Design of multiple materials structure based on an explicit and implicit hybrid topology optimization method

被引:0
作者
Li, Zhao [1 ]
Xu, Hongyu [1 ]
Zhang, Shuai [2 ]
Cui, Jintao [1 ]
Liu, Xiaofeng [1 ]
机构
[1] Henan Univ Sci & Technol, Sch Mechatron Engn, Luoyang 471003, Peoples R China
[2] Henan Univ Sci & Technol, Coll Vehicle & Traff Engn, Luoyang 471003, Peoples R China
关键词
Multiple materials structure; Topology optimization; Moving morphable component (MMC); Solid isotropic material with penalization (SIMP); Hybrid topology optimization; LEVEL SET METHOD; ALGORITHM;
D O I
10.1038/s41598-025-02850-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In this paper, an explicit and implicit hybrid topology optimization method is proposed for the design of multiple materials structure. The explicit topology optimization employs the moving morphable component (MMC) method to determine where the solid material is present within the design domain. The implicit topology optimization employs the solid isotropic material with penalization (SIMP) method to identify material type within the solid material region. The explicit and implicit topology optimization methods are combined through a surrogate material model, resulting in a new hybrid topology optimization framework known as the MMC-SIMP hybrid topology optimization method. The proposed method retains the advantages of both individual optimization methods, allowing for explicit boundary representation and high design freedom in material selection. The element density function and sensitivity analysis are conducted based on two-phase materials topology optimization. Finally, some numerical examples demonstrate the effectiveness of the proposed method.
引用
收藏
页数:17
相关论文
共 58 条
[1]   Structural optimization using sensitivity analysis and a level-set method [J].
Allaire, G ;
Jouve, F ;
Toader, AM .
JOURNAL OF COMPUTATIONAL PHYSICS, 2004, 194 (01) :363-393
[2]   Multi-material topology optimization of coated structures using level set method [J].
Bai, Jiantao ;
Zuo, Wenjie .
COMPOSITE STRUCTURES, 2022, 300
[3]   Simultaneous optimization of topology and layout of modular stiffeners on shells and plates [J].
Bakker, Coen ;
Zhang, Lidan ;
Higginson, Kristie ;
van Keulen, Fred .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2021, 64 (05) :3147-3161
[4]   GENERATING OPTIMAL TOPOLOGIES IN STRUCTURAL DESIGN USING A HOMOGENIZATION METHOD [J].
BENDSOE, MP ;
KIKUCHI, N .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1988, 71 (02) :197-224
[5]   Material interpolation schemes in topology optimization [J].
Bendsoe, MP ;
Sigmund, O .
ARCHIVE OF APPLIED MECHANICS, 1999, 69 (9-10) :635-654
[6]  
Bendsoe MP., 1989, Struct Optimiz, V1, P193, DOI DOI 10.1007/BF01650949
[7]   Concurrent topology and stacking sequence optimization of composite laminate plates using lamination parameters [J].
Bohrer, Rubens Zolar Gehlen ;
Kim, Il Yong .
COMPOSITE STRUCTURES, 2021, 276
[8]   Generalized Geometry Projection: A Unified Approach for Geometric Feature Based Topology Optimization [J].
Coniglio, Simone ;
Morlier, Joseph ;
Gogu, Christian ;
Amargier, Remi .
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING, 2020, 27 (05) :1573-1610
[9]   A Heaviside function-based density representation algorithm for truss-like buckling-induced mechanism design [J].
Deng, Hao .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, 2019, 119 (11) :1069-1097
[10]   Multi material topology and stacking sequence optimization of composite laminated plates [J].
Gehlen Bohrer, Rubens Zolar ;
Kim, Il Yong .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2022, 65 (09)