HIGH PERFORMANCE COMPUTING FRAMEWORK FOR CO-SIMULATION OF VEHICLE–TERRAIN INTERACTION

<title>ABSTRACT</title> <p>Current modeling and simulation capabilities permit tackling complex multi-physics problems, such as those encountered in ground vehicle mobility studies, using high-fidelity physics-based models for all involved subsystems, including the vehicle, tires, and deformable terrain. However, these come at significant computational burden; research and development on new software architecture and parallelization techniques is crucial in enabling such predictive simulation capabilities to be useful in design of new vehicles or in operational settings.</p> <p>In this paper, we describe the architecture, philosophy, and implementation of a distributed message-passing-based granular terrain simulation capability and its incorporation into an explicit force–displacement co-simulation framework to enable effective simulation of multi-physics mobility problems. We demonstrate that the proposed infrastructure has good parallel scaling characteristics and can thus effectively leverage available computing resources. Furthermore, we show that the outer communication layer, also implemented with a message passing approach, is effective and adds negligible overhead.</p>

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Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-11-15
DOI
https://doi.org/10.4271/2024-01-3727
Primary Topic
Soil Mechanics and Vehicle Dynamics
Type
article
Field-Weighted Citation Impact
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article

HIGH PERFORMANCE COMPUTING FRAMEWORK FOR CO-SIMULATION OF VEHICLE–TERRAIN INTERACTION

Dan Negruţ, Radu Serban, Nicholas Olsen
SAE technical papers on CD-ROM/SAE technical paper series
Soil Mechanics and Vehicle Dynamics
article

HIGH PERFORMANCE COMPUTING FRAMEWORK FOR CO-SIMULATION OF VEHICLE–TERRAIN INTERACTION

Dan Negruţ, Radu Serban, Nicholas Olsen
article en

Abstract

<title>ABSTRACT</title> <p>Current modeling and simulation capabilities permit tackling complex multi-physics problems, such as those encountered in ground vehicle mobility studies, using high-fidelity physics-based models for all involved subsystems, including the vehicle, tires, and deformable terrain. However, these come at significant computational burden; research and development on new software architecture and parallelization techniques is crucial in enabling such predictive simulation capabilities to be useful in design of new vehicles or in operational settings.</p> <p>In this paper, we describe the architecture, philosophy, and implementation of a distributed message-passing-based granular terrain simulation capability and its incorporation into an explicit force–displacement co-simulation framework to enable effective simulation of multi-physics mobility problems. We demonstrate that the proposed infrastructure has good parallel scaling characteristics and can thus effectively leverage available computing resources. Furthermore, we show that the outer communication layer, also implemented with a message passing approach, is effective and adds negligible overhead.</p>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
University of Wisconsin–Madison (US)
Climate action
Openalex Percentile: Top 100%
Soil Mechanics and Vehicle Dynamics
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