Fast 3D solvers for interactive computational mechanics

Abstract While interactive simulations have been mostly limited to Computer Graphics applications, new generations of Graphics Processing Units (GPUs) allow the realization of industrial-grade interactive 3D physics simulations. By combining an immersed boundary method with efficient GPU-based MINRES and CG solvers using a GPU-based geometric multigrid preconditioner, we demonstrate a fast industrial 3D computational mechanics solver. The various implementation aspects - specifically how they differ from similar concepts used in the Computer Graphics community - are discussed in detail. The proposed concept opens up new classes of industrial simulation applications allowing a democratization beyond today’s expert users, from designer centric simulation to operational and service decisions based on 3D simulations. To support this, we provide various benchmark cases including a real-world study of a simulation-based service decision for a damaged gear-box mount.

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Publication Details

Journal
Journal of Mathematics in Industry
Published
2024-09-16
DOI
https://doi.org/10.1186/s13362-024-00160-x
Primary Topic
Advanced Numerical Methods in Computational Mathematics
Type
article
Field-Weighted Citation Impact
0.00
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article

Fast 3D solvers for interactive computational mechanics

Stefan Gavranovic, Dirk Hartmann, Lukas Failer, Zain Hassan
Journal of Mathematics in Industry
Advanced Numerical Methods in Computational Mathematics
article

Fast 3D solvers for interactive computational mechanics

Stefan Gavranovic, Dirk Hartmann, Lukas Failer, Zain Hassan
article en

Abstract

Abstract While interactive simulations have been mostly limited to Computer Graphics applications, new generations of Graphics Processing Units (GPUs) allow the realization of industrial-grade interactive 3D physics simulations. By combining an immersed boundary method with efficient GPU-based MINRES and CG solvers using a GPU-based geometric multigrid preconditioner, we demonstrate a fast industrial 3D computational mechanics solver. The various implementation aspects - specifically how they differ from similar concepts used in the Computer Graphics community - are discussed in detail. The proposed concept opens up new classes of industrial simulation applications allowing a democratization beyond today’s expert users, from designer centric simulation to operational and service decisions based on 3D simulations. To support this, we provide various benchmark cases including a real-world study of a simulation-based service decision for a damaged gear-box mount.

Journal of Mathematics in IndustryVol. 14(1)
Siemens (Germany) (DE), Technical University of Munich (DE), Technische Universität Braunschweig (DE), KU Leuven (BE)
Openalex Percentile: Top 82%
Advanced Numerical Methods in Computational Mathematics
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