A novel minimum weight formulation of topology optimization implemented with reanalysis approach

• Published in: International journal for numerical methods in engineering Vol. 120; no. 5; pp. 567 - 579
• Main Authors: Long, Kai, Gu, Chunlu, Wang, Xuan, Liu, Jie, Du, Yixian, Chen, Zhuo, Saeed, Nouman
• Format: Journal Article
• Language: English
• Published: Bognor Regis Wiley Subscription Services, Inc 02.11.2019
• Subjects: approximate reanalysis; Dependence; Design optimization; Hessian matrices; Matrix methods; Minimum weight design; multigrid preconditioned conjugate gradients; Optimization; preconditioned conjugate gradient; Quadratic programming; sequential quadratic programming; Topology optimization; Upper bounds; Weight reduction

Summary In this paper, we develop an efficient diagonal quadratic optimization formulation for minimum weight design problem subject to multiple constraints. A high‐efficiency computational approach of topology optimization is implemented within the framework of approximate reanalysis. The key point...