Journal Article

A robust dynamic unified multi-material topology optimization method for functionally graded structures

Lee, Dongkyu, Lee, Jaehong, Kang, Joowon, Banh, Thanh T., Lieu, Qui X.

2023

Overview

In this article, a density-driven unified multi-material topology optimization framework is suggested for functionally graded (FG) structures under static and dynamic responses. For this, two-dimensional solid structures and plate-like structures with/without variable thickness are investigated as design domains using multiple in-plane bi-directional FG materials (IBFGMs). In the present approach, a generally refined interpolation scheme relying upon Solid Isotropic Material with Penalization is proposed to deal with equivalent properties of IBFGMs. This methodology’s topological design variables are totally independent of all material phases. Therefore, the present method can yield separate material phases at their contiguous boundaries without intermediate density materials. The assumption of mixed interpolation of tensorial components of the 4-node shell element is employed to analyze plate elements, aiming to tackle the shear-locking phenomenon encountered as the optimal plate thickness becomes thinner. The mesh-independence filter is utilized to suppress the checkerboard formation of the material distribution. The method of Moving Asymptotes is used as an optimizer to update design variables in the optimization process. Several numerical examples are presented to evaluate the efficiency and reliability of the current approach.

• Publisher: Springer Berlin Heidelberg,Springer Nature B.V
• Subject: Asymptotes / Computational Mathematics and Numerical Analysis / Density / Design optimization / Engineering / Engineering Design / Functionally gradient materials / Independent variables / Interpolation / Isotropic material / Optimization / Reliability analysis / Research Paper / Robustness (mathematics) / Theoretical and Applied Mechanics / Topology optimization / Variable thickness