, 2015. https://repositorio.ufu.br/handle/123456789/14982.
Texto completoEsta dissertação é parte de um amplo projeto de pesquisa, que visa ao desenvolvimento de uma plataforma computacional de dinâmica dos fluidos (CFD) capaz de simular a física de escoamentos que envolvem mistura de várias espécies químicas, com reação e combustão, utilizando um método hibrido Simulação de Grandes Escalas (LES) / Função Densidade Filtrada (FDF) Lagrangiana em malha adaptativa, bloco-estruturada. Uma vez que escoamentos com mistura proporcionam fenômenos que podem ser correlacionados com a combustão em escoamentos turbulentos, uma visão global da fenomenologia de mistura foi apresentada e escoamentos fechados, laminar e turbulento, que envolvem mistura de duas espécies químicas inicialmente segregadas foram simulados utilizando o código de desenvolvimento interno AMR3D e o código recentemente desenvolvido FDF Lagrangiana de composição. A primeira etapa deste trabalho consistiu na criação de um modelo computacional de partículas estocásticas em ambiente de processamento distribuído. Isto foi alcançado com a construção de um mapa Lagrangiano paralelo, que pode gerenciar diferentes tipos de elementos lagrangianos, incluindo partículas estocásticas, particulados, sensores e nós computacionais intrínsecos dos métodos Fronteira Imersa e Acompanhamento de Interface. O mapa conecta informações Lagrangianas com a plataforma Euleriana do código AMR3D, no qual equações de trans- porte são resolvidas. O método FDF Lagrangiana de composição realiza cálculos algébricos sobre partículas estocásticas e provê campos de composição estatisticamente equivalentes aos obtidos quando se utiliza o método de Diferenças Finitas para solução de equações diferenciais parciais; a técnica de Monte Carlo foi utilizada para resolver um sistema derivado de equações diferenciais estocásticas (SDE). Os resultados concordaram com os benchmarks, que são simulações baseadas em plataforma de Diferenças Finitas para solução de uma equação de transporte de composição filtrada.
This master thesis is part of a wide research project, which aims at developing a com- putational fluid dynamics (CFD) framework able to simulate the physics of multiple-species mixing flows, with chemical reaction and combustion, using a hybrid Large Eddy Simulation (LES) / Lagrangian Filtered Density Function (FDF) method on adaptive, block-structured mesh. Since mixing flows provide phenomena that may be correlated with combustion in turbulent flows, we expose an overview of mixing phenomenology and simulated enclosed, ini- tially segregated two-species mixing flows, at laminar and turbulent states, using the in-house built AMR3D and the developed Lagrangian composition FDF codes. The first step towards this objective consisted of building a computational model of notional particles transport on distributed processing environment. We achieved it constructing a parallel Lagrangian map, which can hold different types of Lagrangian elements, including notional particles, particu- lates, sensors and computational nodes intrinsic to Immersed Boundary and Front Tracking methods. The map connects Lagrangian information with the Eulerian framework of the AMR3D code, in which transport equations are solved. The Lagrangian composition FDF method performs algebraic calculations over an ensemble of notional particles and provides composition fields statistically equivalent to those obtained by Finite Differences numerical solution of partially differential equations (PDE); we applied the Monte Carlo technique to solve a derived system of stochastic differential equations (SDE). The results agreed with the benchmarks, which are simulations based on Finite Differences framework to solve a filtered composition transport equation.
Mestre em Engenharia Mecânica
Schornbaum, Florian [Verfasser], Ulrich [Akademischer Betreuer] Rüde, Ulrich [Gutachter] Rüde, Martin [Gutachter] Berzins y Gerhard [Gutachter] Wellein. "Block-Structured Adaptive Mesh Refinement for Simulations on Extreme-Scale Supercomputers / Florian Schornbaum ; Gutachter: Ulrich Rüde, Martin Berzins, Gerhard Wellein ; Betreuer: Ulrich Rüde". Erlangen : Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), 2018. http://d-nb.info/116847437X/34.
