Affiliation:
1. Huazhong University of Science and Technology
Abstract
Abstract
This paper presents a framework based on unstructured meshes for three-dimensional large-scale parallel topology optimization using PETSc and Eigen, which is easy to use and expand. The framework solves the minimum compliance problem using diagonally numbered eight-node hexahedral elements. The method of moving asymptotes (MMA) is chosen as the optimization solver. The validity of the framework is demonstrated by a classical cantilever beam problem and two more examples of wheel rim and rotator illustrate the expansibility of the framework. The code can be found from https://github.com/aiwanzhe/Unstructured-FEA-based-Topology-Optimization-in-PETSc-and-Eigen.
Publisher
Research Square Platform LLC
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