改进多种群遗传算法在墙土系统损伤识别中的应用
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摘要
针对墙土系统损伤识别方法进行研究,提出了一种基于改进多种群遗传算法的墙土系统损伤识别方法。首先,建立了墙土系统动测简化模型,同时对土体发生损伤时墙土系统的特征方程进行理论分析,基于系统的特征方程构造目标函数;其次,对多种群遗传算法进行改进,改进的内容主要包括采用实数编码、采用自适应交叉概率、采用自适应变异概率;最后,利用改进多种群遗传算法分别进行了无噪声条件和噪声条件下的墙土系统损伤定位和定量研究。通过分析结果表明:无论对单处损伤还是多处损伤、单一损伤程度还是多损伤程度,按所提出的方法都能较好的识别出损伤位置和损伤程度,具有较强的抗噪声能力。因此,所提出的方法为墙土系统的损伤识别提供一种简单有效的途径。
The method of damage identification in soil-wall system was studied;a new approach based on improved multi-population genetic algorithm(IMGA) was developed.First,the simplified dynamic-detection model of soil-wall system was established,meanwhile,the theoretical analysis of characteristic equations in soil-wall system was conducted when soil in damage status.The objective function based on characteristic equations was established.Then,the improvements of multi-population genetic algorithm,including the adoption of real-valued representation,adaptive cross operator and adaptive mutation operator,were conducted.Finally,the localization and quantification of the soil-wall system damage were performed by IMGA with and without the consideration of noise,respectively.The results indicate that damage location and damage extent can be detected efficiently,and anti-noise performance is better.
The method of damage identification in soil-wall system was studied;a new approach based on improved multi-population genetic algorithm(IMGA) was developed.First,the simplified dynamic-detection model of soil-wall system was established,meanwhile,the theoretical analysis of characteristic equations in soil-wall system was conducted when soil in damage status.The objective function based on characteristic equations was established.Then,the improvements of multi-population genetic algorithm,including the adoption of real-valued representation,adaptive cross operator and adaptive mutation operator,were conducted.Finally,the localization and quantification of the soil-wall system damage were performed by IMGA with and without the consideration of noise,respectively.The results indicate that damage location and damage extent can be detected efficiently,and anti-noise performance is better.
引文
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[2]Perera R,Torres R.Structural damage detection viamodal data with genetic algorithms[J].Journal ofStructural Engineering,2006,132(9):1491-1501.
[3]Koh B H,Dyke S J.Structural health monitoring forflexible bridge structures using correlation andsensitivity of modal data[J].Computers&Structures,2007,85:117-130.
[4]He X,Kawatani M,Hayashikawa T,et al.A bridgedamage detection approach using train-bridge interactionanalysis and GA optimization[J].Procedia Engineering,2011,14:769-776.
[5]Meruane V,Heylen W.An hybrid real genetic algorithmto detect structural damage using modal properties[J].Mechanical Systems and Signal Processing,2011,25:1559-1573.
[6]Nobahari M,Seyedpoor S M.Structural damagedetection using an efficient correlation-based index and amodified genetic algorithm[J].Mathematical andComputer Modeling,2011,53:1798-1809.
[7]Liu H,Xin K G,Qi Q Q.Study of structural damagedetection with multi-objective function geneticalgorithms[J].Procedia Engineering,2011,12:80-86.
[8]袁颖,林皋,闫东明,等.基于残余力向量法和改进遗传算法的结构损伤识别研究[J].计算力学学报,2007,24(2):224-230.Yuan Y,Lin G,Yan D M,et al.Study on structuraldamage identification based on residual force methodand improved genetic algorithm[J].Chinese Journal ofComputational Mechanics,2007,24(2):224-230.
[9]袁颖,林皋,闫东明,等.基于改进遗传算法的桥梁结构损伤识别应用研究[J].应用力学学报,2007,24(2):186-190.Yuan Y,Lin G,Yan D M,et al.Improved geneticalgorithm for bridge damage detection[J].ChineseJournal of Applied Mechanics,2007,24(2):186-190.
[10]尹涛,朱宏平,余岭.运用改进的遗传算法进行框架结构损伤检测[J].振动工程学报,2006,19(4):525-531.Yin T,Zhu H P,Yu L.Application study of animproved genetic algorithm for frame structure damagedetection[J].Journal of Vibration Engineering,2006,19(4):525-531.
[11]陈存恩,李文雄.结合灵敏度修正的遗传算法的结构损伤诊断[J].地震工程与工程振动,2006,26(5):172-176.Chen C E,Li W X.Structural damage diagnosis by geneticalgorithm with sensitivity updating[J].EarthquakeEngineering and Engineering Vibration,2006,26(5):172-176.
[12]尹强,周丽.基于遗传优化最小二乘算法的结构损伤识别[J].振动与冲击,2010,29(8):155-159.Yin Q,Zhou L.Structural damage identification basedon GA optim ized least square estimation[J].Journal ofVibration and Shock,2010,29(8):155-159.
[13]李小平,郑世杰.基于遗传算法和拓扑优化的结构多孔洞损伤识别[J].振动与冲击,2011,30(7):201-204.Li X P,Zheng S J.Multi-hole damage detection instructures based on genetic algorithms and topology op-timization[J].Journal of Vibration and Shock,2011,30(7):201-204.
[14]黄天立,楼梦麟,任伟新.基于CMDLAC指标和遗传算法的结构损伤定位研究[J].计算力学学报,2009,26(4):529-534.Huang T L,Lou M L,Ren W X.Structural damage lo-calization based on the CMDLAC and genetic algorithm[J].Chinese Journal of Computational Mechanics,2009,26(4):529-534.
[15]张永兴,刘世安,陈建功.土体对悬臂挡墙模态的影响与应用[J].土木建筑与环境工程,2009,31(3):72-77.Zhang Y X,Liu S A,Chen J G.Influence and its applica-tion of soil on the mode of cantilever retaining wall[J].Journal of Civil,Architectural&Environmental Engineer-ing,2009,31(3):72-77.
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