Texto completoDotse, Kokou Michaelis. "Création de maillages quadrilatéraux bloc structurés à partir de champ de croix prescrit et respectant les caractéristiques physiques d'une scène de calcul". Electronic Thesis or Diss., Toulouse, ISAE, 2024. http://www.theses.fr/2024ESAE0027.
Texto completoThe objective of this thesis is to provide new solutions to improve performance in the numerical solution of partial differential equations by studying a method for generating quadrilateral meshes based on cross-field techniques.Our approach relies on aligning a given cross field with the boundary of the computational domain, followed by partitioning the domain into four-sided regions which are then meshed into quadrilaterals. This allows us to generate a structured block mesh while preserving the positions of the singularities of the initial cross field. To achieve this, we conduct a theoretical study of cross fields to identify the conditions under which a given cross field effectively partitions and meshes the domain on which it is defined.This method is initially presented for simply connected domains and then extended to non-simply connected domains. It allows us to handle domains consisting of multiple materials as well as boundary singular points, which in practice delineate portions of the domain boundary to account for mixed boundary conditions in numerical simulations. Finally, we discretize the method on triangular meshes and propose a generalization to curved surfaces in space
Palazzi, Nieves María José. "Structural and dynamical interdependencies in complex networks at meso- and macroscale: nestedness, modularity, and in-block nestedness". Doctoral thesis, Universitat Oberta de Catalunya, 2020. http://hdl.handle.net/10803/671886.
Texto completoMolts sistemes, com el cervell o internet, són considerats complexos: sistemes formats per una gran quantitat d'elements que interactuen entre si, que exhibeixen un comportament col·lectiu que no es pot inferir des de les propietats dels seus elements aïllats. Aquests sistemes s'estudien mitjançant xarxes, en les quals els elements constituents són els nodes, i les interaccions entre ells, els enllaços. La recerca en xarxes s'enfoca principalment a explorar com el comportament dinàmic d'una xarxa està definit per la naturalesa i la topologia de les interaccions entre els seus elements. Aquesta anàlisi sovint es fa en tres escales: la microescala, que estudia les propietats dels nodes individuals; la macroescala, que explora les propietats de tota la xarxa, i la mesoescala, basada en les propietats de grups de nodes. No obstant, la majoria dels estudis se centren només en una escala, tot i la creixent evidència que suggereix que les xarxes sovint exhibeixen estructura a múltiples escales. En aquesta tesi estudiarem les propietats estructurals de les xarxes a escala múltiple. Analitzarem les propietats estructurals dels patrons in-block nested i la seva relació amb els patrons niats i modulars. Finalment, introduirem un model teòric per explorar alguns dels mecanismes que permeten l'emergència d'aquests patrons.
Muchos sistemas, como el cerebro o internet, son considerados complejos: sistemas formados por una gran cantidad de elementos que interactúan entre sí, que exhiben un comportamiento colectivo que no puede inferirse desde las propiedades de sus elementos aislados. Estos sistemas se estudian mediante redes, en las que los elementos constituyentes son los nodos, y las interacciones entre ellos, los enlaces. La investigación en redes se enfoca principalmente a explorar cómo el comportamiento dinámico de una red está definido por la naturaleza y la topología de las interacciones entre sus elementos. Este análisis a menudo se hace en tres escalas: la microescala, que estudia las propiedades de los nodos individuales; la macroescala, que explora las propiedades de toda la red, y la mesoescala, basada en las propiedades de grupos de nodos. No obstante, la mayoría de los estudios se centran solo en una escala, a pesar de la creciente evidencia que sugiere que las redes a menudo exhiben estructura a múltiples escalas. En esta tesis estudiaremos las propiedades estructurales de las redes a escala múltiple. Analizaremos las propiedades estructurales de los patrones in-block nested y su relación con los patrones anidados y modulares. Finalmente, introduciremos un modelo teórico para explorar algunos de los mecanismos que permiten la emergencia de estos patrones.
Tecnologías de la información y de redes
Ivan, Lucian. "Development of High-order CENO Finite-volume Schemes with Block-based Adaptive Mesh Refinement (AMR)". Thesis, 2011. http://hdl.handle.net/1807/29759.
