[1]PENG Zhenrui,ZHAO Yu,YIN Hong,et al.Optimal sensor placement of a bridge based on memetic algorithm[J].CAAI Transactions on Intelligent Systems,2014,9(6):685-689.[doi:10.3969/j.issn.1673-4785.201309018]
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Optimal sensor placement of a bridge based on memetic algorithm

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 9 Number of periods: 2014 6 Page number: 685-689 Column: 学术论文—智能系统 Public date: 2014-12-25
Title:
Optimal sensor placement of a bridge based on memetic algorithm
Author(s):
PENG Zhenrui1;  ZHAO Yu1;  YIN Hong1;  PENG Baorui2
1. School of Mechatronics Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. School of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China
Keywords:
bridge; optimal sensor placement; memetic algorithm; genetic algorithm; simulated annealing algorithm
CLC:
TP18
DOI:
10.3969/j.issn.1673-4785.201309018
Abstract:
In this paper, an optimal sensor placement algorithm based on the memetic algorithm is proposed to solve the problem of optimal sensor placement of a bridge. Firstly the optimal sensor placement is transformed into an optimization problem. Next, the mathematic model is established and the memetic algorithm is used to solve the problem. The memetic algorithm combines global search of the genetic algorithm with local search of the simulated annealing algorithm to overcome the premature convergence problem and local best solution in genetic algorithm. This algorithm was applied in the optimal sensor placement of a suspension bridge. The results indicated that the memetic algorithm can be used to solve the problem, showing better optimization performance and faster convergence speed in comparison with the genetic algorithm.
References:
[1] 李爱群,缪长青.桥梁结构健康监测[M].北京:人民交通出版社,2009:1-9.LI Aiqun, MIAO Changqing. Health monitoring of bridge structures[M].Beijing: China Communications Press, 2009: 1-9.
[2] KAMMER D C. Sensor placement for on-orbit modal identification of large space structures[J]. Journal of Guidance, Control, and Dynamics, 1991, 14(2): 252-259.
[3] LI D S, LI H N, FRITZEN C P. The connection between effective independence and modal kinetic energy methods for sensor placement[J]. Journal of Sound and Vibration, 2007, 305(4/5): 945-955.
[4] 吴子燕,代凤娟,宋静,等.损伤检测中的传感器优化布置方法研究[J]. 西北工业大学学报, 2007, 25(4): 503-507. WU Ziyan, DAI Fengjuan, SONG Jing, et al. A more efficent optimal sensor placement method for structure damage detection[J]. Journal of Northwest Polytechnical University, 2007, 25(4): 503-507.
[5] 覃柏英,林贤坤,张令弥,等.基于整数编码遗传算法的传 感器优化配置研究[J]. 振动与冲击, 2011, 30(2): 252-257.QIN Boying, LIN Xiankun, ZHANG Lingmi, et al. Optimal sensor placement based on integer-coded genetic algorithm[J]. Journal of Vibration and Shock, 2011, 30(2): 252-257.
[6] 林贤坤,覃柏英.微粒算法在传感器优化配置中的应用[J]. 控制工程, 2013, 20(1): 84-92.LIN Xiankun, QIN Boying. Application of particle swarm optimization to optimal placement[J]. Control Engineering of China, 2013, 20(1): 84-92.
[7] 田莉,陈换过,祝俊,等.基于自适应模拟退火遗传算法的传感器优化配置研究[J]. 振动工程学报, 2012, 25(3): 238-243.TIAN Li, CHEN Huanguo, ZHU Jun, et al. A study of optimal placement based on the improved adaptive simulated annealing genetic algorithm[J]. Journal of Vibration Engineering, 2012, 25(3): 238-243.
[8] 高亮,刘文君,周驰.用Memetic算法求解有时间约束的TSP问题[J]. 华中科技大学学报:自然科学版, 2008, 36(7): 93-96.GAO Liang, LIU Wenjun, ZHOU Chi. Solving of TSP with time restraints by memetic algorithm[J]. Journal of Huazhong University of Science and Technology: Natural Science Edition, 2008, 36(7): 93-96.
[9] 陈杰,陈晨,张娟,等.基于Memetic算法的要地防空优化部署方法[J].自动化学报, 2010, 36(2): 242-248. CHEN Jie, CHEN Chen, ZHANG Juan, et al. Deployment optimization for piont air defense based on memetic algorithm[J]. Acta Automatic Sinica, 2010, 36(2): 242-248.
[10] 吴雷, 魏臻, 葛方振.基于Memetic算法的带时间窗车辆路径问题研究[J]. 计算机应用研究, 2012, 29(1): 60-62.WU Lei, WEI Zhen, GE Fangzhen. Memetic algorithm for vehicle routing problem with time widows[J]. Application Research of Computers, 2012, 29(1): 60-62.
[11] GARNE T G, DOHMANN C. A modal test design strategy for model correlation[C]//Proceedings 13th Intl Modal Analysis Conference. New York: Union College, 1995:927-933.
[12] 秦仙蓉,张令弥.一种基于QR分解的逐步累积法传感器配置[J]. 振动、测试与诊断, 2001, 21(3): 168-173.QIN Xiangrong, ZHANG Lingmi. Successive sensor placement for modal paring based-on QR-factorization[J]. Journal of Vibration, Measurement & Diagnosis, 2001, 21(3): 168-173.
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