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钢筋混凝土简支梁的多目标可靠性稳健优化设计
引用本文:于繁华,刘寒冰.钢筋混凝土简支梁的多目标可靠性稳健优化设计[J].公路交通科技,2007,24(8):52-56.
作者姓名:于繁华  刘寒冰
作者单位:1. 吉林大学,交通学院,吉林,长春,130025;长春师范学院,信息技术学院,吉林,长春,130032
2. 吉林大学,交通学院,吉林,长春,130025
摘    要:为提高钢筋混凝土简支梁的可靠性和稳健性,运用可靠性和稳健优化设计的理论,建立了适合可靠性稳健优化设计的多目标模型。针对可靠性稳健优化设计的多目标模型多属于高维多目标优化问题,把灰色理论中的关联分析引入粒子群优化算法中,根据灰色关联能够很好地分析目标矢量之间的接近程度,并能掌握解空间全貌的特点,提出了适合高维多目标优化问题求解的灰色粒子群算法。与传统方法相比,该方法更能迅速准确地得到钢筋混凝土简支梁的可靠性稳健优化设计信息。

关 键 词:桥梁工程  可靠性稳健优化设计  灰色粒子群算法  随机摄动法  多目标优化
文章编号:1002-0268(2007)08-0052-05
修稿时间:2006-02-18

Multi-objective Reliability Robust Optimization Design of Reinforced Concrete Simple-supported Beam
YU Fan-hua,LIU Han-bing.Multi-objective Reliability Robust Optimization Design of Reinforced Concrete Simple-supported Beam[J].Journal of Highway and Transportation Research and Development,2007,24(8):52-56.
Authors:YU Fan-hua  LIU Han-bing
Institution:1. School of Transportation, Jilin University, Jilin Changchun 130025, China; 2. School of Information Technology, Changchun Normal University, Jilin Changchun 130032, China
Abstract:In order to improve the reliability and robustness of reinforced concrete simple-supported beam,a multi-objective model for reliability robust design is given according to the reliability and robust design theory.The Grey Relevancy Analysis is employed into Particle Swarm Optimization algorithm due to the high dimension nature of multi-objective optimization models.The degree of approach between objective vectors can be well analysed and the panorama of the solution can be controlled by this way.Furthermore,the Grey Particle Swarm algorithm is presented for multi-objective optimization problem with high dimension.In contrast to the traditional method,the proposed approach can obtain the information of reliability optimization design on reinforced concrete simple-supported beam accurately and rapidly.
Keywords:bridge engineering  reliability robust optimization design  Grey Particle Swarm algorithm  probabilistic perturbation  multi-objective optimization
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