Texto completoLibros sobre el tema "Structured block mesh"
Rocek, Thomas R. Navajo multi-household social units: Archaeology on Black Mesa, Arizona. Tucson: University of Arizona Press, 1995.
Buscar texto completoAndreoni, Antonio, Pamela Mondliwa, Simon Roberts y Fiona Tregenna, eds. Structural Transformation in South Africa. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780192894311.001.0001.
Texto completoGiles, Cynthia. Next Generation Compliance. Oxford University PressNew York, 2022. http://dx.doi.org/10.1093/oso/9780197656747.001.0001.
Texto completoCapítulos de libros sobre el tema "Structured block mesh"
Schönfeld, Thilo. "Local Mesh Enrichment for a Block Structured 3D Euler Solver". En Multiblock Grid Generation, 199–206. Wiesbaden: Vieweg+Teubner Verlag, 1993. http://dx.doi.org/10.1007/978-3-322-87881-6_21.
Texto completoLemke, Max, Kristian Witsch y Daniel Quinlan. "An Object-Oriented Approach for Parallel Self Adaptive Mesh Refinement on Block Structured Grids". En Notes on Numerical Fluid Mechanics (NNFM), 199–220. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-663-14246-1_14.
Texto completoLi, Baojiu, Holger Schulz, Tobias Weinzierl y Han Zhang. "Dynamic Task Fusion for a Block-Structured Finite Volume Solver over a Dynamically Adaptive Mesh with Local Time Stepping". En Lecture Notes in Computer Science, 153–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07312-0_8.
Texto completoChoptuik, Matthew W. "Making Arbitrarily Small Black Holes: Experiences with AMR in Numerical Relativity". En Structured Adaptive Mesh Refinement (SAMR) Grid Methods, 153–63. New York, NY: Springer New York, 2000. http://dx.doi.org/10.1007/978-1-4612-1252-2_9.
Texto completoBelluigi, Dina Zoe y Gladman Thondhlana. "Transformation or ‘Training the Dog’? Approaches to Access Within an Historically White University in South Africa". En To Be a Minority Teacher in a Foreign Culture, 471–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25584-7_30.
Texto completoChilds, P. N. y J. A. Shaw. "Generation and analysis of hybrid structured/unstructured grids". En Numerical Methods for Fluid Dynamics, 499–507. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198536963.003.0044.
Texto completoPeace, A. J. "Towards a cell-vertex multi-grid Navier-Stokes algorithm for three-dimensional structured/ unstructured meshes". En Numerical Methods for Fluid Dynamics, 593–604. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198536963.003.0055.
Texto completoArina, R. y S. Tarditi. "Orthogonal block structured surface grids". En Numerical Methods for Fluid Dynamics, 293–300. Oxford University PressOxford, 1994. http://dx.doi.org/10.1093/oso/9780198536963.003.0021.
Texto completo"Multi-Frontal Direct Solver Algorithm for Two-Dimensional Grids with Block Dia- gonal Structure of the Matrix". En Fast Solvers for Mesh-Based Computations, 119–38. CRC Press, 2016. http://dx.doi.org/10.1201/b19078-8.
Texto completo"Multi-Frontal Direct Solver Algorithm for Three-Dimensional Grids with Block Dia- gonal Structure of the Matrix". En Fast Solvers for Mesh-Based Computations, 139–62. CRC Press, 2016. http://dx.doi.org/10.1201/b19078-9.
Texto completoActas de conferencias sobre el tema "Structured block mesh"
Koike, Masaki, Daisuke Sasaki, Takashi Misaka, Koji Shimoyama, Shigeru Obayashi, Karin Hirakawa, Naoki Tani y Takaya Kojima. "Numerical Simulation of Cascade Flows Using Block-Structured Cartesian Mesh". En 55th AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-1925.
Texto completoBronsart, R. y G. Knieling. "Automatic Subdivision of Ship Hull Surfaces for Block Structured Mesh Generation". En International Conference on Computer Applications in Shipbuilding. RINA, 2007. http://dx.doi.org/10.3940/rina.iccas.2007.12.
