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Large-scale parallel topology optimization using a dual-primal substructuring solver
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DOI：10.1007/s00158-007-0190-7.png)
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Parallel computing is an integral part of many scientific disciplines. In this paper, we discuss issues and difficulties arising when a state-of-the-art parallel linear solver is applied to topology optimization problems. Within the topology optimization framework, we cannot readjust domain decomposition to align with material decomposition, which leads to the deterioration of performance of the substructuring solver. We illustrate the difficulties with detailed condition number estimates and numerical studies. We also report the practical performances of finite element tearing and interconnection/dual-primal solver for topology optimization problems and our attempts to improve it by applying additional scaling and/or preconditioning strategies. The performance of the method is finally illustrated with large-scale topology optimization problems coming from different optimal design fields: compliance minimization, design of compliant mechanisms, and design of elastic surface wave-guides.
Keyword:
topology optimization
parallel computing
scalability
domain decomposition
iterative solvers
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4
论文数:
4.9K
被引数:
1.7W
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Topology optimization of 2D continua for minimum compliance using parallel computing使用并行计算对二维连续体进行拓扑优化，以实现最小柔度
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