Optimization of Type 4 composite pressure vessels using genetic algorithms and simulated annealing

被引：62

作者：

Alcantar, V. ^{[1
]}

Aceves, S. M. ^{[2
]}

Ledesma, E. ^{[1
]}

Ledesma, S. ^{[1
]}

Aguilera, E. ^{[1
]}

机构：

[1] Univ Guanajuato, Sch Engn, Comunidad Palo Blanco, Campus Irapuato Salamanca, Salamanca 36885, Gto, Mexico

[2] Lawrence Livermore Natl Lab, Livermore, CA USA

来源：

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY | 2017年 / 42卷 / 24期

关键词：

Type; 4; vessel; Optimization; Genetic algorithm; Simulated annealing; OPTIMAL-DESIGN; TANKS;

D O I：

10.1016/j.ijhydene.2017.03.032

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

We propose and demonstrate two methodologies for weight minimization of Type 4 (plastic lined, fiber wrapped) compressed hydrogen pressure vessels: genetic algorithms and simulated annealing. We consider 70 MPa vessels with a safety factor of 2.25, and analyze the vessels with classical laminate theory. We propose an objective function based on Tsai-Wu criterion, composite thickness, a safety factor, and a penalization factor. The optimum results are analyzed and compared by a high resolution finite element model. Computer simulations show that the proposed methodology produces more efficient designs by reducing the weight by up to 9.8% and 11.2% when compared to previously published vessel optimization research. (C) 2017 Hydrogen Energy Publications LLC. Published by Elsevier Ltd. All rights reserved.

引用

页码：15770 / 15781

页数：12

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