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ZJUS-A
Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering)  2008, Vol. 9 Issue (9): 1264-1269    DOI: 10.1631/jzus.A0820217
Civil and Mechanical Engineering     
Optimal design of pressure vessel using an improved genetic algorithm
Peng-fei LIU, Ping XU, Shu-xin HAN, Jin-yang ZHENG
Institute of Chemical Machinery and Process Equipment, Zhejiang University, Hangzhou 310027, China; Institute of Applied Mechanics, Zhejiang University, Hangzhou 310027, China; Hangzhou Special Equipment Inspection Institute, Hangzhou 310003, China
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Abstract  As the idea of simulated annealing (SA) is introduced into the fitness function, an improved genetic algorithm (GA) is proposed to perform the optimal design of a pressure vessel which aims to attain the minimum weight under burst pressure constraint. The actual burst pressure is calculated using the arc-length and restart analysis in finite element analysis (FEA). A penalty function in the fitness function is proposed to deal with the constrained problem. The effects of the population size and the number of generations in the GA on the weight and burst pressure of the vessel are explored. The optimization results using the proposed GA are also compared with those using the simple GA and the conventional Monte Carlo method.

Key words： Pressure vessel      Optimal design      Genetic algorithm (GA)      Simulated annealing (SA)      Finite element analysis (FEA)     
Received: 05 March 2008     
CLC:  TH12  
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Peng-fei LIU
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Shu-xin HAN
Jin-yang ZHENG
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Peng-fei LIU, Ping XU, Shu-xin HAN, Jin-yang ZHENG. Optimal design of pressure vessel using an improved genetic algorithm. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2008, 9(9): 1264-1269.

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http://www.zjujournals.com/xueshu/zjus-a/10.1631/jzus.A0820217     OR     http://www.zjujournals.com/xueshu/zjus-a/Y2008/V9/I9/1264

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