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基于多目标差分进化算法的结构物理参数辨识
引用本文:王延伟,卢亮,温瑞智,丰彪.基于多目标差分进化算法的结构物理参数辨识[J].地震工程与工程振动,2011,31(5):121-126.
作者姓名:王延伟  卢亮  温瑞智  丰彪
作者单位:1. 中国地震局工程力学研究所,黑龙江哈尔滨,150080
2. 建设部综合勘察研究设计院深圳研究院,广东深圳,518052
基金项目:中国地震局工程力学研究所基本科研业务费专项项目(2008B010); 国家重点基础研究发展计划(973)项目(2007CB714205); 国家科技支撑计划项目(2009BAK55B05)
摘    要:优化算法在用于结构的物理参数辨识时,测量数据的不完备和噪声严重影响了参数的辨识精度.针对这一问题,为得到理想的辨识精度,将时程响应数据和频率数据定义为多目标函数,并利用多目标差分进化算法(DEMO)进行优化求解.在数值模拟中,利用10层剪切型框架结构和31个单元的桁架桥结构作为算例.计算结果表明,该多目标函数和DEMO...

关 键 词:参数辨识  多目标优化  多目标函数  多目标差分进化算法

Physical parameters identification of structure based on multi-objective differential evolution algorithm
WANG Yanwei,LU Liang,WEN Ruizhi,FENG Biao.Physical parameters identification of structure based on multi-objective differential evolution algorithm[J].Earthquake Engineering and Engineering Vibration,2011,31(5):121-126.
Authors:WANG Yanwei  LU Liang  WEN Ruizhi  FENG Biao
Institution:WANG Yanwei1,LU Liang2,WEN Ruizhi1,FENG Biao1 (1.Institute of Engineering Mechanics,China Earthquake Administration,Harbin 150080,China,2.Shenzhen Department,Institute of Geotechnical Surveying,Design and Investigation,Ministry of Construction,Shenzhen 518052,China)
Abstract:Using optimization algorithms to identify structural physical parameters,the identification precision is seriously influenced by incomplete measurement and noise.In order to solve this problem,a new multi-objective function defined by dynamic responses and frequencies was proposed,and the Multi-objective Differential Evolution Optimization(DEMO) was used to obtain optimal solutions.In numerical simulation,a 10-floor shear structure and 31 elements truss structure were identified,and the results proved that ...
Keywords:parameter identification  multi-objective optimization  multi-objective function  multi-objective differential evolution  
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