计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (19): 260-264.

• 工程与应用 • 上一篇    下一篇

人工鱼群算法在桥梁传感器优化配置中的应用

赵  宇,彭珍瑞,殷  红   

  1. 兰州交通大学 机电工程学院,兰州 730070
  • 出版日期:2013-10-01 发布日期:2015-04-20

Optimal sensor placement for bridge structural health monitoring based on artificial fish school algorithm

ZHAO Yu, PENG Zhenrui, YIN Hong   

  1. School of Mechatronics Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
  • Online:2013-10-01 Published:2015-04-20

摘要: 为了实现桥梁结构健康监测传感器的优化配置,用尽可能少的传感器获取尽可能多的反映桥梁结构健康状况的信息,将人工鱼群算法应用于一座拱桥的传感器配置中,利用人工鱼的三种典型行为,解决桥梁传感器优化配置问题。结果表明,人工鱼群算法自适应能力强,收敛精度高,可以实现桥梁结构健康监测传感器优化配置。

关键词: 人工鱼群算法, 传感器优化配置, 桥梁结构健康监测

Abstract: In order to achieve optimal sensor placement for bridge structural health monitoring, using less sensors gain as many as information reflect health status of bridges structural, artificial fish school algorithm is applied in an arch bridge, to solve optimal sensor placement problem for bridge with three typical behaviors of artificial fish. The results show that artificial fish school algorithm has high self-adaptive ability and precision, can achieve optimal sensor placement for bridge structural health monitoring.

Key words: artificial fish school algorithm, optimal sensor placement, bridge structural health monitoring