Large-scale topology optimization incorporating local-in-time adjoint-based method for unsteady thermal-fluid problem
Large-scale topology optimization incorporating local-in-time adjoint-based method for unsteady thermal-fluid problem
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DOI：
10.1007/s00158-018-1922-6
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发表时间：
2018-02
影响因子：
3.9
通讯作者：
K. Yaji;M. Ogino;Cong Chen;K. Fujita
中科院分区：
文献类型：
--
作者：
K. Yaji;M. Ogino;Cong Chen;K. Fujita
本文简要报告了基于局部时（LT）伴随的方法在非定常热流体的大规模拓扑优化问题中的适用性。LT方法的基本思想是将一个与时间相关的优化问题分解成合理的子问题，以减少内存开销。我们证明了该方法通过结合LT方法、晶格玻尔兹曼方法和并行计算来解决大规模拓扑优化问题。
This note briefly reports on the applicability of the local-in-time (LT) adjoint-based method to a large-scale topology optimization problem with unsteady thermal-fluid. The basic idea of the LT method is to divide a time-dependent optimization problem into reasonable subproblems to reduce memory cost. We demonstrate that the proposed method solves the large-scale topology optimization problem by incorporating the LT method, the lattice Boltzmann method, and parallel computing.