Topology optimization for structures with bi-modulus material properties considering displacement constraints. (February 2023)

• Record Type: Journal Article
• Authors: Rong, Xuanpei; Zheng, Jing; Jiang, Chao
• Is Part Of: Computers & structures. Volume 276(2023)
• Publication Date: 2023-02
• Subjects: Topology optimization -- Bi-modulus materials -- Nonlinear materials -- Sensitivity analysis -- Displacement constraint; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2022.106952
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: An effective topology optimization method is developed for bi-modulus structures with displacement constraints for the first time. A new smooth approximate elastic modulus matrix of bi-modulus structures is built. Explicit sensitivity formulations of the structural compliance and displacement for bi-modulus structures are derived. The proposed topology optimization method is capable to deal with problems of bi-modulus structures under multiple load cases. Abstract: In this paper, an efficient topology optimization method is developed for bi-modulus structures considering displacement constraints. In order to overcome the numerical difficulty caused by the non-smoothness bi-modulus material properties, a new smooth elastic modulus matrix concerned with the principal strain states is firstly constructed to approximate the discontinuous modulus matrix for bi-modulus materials. Based on the smooth approximation, topology optimization model for structures under both single and multiple load cases is built to minimize structural compliance with volume and displacement constraints. Considering the nonlinear equilibrium equations, the sensitivities of the objective function and constraints are explicitly achieved based on the adjoint method, and then the gradient-based method of moving asymptotes algorithm is employed to update the topological design variables. A cooperation platform is constructed for the proposed bi-modulus topology optimization, which provides an effective tool for the design optimizations. The proposed method is proved to have good efficiency and applicability to deal with problems with multiple load cases and multiple constraints by several typical numerical examples.