Metamodel based multi-objective design optimization of laminated composite plates

被引:19
|
作者
Kalita, Kanak [1 ]
Nasre, Pratik [1 ]
Dey, Partha [2 ]
Haldar, Salil [1 ]
机构
[1] Indian Inst Engn Sci & Technol, Dept Aerosp Engn & Appl Mech, Sibpur 711103, Howrah, India
[2] Acad Technol, Dept Mech Engn, Adisaptagram 712121, Hooghly, India
关键词
FE-surrogate; finite element; multi-objective; optimization; robust model; RESPONSE-SURFACE METHODOLOGY; GENETIC ALGORITHM; CUTTING PARAMETERS; VIBRATION ANALYSIS; NEURAL-NETWORK; TOOL LIFE; ROUGHNESS; IDENTIFICATION; FORCES;
D O I
10.12989/sem.2018.67.3.301
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In this paper, a multi-objective multiparameter optimization procedure is developed by combining rigorously developed metamodels with an evolutionary search algorithm-Genetic Algorithm (GA). Response surface methodology (RSM) is used for developing the metamodels to replace the tedious finite element analyses. A nine-node isoparametric plate bending element is used for conducting the finite element simulations. Highly accurate numerical data from an author compiled FORTRAN finite element program is first used by the RSM to develop second-order mathematical relations. Four material parameters- E-1/E-2, G(12)/E-2, G(23)/E-2 and u(12) are considered as the independent variables while simultaneously maximizing fundamental frequency, lambda(1) and frequency separation between the 1st two natural modes, lambda(21). The optimal material combination for maximizing lambda(1) and lambda(21) is predicted by using a multi-objective GA. A general sensitivity analysis is conducted to understand the effect of each parameter on the desired response parameters.
引用
收藏
页码:301 / 310
页数:10
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