Stiffness Optimization Through a Modified Greedy Algorithm

被引:3
作者
Coropetchi, Iulian Constantin [1 ,2 ]
Vasile, Alexandru [1 ,2 ]
Sorohan, Stefan [2 ]
Picu, Catalin Radu [2 ,3 ]
Constantinescu, Dan Mihai [2 ]
机构
[1] Mil Tech Acad Ferdinand I, Blvd George Cosbuc 39-49, Bucharest 050141, Romania
[2] Univ Politehn Bucuresti, Splaiul Independetei 313, Bucharest 060042, Romania
[3] Rensselaer Polytech Inst, 110 Eighth St, Troy, NY 12180 USA
来源
4TH INTERNATIONAL CONFERENCE ON STRUCTURAL INTEGRITY (ICSI 2021) | 2022年 / 37卷
关键词
optimization; Greedy algorithm; PyAnsys; composite microstructure;
D O I
10.1016/j.prostr.2022.02.006
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Due to the 3D printing techniques, it is possible to create and design components with soft and rigid combinations of materials with different elastic properties which may satisfy multiple material requirements. A soft (blue) and a rigid (purple) material with moduli of elasticity in a ratio 1:10 can be irmkj et printed together following an initial pattern. The objective function was formulated as to maximize the effective stiffness on both in-plane directions. Finite element analyses were performed by using the PyAnsys software under an MIT License in a domain with 16 Q8 elements which represents by symmetry a representative volume element (RVE). The objective function to be maximized can also reduce the anisotropy of the printed topology. We proved that the formulation of three objective functions affects the results obtained with a Greedy algorithm. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页码:755 / 762
页数:8
相关论文
共 5 条
[1]   Materials become insensitive to flaws at nanoscale:: Lessons from nature [J].
Gao, HJ ;
Ji, BH ;
Jäger, IL ;
Arzt, E ;
Fratzl, P .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2003, 100 (10) :5597-5600
[2]   Optimization of Composite Fracture Properties: Method, Validation, and Applications [J].
Gu, Grace X. ;
Dimas, Leon ;
Qin, Zhao ;
Buehler, Markus J. .
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME, 2016, 83 (07)
[3]  
Kaszynski A., 2021, PYANSYS PYMAPDL PYMA
[4]  
Kramer O, 2017, GENETIC ALGORITHMS E, V679
[5]  
Radi K., 2020, THESIS U GRENOBLE AL