Stress-constrained multi-material topology optimization via an improved alternating active-phase algorithm. Issue 2 (1st February 2022)

• Record Type: Journal Article
• Authors: Han, Zhengtong; Wei, Kai; Gu, Zhengqi; Ma, Xiaokui; Yang, Xujing
• Is Part Of: Engineering optimization. Volume 54:Issue 2(2022)
• Page Start: 305
• Page End: 328
• Publication Date: 2022-02-01
• Subjects: Multi-material topology optimization -- stress constraints -- alternating active-phase framework; Engineering design -- Periodicals; Mathematical optimization -- Periodicals; 620.0042
• DOI: 10.1080/0305215X.2020.1867119
• Languages: English
• ISSNs: 0305-215X

Abstract

Abstract : Considering stress constraints in multi-material topology optimization is of great importance from both theoretical and application perspectives. In this article, the stress-constrained multi-material topology optimization problem is considered under the framework of an alternating active-phase algorithm. A nodal variable strategy is employed. In addition, a material distribution-based cluster method is employed instead of a global stress constraint to improve control of the local stress level. The von Mises stresses of the elements are aggregated into several clusters using a p -norm function to represent the stress constraints. Numerical examples are presented, and the influences of key parameters are discussed. The effectiveness of the proposed approach is demonstrated through numerical results.