A simulated annealing method for design of laminates with required stiffness properties

被引:8
作者
Javidrad, F. [1 ]
Nouri, R. [1 ]
机构
[1] Aeronaut Univ Sci & Technol, Dept Postgrad Studies, Tehran 1384663113, Iran
关键词
Composite laminates; Optimization; Simulated annealing; Effective stiffness; STACKING-SEQUENCE OPTIMIZATION; COMPOSITE STRUCTURES; GENETIC ALGORITHMS; TEMPERATURE; SEARCH;
D O I
10.1016/j.compstruct.2010.10.011
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
Designing a laminate based on its stiffness properties requires finding the optimum lamination stacking sequence to yield the required stiffness properties. The design variables to be considered are the number of layers and orientation angle of fibers in each layer group, which are treated as discrete-variables. The optimum lamination is then obtained by minimizing a cost function composed of the relative difference between the calculated effective stiffness properties and weight of trial laminate and the desired properties. This error minimization problem was solved using a modified simulated annealing heuristic method. The new simulated annealing implementation comprises a cooling procedure in which the temperature decrease relied adaptively on the objective function evolution. It is shown that the proposed method can give rise to an improvement in convergence speed. To achieve a further improvement in the performance of the method, simulated annealing parallelization implemented using the proposed cooling process. The main features of this algorithm are described and its encouraging results are presented. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1127 / 1135
页数:9
相关论文
共 26 条
[1]   Multi-objective stacking sequence optimization of laminated cylindrical panels using a genetic algorithm and neural networks [J].
Abouhamze, M. ;
Shakeri, M. .
COMPOSITE STRUCTURES, 2007, 81 (02) :253-263
[2]   Optimum design of composite laminates for minimum thickness [J].
Akbulut, Mustafa ;
Sonmez, Fazil O. .
COMPUTERS & STRUCTURES, 2008, 86 (21-22) :1974-1982
[3]   Adaptive temperature control for simulated annealing: a comparative study [J].
Azizi, N ;
Zolfaghari, S .
COMPUTERS & OPERATIONS RESEARCH, 2004, 31 (14) :2439-2451
[4]   Optimization of constrained composite absorbers using simulated annealing [J].
Chang, YC ;
Yeh, LJ ;
Chiu, MC .
APPLIED ACOUSTICS, 2005, 66 (03) :341-352
[5]   Hybrid of genetic algorithm and simulated annealing for multiple project scheduling with multiple resource constraints [J].
Chen, Po-Han ;
Shahandashti, Seyed Mohsen .
AUTOMATION IN CONSTRUCTION, 2009, 18 (04) :434-443
[6]   Buckling optimization of composite laminated adaptive structures [J].
Correia, VMF ;
Soares, CMM ;
Soares, CAM .
COMPOSITE STRUCTURES, 2003, 62 (3-4) :315-321
[7]   Improved global-local simulated annealing formulation for solving non-smooth engineering optimization problems [J].
Genovese, K ;
Lamberti, L ;
Pappalettere, C .
INTERNATIONAL JOURNAL OF SOLIDS AND STRUCTURES, 2005, 42 (01) :203-237
[8]   Optimum stacking sequence design of composite materials Part I: Constant stiffness design [J].
Ghiasi, Hossein ;
Pasini, Damiano ;
Lessard, Larry .
COMPOSITE STRUCTURES, 2009, 90 (01) :1-11
[9]   COOLING SCHEDULES FOR OPTIMAL ANNEALING [J].
HAJEK, B .
MATHEMATICS OF OPERATIONS RESEARCH, 1988, 13 (02) :311-329
[10]  
Hyer MW., 1998, STRESS ANAL FIBER RE