Multiscale Off-Road Mobility Simulation With Computational Load Balancing for Lower-Scale Discrete-Element Models

Guanchu Chen, Hiroki Yamashita, Y. Ruan, P. Jayakumar, H. Sugiyama
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Abstract

Scalable parallel computing schemes play an important role in physics-based off-road mobility simulations due to complexities in modeling soil behavior for vehicle-terrain interaction. With the hierarchical multiscale off-road mobility simulation capability, limitations of existing computational deformable terrain models can be eliminated, including the use of phenomenological constitutive assumptions in finite element (FE) approaches as well as high computational intensity of discrete element (DE) models. However, parallel computing algorithms for multiscale simulations need to be carefully developed due to possible unbalanced computational loads occurring in lower-scale RVE simulations, which prevents desirable computational speedup. Therefore, this study aims to develop a scalable hybrid MPI-OpenMP parallel computing framework for hierarchical FE-DE multiscale off-road mobility simulations with a special focus on computational load balancing for the lower-scale DE models.
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基于计算负载平衡的小尺度离散元模型多尺度越野机动仿真
可扩展的并行计算方案在基于物理的越野机动仿真中发挥着重要的作用,因为模拟车辆-地形相互作用的土壤行为非常复杂。利用分层多尺度越野机动仿真能力,可以消除现有计算变形地形模型的局限性,包括有限元(FE)方法中使用现象学本构假设以及离散单元(DE)模型的高计算强度。然而,多尺度模拟的并行计算算法需要仔细开发,因为在低尺度RVE模拟中可能出现不平衡的计算负载,这阻碍了理想的计算加速。因此,本研究旨在开发一个可扩展的混合MPI-OpenMP并行计算框架,用于分层FE-DE多尺度越野移动模拟,并特别关注低尺度DE模型的计算负载平衡。
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