Texto completoBeckingsale, David, Wayne Gaudin, Andrew Herdman y Stephen Jarvis. "Resident Block-Structured Adaptive Mesh Refinement on Thousands of Graphics Processing Units". En 2015 44th International Conference on Parallel Processing (ICPP). IEEE, 2015. http://dx.doi.org/10.1109/icpp.2015.15.
Texto completoMakino, Shinya, Takashi Misaka, Takaya Kojima, Shigeru Obayashi y Daisuke Sasaki. "Aerodynamic Analysis of NASA Common Research Model by Block-Structured Cartesian Mesh". En 2018 AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2018. http://dx.doi.org/10.2514/6.2018-0543.
Texto completoMa, Yu, Yahui Wang, Kuilong Song y Qian Sun. "Adaptive Mesh Refinement for Neutron Transfer With Lattice Boltzmann Scheme". En 2017 25th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/icone25-66093.
Texto completoSharan, Nek y Daniel J. Bodony. "High-order provably stable overset grid methods for block-structured adaptive mesh refinement". En 21st AIAA Computational Fluid Dynamics Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-2872.
Texto completoFukushima, Yuuma, Daisuke Sasaki y Kazuhiro Nakahashi. "Code Development of Linearized Euler Equation on Block-Structured Cartesian Mesh for Complicated Geometries". En 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-832.
Texto completoHasanzadeh, Kazem, Dorian Pena, Yannick Hoarau y Eric Laurendeau. "Multi-time Step Icing Calculations Using a 3D Multi-block Structured Mesh Generation Procedure". En SAE 2015 International Conference on Icing of Aircraft, Engines, and Structures. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2015. http://dx.doi.org/10.4271/2015-01-2161.
Texto completoIioka, Daiki, Fukuda Kazuki, Masato Okamoto, Daisuke Sasaki, Koji Shimoyama y Shigeru Obayashi. "Computational Analysis of Thin airfoils Under Low-Reynolds Number Flow Using Block-Structured Cartesian Mesh". En 55th AIAA Aerospace Sciences Meeting. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-0546.
Texto completoIngram, Clint y D. McRae. "Extension of a dynamic solution-adaptive mesh algorithm and solver to general structured multi-block grid configurations". En 34th Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1996. http://dx.doi.org/10.2514/6.1996-294.
Texto completoInformes sobre el tema "Structured block mesh"
Beckingsale, D., W. Gaudin, R. Hornung, B. Gunney, T. Gamblin, J. Herdman y S. Jarvis. Parallel Block Structured Adaptive Mesh Refinement on Graphics Processing Units. Office of Scientific and Technical Information (OSTI), noviembre de 2014. http://dx.doi.org/10.2172/1184094.
Texto completoBarker, Colin, Herbert Carroll, Richard Erickson, Steve George, Genliang Guo, T. K. Reeves, Bijon Sharma, Michael Szpakiewicz y Len Volk. Investigations on the Structure Tectonics, Geophysics, Geochemistry, and Hydrocarbon Potential of the Black Mesa Basin, Northeastern Arizona. Office of Scientific and Technical Information (OSTI), abril de 1999. http://dx.doi.org/10.2172/6058.
Texto completoSteenkamp, H. M., N. Wodicka, O. M. Weller, J. Kendrick, I. Therriault, T. Peterson, C. J M Lawley y V. Tschirhart. Bedrock geology, Wager Bay area, Kivalliq, Nunavut, parts of NTS 56-F, G. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331890.
Texto completoSteenkamp, H. M., N. Wodicka, C. J M Lawley, T. Peterson, W. Garrison, I. Therriault, J. Kendrick, O. M. Weller y V. Tschirhart. Bedrock geology, Daly Bay area, Kivalliq, Nunavut, NTS 56-A, 46-D west, 46-E southwest, and 56-H south. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331888.
Texto completoSteenkamp, H. M., N. Wodicka, C. J M Lawley, T. Peterson, O. M. Weller, J. Kendrick y V. Tschirhart. Bedrock geology, Armit Lake area, Kivalliq, Nunavut, NTS 56-B and 56-C east. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/331889.
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