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Optimal Stacking Sequence Design Of Laminate Composite Structure Using Tabu Embedded Simulated Annealing

IR@SERC: CSIR-Structural Engineering Research Centre, Chennai

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Title Optimal Stacking Sequence Design Of Laminate Composite Structure Using Tabu Embedded Simulated Annealing
 
Creator Rama Mohan Rao, A.
Aravind, N.
 
Subject Laminate composites
Optimal design; simulated annealing
Tabu search
Thermal buckling
 
Description This paper deals with optimal stacking sequence design of laminate composite structures. The stacking sequence optimisation of laminate composites is formulated as a combinatorial problem and is solved using Simulated Annealing (SA), an algorithm devised based on inspiration of physical process of annealing of solids. The combinatorial constraints are handled using a correction strategy. The SA algorithm is strengthened by embedding Tabu search in order to prevent recycling of recently visited solutions and the resulting algorithm is referred to as tabu embedded simulated Annealing (TSA) algorithm. Computational performance of the proposed TSA algorithm is enhanced through cache-fetch implementation. Numerical experiments have been conducted by considering rectangular composite panels and composite cylindrical shell with different ply numbers and orientations. Numerical studies indicate that the TSA algorithm is quite effective in providing practical designs for lay-up sequence optimisation of laminate composites. The effect of various neighbourhood search algorithms on the convergence characteristics of TSA algorithm is investigated. The sensitiveness of the proposed optimisation algorithm for various parameter settings in simulated annealing is explored through parametric studies. Later, the TSA algorithm is employed for multi-criteria optimisation of hybrid composite cylinders for simultaneously optimising cost as well as weight with constraint on buckling load. The two objectives are initially considered individually and later collectively to solve as a multi-criteria optimisation problem. Finally, the computational efficiency of the TSA based stacking sequence optimisation algorithm has been compared with the genetic algorithm and found to be superior in performance.
 
Date 2009
2009
2007
 
Type Journal article
 
Identifier Structural Engineering and Mechanics, Vol.25, No.2 2007, p.239-268
http://hdl.handle.net/123456789/22
 
Language en
 
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Publisher Structural Engineering Research Centre,