TY - GEN
T1 - Integrating GPU-Accelerated Tetrahedral Mesh Editing and Simulation
AU - Ströter, Daniel
AU - Halm, Andreas
AU - Krispel, Ulrich
AU - Mueller-Roemer, Johannes S.
AU - Fellner, Dieter W.
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The use of computer-aided methods for the design of parts that must meet functional or stability requirements typically consists of an iterative cycle of design, physical simulation and testing or analysis, followed by redesign, etc. Each step is often performed with a domain-specific tool, e.g., a specific CAD modeling suite. This results in the need to convert the model representation between steps, such as meshing for finite element simulation for example. In recent work, a distributed application framework has been proposed that allows for the interactive modification and simulation of tetrahedral meshes derived from existing CAD models, e.g., to create customized versions of parts that were designed for mass production. This shortens the design cycle by eliminating the need for conversion and switching between tools. In this paper, we present a more detailed description and improvements to this architecture by using GPU parallelization not only for simulation but also for mesh editing, which leads to even shorter iteration cycles.
AB - The use of computer-aided methods for the design of parts that must meet functional or stability requirements typically consists of an iterative cycle of design, physical simulation and testing or analysis, followed by redesign, etc. Each step is often performed with a domain-specific tool, e.g., a specific CAD modeling suite. This results in the need to convert the model representation between steps, such as meshing for finite element simulation for example. In recent work, a distributed application framework has been proposed that allows for the interactive modification and simulation of tetrahedral meshes derived from existing CAD models, e.g., to create customized versions of parts that were designed for mass production. This shortens the design cycle by eliminating the need for conversion and switching between tools. In this paper, we present a more detailed description and improvements to this architecture by using GPU parallelization not only for simulation but also for mesh editing, which leads to even shorter iteration cycles.
KW - Client server architectures
KW - Computer aided design
KW - Massively parallel and high-performance simulations
KW - Massively parallel geometry processing
KW - Simulation environments
UR - http://www.scopus.com/inward/record.url?scp=85151057571&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-23149-0_2
DO - 10.1007/978-3-031-23149-0_2
M3 - Conference paper
AN - SCOPUS:85151057571
SN - 9783031231483
T3 - Lecture Notes in Networks and Systems
SP - 24
EP - 42
BT - Simulation and Modeling Methodologies, Technologies and Applications - International Online Conference SIMULTECH 2021
A2 - Wagner, Gerd
A2 - Werner, Frank
A2 - Oren, Tuncer
A2 - De Rango, Floriano
PB - Springer Science and Business Media Deutschland GmbH
T2 - 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications
Y2 - 7 July 2021 through 9 July 2021
ER -