A hybrid method of FEM, modified NSGAII and TOPSIS for structural optimization of sandwich panels with corrugated core

被引：25
作者：
Khalkhali, Abolfazl [1 ]
Khakshournia, Sharif [1 ]
Nariman-Zadeh, Nader [2 ,3 ]
机构：
[1] Iran Univ Sci & Technol, Sch Automot Engn, Tehran 1455664611, Iran
[2] Univ Guilan, Dept Mech Engn, Fac Engn, Rasht, Iran
[3] Univ Tehran, Sch Mech Engn, Fac Engn, Intelligent Based Expt Mech Ctr Excellence, Tehran, Iran
来源：
JOURNAL OF SANDWICH STRUCTURES & MATERIALS | 2014年 / 16卷 / 04期
关键词：
Sandwich panels with corrugated core; multi-objective optimization; finite element method; TOPSIS method; MULTIOBJECTIVE OPTIMIZATION; DESIGN OPTIMIZATION; NEURAL-NETWORKS; CFD;
D O I：
10.1177/1099636214531516
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
Low weight and high load capacity are remarkable advantages of sandwich panels which make them more considerable by structure designers. In this paper, multi-objective optimization of sandwich panels with corrugated core is carried out using modified Non-dominated Sorting Genetic Algorithm (NSGAII) considering two objective functions: the structure's weight and deflection. Deflection of the panel as one of the objective functions is calculated using finite element analysis by commercial software ANSYS. To employ this FE model in the multi-objective optimization process, the software products ANSYS and MATLAB have been coupled together during the run time. Finally, nearest to ideal point (NIP) method and technique for ordering preferences by similarity to ideal solution (TOPSIS) method are used to find the some trade-off optimum design points from all non-dominated optimum design points represented by the Pareto fronts.
引用
收藏
页码：398 / 417
页数：20
相关论文
共 19 条
[1]  
Bazant Z.P., 1991, Stability of Structure : Elrntic, Inelwtic, Fracture, and Damage Theoria
[2]   The cross-entropy method in multi-objective optimisation: An assessment [J].
Bekker, James ;
Aldrich, Chris .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2011, 211 (01) :112-121
[3]   A fast and elitist multiobjective genetic algorithm: NSGA-II [J].
Deb, K ;
Pratap, A ;
Agarwal, S ;
Meyarivan, T .
IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2002, 6 (02) :182-197
[4]  
Goldberg DE., 1989, GENETIC ALGORITHMS S, V13
[5]   A novel MILP-based objective reduction method for multi-objective optimization: Application to environmental problems [J].
Guillen-Gosalbez, Gonzalo .
COMPUTERS & CHEMICAL ENGINEERING, 2011, 35 (08) :1469-1477
[6]   Precise bending stress analysis of corrugated-core, honeycomb-core and X-core sandwich panels [J].
He, Li ;
Cheng, Yuan-Sheng ;
Liu, Jun .
COMPOSITE STRUCTURES, 2012, 94 (05) :1656-1668
[7]   Crashworthiness optimization of corrugated sandwich panels [J].
Hou, Shujuan ;
Zhao, Shuyun ;
Ren, Lili ;
Han, Xu ;
Li, Qing .
MATERIALS & DESIGN, 2013, 51 :1071-1084
[8]   Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process [J].
Jamali, A. ;
Nariman-zadeh, N. ;
Darvizeh, A. ;
Masoumi, A. ;
Hamrang, S. .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2009, 22 (4-5) :676-687
[9]   Reliability-based robust multi-objective crashworthiness optimisation of S-shaped box beams with parametric uncertainties [J].
Khakhali, A. ;
Nariman-zadeh, Nader ;
Darvizeh, A. ;
Masoumi, A. ;
Notghi, B. .
INTERNATIONAL JOURNAL OF CRASHWORTHINESS, 2010, 15 (04) :443-456
[10]   Pareto based multi-objective optimization of a cyclone vortex finder using CFD, GMDH type neural networks and genetic algorithms [J].
Khalkhali, Abolfazl ;
Safikhani, Hamed .
ENGINEERING OPTIMIZATION, 2012, 44 (01) :105-118
12