论文类型：

期刊论文

发表刊物：

Computer Methods in Applied Mechanics and Engineering

收录刊物：

SCI

所属单位：

华中科技大学

学科门类：

工学

一级学科：

力学

项目来源：

This work is partially supported by the National Natural Science Foundation of China (No. 52105255,

页面范围：

117292

关键字：

High-resolution topology optimization Parametric level set method Parallel computation Large-scale structures CAD

DOI码：

10.1016/j.cma.2024.117292.

摘要：

Recently, the high-resolution topology optimization to promote engineering applicability has gained much more attentions. However, an accurate and highly-efficient design framework for implementing shape and topology optimization of engineering structures with integration of CAD model is still in demand. In the current work, the critical intention is to develop a CAD-oriented parallel-computing design framework for arbitrary structures, where the Parametric Level Set Method (PLSM) is employed for shape and topology optimization. Firstly, an implicit identification model is constructed for generating a signed distance field using the vertex and normal information from the ‘STL’ file of engineering structures. The signed distance field is combined with the compactly supported radial basis functions (CSRBFs) to solve the initial level set function with a parametrization. This method is applied to present all domains, including design domains, Neumann boundary domains, Dirichlet boundary domains, and non-design domains. Secondly, the CPU parallel strategy is considered for allocating partitions of structural stiffness matrix in finite element analysis to different CPU cores for the parallel-computing to save computation costs. Thirdly, a parallel-computing design formulation is developed for performing shape and topology optimization of arbitrary structures, in which the partitioned terms of all design variables and stiffness matrix are concurrently computed on each CPU core. Finally, several classic benchmarks and the critical engineering structure of Virtual Reality (VR) glass part with extremely complex geometries, are discussed to demonstrate the effectiveness and efficiency of the proposed design framework.

发布期刊链接：

https://www.sciencedirect.com/science/article/pii/S0045782524005486