三次元非定常熱流体を対象とした大規模トポロジー最適化法

抄録

This paper presents a topology optimization method for three-dimensional transient thermal-fluid flows, in which the state and adjoint problems are solved by using the lattice Boltzmann method and parallel computing. The local-in-time adjoint-based method is used for reducing storage cost, as time-dependent optimization problems typically require considerable memory when solving adjoint problems. A primitive numerical example that aims to maximize the heat exchange under the prescribed pressure loss is provided to confirm the efficacy of the proposed method.