| 基于改进PSO算法的两阶段损伤识别方法 |
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| 引用本文： | 郭惠勇,王磊,李正良. 基于改进PSO算法的两阶段损伤识别方法[J]. 西南交通大学学报, 2011, 46(6): 926-932 |
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| 作者姓名： | 郭惠勇 王磊 李正良 |
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| 作者单位： | 重庆大学土木工程学院,重庆400045;重庆大学山地城镇建设与新技术教育部重点实验室,重庆400045 |
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| 基金项目： | 重庆市科委自然科学基金资助项目(2010BB4208) |
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| 摘 要： | 为解决结构多损伤情况下的位置识别和损伤程度判定问题,提出了一种基于改进粒子群优化算法和贝叶斯理论的两阶段损伤识别方法,该方法采用频率和模态应变能作为损伤定位源数据,分别用基于频率改变和基于应变能耗散率的识别方法进行损伤信息的初步提取,再利用贝叶斯融合理论对损伤位置进行较为精确的判定.然后,利用粒子群优化(PSO)算法对损伤位置和程度进行更为精确的二次识别.考虑到简单PSO算法易陷入局部最优解,提出了3种改进措施,即粒子位置突变、最优记忆粒子微搜索和双收敛措施.数值仿真结果表明:采用贝叶斯融合理论可以有效地识别出可能的损伤单元,在此基础上用改进的PSO算法可以更精确地识别损伤的位置和程度,同时采用3种改进措施的PSO算法的识别精度明显优于其他PSO算法和遗传算法.
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| 关 键 词： | 损伤识别 粒子群优化 贝叶斯理论 频率 模态应变能 |
Two-Stage Damage Detection Method Based on Improved Particle Swarm Optimization Algorithm |
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| GUO Huiyong , WANG Lei , LI Zhengliang. Two-Stage Damage Detection Method Based on Improved Particle Swarm Optimization Algorithm[J]. Journal of Southwest Jiaotong University, 2011, 46(6): 926-932 |
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| Authors: | GUO Huiyong WANG Lei LI Zhengliang |
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| Affiliation: | GUO Huiyong 1,2,WANG Lei 1,LI Zhengliang 1,2(1.School of Civil Engineering,Chongqing University,Chongqing 400045,China,2.MOE Key Laboratory of New Technology for Construction of Cities in Mountain Area,China) |
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| Abstract: | In order to solve structural multi-damage identification problem,a two-stage identification method based on the particle swarm optimization(PSO) algorithm and the Bayesian theory was proposed.In this method,structural modal strain energy(MSE) and frequency are considered as two information sources,and the methods based on frequency change and MSE dissipation ratio are utilized to extract damage information.Then,the Bayesian theory is utilized to integrate the two information sources and preliminarily detect... |
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| Keywords: | damage identification particle swarm optimization Bayesian theory frequency modal strain energy |
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