大跨斜拉桥基于灵敏度分析的索力传感器优化布置

Optimal cable force sensor placement for long-span cable-stayed bridge based on sensitivity analysis

  • 摘要: 目前,斜拉桥索力传感器布置方案通常选择不同规格的斜拉索以及索力较大、应力幅值变化较大的斜拉索进行监测,缺少科学的斜拉桥索力传感器布置方法。本文以识别斜拉桥结构损伤为目标,提出一种基于灵敏度分析的索力传感器优化布置方法。该方法以斜拉索索力对结构损伤的灵敏度为基础,利用遗传算法来确定识别斜拉桥结构损伤所需要索力传感器的最小数目及其布置位置,并且在确定遗传算法初始种群和约束条件时充分考虑工程经验和索力传感器布置习惯。将所提方法应用于裕溪河特大桥数值模型,实现了以损伤识别为目标的斜拉桥索力传感器优化布置,并讨论了灵敏度阈值对传感器优化布置结果的影响。

     

    Abstract: At present, the layout plan of cable force sensors for cable-stayed bridges usually selects different specifications of cables and cables with large cable forces or significant stress amplitude changes for monitoring, lacking a scientific method of cable force sensor placement. This study proposes an optimal cable force sensor placement method for long cable-stayed bridges based on sensitivity analysis, aiming to identify the structural damage in cable-stayed bridges. The proposed method is based on the sensitivity analysis of cable force to structural damage, and a genetic algorithm is used to obtain the minimum number and placement position of cable force sensors that required to identify structural damage in cable-stayed bridges. In addition, engineering experience and sensor placement habits are fully considered when determining the initial population and constraint condition of genetic algorithm. The proposed method is applied to the numerical model of the Yuxi River Bridge, and the optimal cable force sensor placement for cable-stayed bridges with the target of damage identification is realized. Moreover, the influence of sensitivity threshold on the optimal placement of sensors is discussed.

     

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