Topology optimization of structures under multiple loading cases with a new compliance-volume product

被引:22
|
作者
Li, Hao [1 ]
Gao, Liang [1 ]
Li, Peigen [1 ]
机构
[1] Huazhong Univ Sci & Technol, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
topology optimization; multi-objective optimization; fuzzy multiple-attribute group decision making; normalized exponential weighted criterion; DESIGN; ALGORITHM; CODE;
D O I
10.1080/0305215X.2013.800054
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This article proposes a new topology optimization method for the design of structures under multiple loading cases. The design is formulated as a multi-objective optimization problem by minimizing a new compliance-volume product, which optimizes the overall stiffness and volume simultaneously to avoid the empirical decision on design constraints and obtain an even lower structural volume. A normalized exponential weighted criterion (NEWC) method is included in the multi-objective optimization problem for the capture of the entire Pareto frontier. A weight evaluation method, in terms of the fuzzy multiple-attribute group decision-making (FMAGDM) theory, is incorporated in the problem to evaluate the weights of the objectives and guarantee the optimal design in an acceptable level. The solid isotropic material with penalty (SIMP) method is used to represent the dependence of elemental densities on material properties. Three typical numerical examples are employed to show the effectiveness of the proposed method.
引用
收藏
页码:725 / 744
页数:20
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