Robust Topology Optimization of Periodic Multi-Material Functionally Graded Structures under Loading Uncertainties

作     者：Xinqing Li Qinghai Zhao Hongxin Zhang Tiezhu Zhang Jianliang Chen 

作者机构：College of Mechanical and Electrical EngineeringQingdao UniversityQingdao266071China Power Integration and Energy Storage System Engineering Technology CenterQingdao UniversityQingdao266071China 

出 版 物：《Computer Modeling in Engineering & Sciences》 (工程与科学中的计算机建模（英文）)

年 卷 期：2021年第127卷第5期

页      面：683-704页

核心收录：

学科分类：07[理学] 0835[工学-软件工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：This work is supported by the Natural Science Foundation of China(Grant 51705268) China Postdoctoral Science Foundation Funded Project(Grant 2017M612191). 

主　　题：Multi-material topology optimization robust design periodic functional gradient sparse grid method 

摘      要：This paper presents a robust topology optimization design approach for multi-material functional graded structures under periodic constraint with load uncertainties.To characterize the random-field uncertainties with a reduced set of random variables,the Karhunen-Lo`eve(K-L)expansion is adopted.The sparse grid numerical integration method is employed to transform the robust topology optimization into a weighted summation of series of deterministic topology optimization.Under dividing the design domain,the volume fraction of each preset gradient layer is extracted.Based on the ordered solid isotropic microstructure with penalization(Ordered-SIMP),a functionally graded multi-material interpolation model is formulated by individually optimizing each preset gradient layer.The periodic constraint setting of the gradient layer is achieved by redistributing the average element compliance in sub-regions.Then,the method of moving asymptotes(MMA)is introduced to iteratively update the design variables.Several numerical examples are presented to verify the validity and applicability of the proposed method.The results demonstrate that the periodic functionally graded multi-material topology can be obtained under different numbers of sub-regions,and robust design structures are more stable than that indicated by the deterministic results.