Two-scale concurrent optimization of composites with elliptical inclusions under microstress constraints within the FE2 framework. (February 2023)

• Record Type: Journal Article
• Authors: Li, Shengya; Hou, Shujuan
• Is Part Of: Computers & structures. Volume 276(2023)
• Publication Date: 2023-02
• Subjects: Microstress constraints -- Concurrent topology optimization -- Multiscale analysis -- Composite microstructure -- FE2; FE2 Multilevel finite element method -- SIMP Solid isotropic material with penalization -- PLSM Parametrization level set method -- PAMP Porous anisotropic material penalization -- BESO Bi-directional evolutionary structural optimization -- UMAT User-defined materials -- FEM Finite element model -- RVE Representative volume element -- VST Variable thickness sheet -- PBCs Periodic boundary conditions -- MBB Messerschmitt-Bölkow-Blohm -- DMO Discrete material optimization method; Structural engineering -- Data processing -- Periodicals; Electronic data processing -- Structures, Theory of -- Periodicals; 624.171
• DOI: 10.1016/j.compstruc.2022.106942
• Languages: English
• ISSNs: 0045-7949

Abstract

Highlights: The novelty of the work lies in the use of microstress constraints to solve the concurrent optimization problems of fiber reinforced two-phase composites within FE 2 framework. The proposed method is capable of deriving optimal solution for macrostructural topology as well as the maximum stiffness design of each unit cell with the maximum principal stress value lower than that of the allowable values. The developed methodology is proven to be effective for conducting concurrent two-scale optimization and for obtaining the optimal micromaterials-macrostructure parameters result. Abstract: In order to avoid the adverse effects of structural damage caused by stress concentration, the optimization problem considering stress constraints is very important in structural design. This paper aims at introducing microstress constraints within a multilevel finite element (FE 2 ) analysis framework to perform the two-scale concurrent optimization and reduce the stress concentration while exhibiting better overall stiffness properties for composites with elliptical inclusions. In order to do that, at the macroscale, relying on the solid isotropic material with penalization (SIMP), a density-based optimization algorithm is raised for a maximum stiffness design and free material distribution optimization under a volume constraint, these displacement solutions and material distributions at the macroscopic structural scale provide kinematic constraints for microscale optimization. At the microscale, the parameterized composite microstructure (inclusion orientation and aspect ratio) is optimized under the principal strain direction constraints of the macroscale element's Gauss integration point. The optimized microstructure in turn updates the macroscopic effective stress directly from the volume average of the microscopic stress field. The clustering strategy is used in order to improve the computation efficiency of the optimization. The novelty of the work lies in the use of microstress constraints to solve the concurrent optimization problems of two-phase composites within the FE 2 framework. The effectiveness of the proposed concurrent optimization approach is validated through three numerical examples.