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A Sensitivity Based Method for Sensor Placement Optimization of Bridges

机译:基于灵敏度的桥梁传感器布置优化方法

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摘要

Damage detection is the core technique of bridge health monitoring systems. Mostly, the detection is based on comparison of initial signatures (frequency, mode shapes and so on) of intact bridge with that of damaged bridge. The damage identification technique for bridge structure by vibration mode analysis is based on the precision of modal experiment. In order to identify the damage in time, the problem of sensor placement is very important. The number of the sensors and their settled locations determine the accuracy of test results. So how to distribute sensors reasonably to get the appropriate information about the changes of structure state of the bridge is the key for the health monitoring to large span bridges.Taking an actual long span Bridge as an example and calculating the modal date by the finite element model, a method based on the eigenvector sensitivity, the EI (Effective Independence) method and MAC (Modal Assurance Criterion) method are used to optimize the placement procedure of the sensors in this paper. The numerical example shows that the eigenvector sensitivity based method is an effective method for optimal sensor placement to identify vibration characteristics of the bridges.
机译:损伤检测是桥梁健康监测系统的核心技术。通常,检测基于完整桥与损坏桥的初始特征(频率,模式形状等)的比较。振动模态分析法用于桥梁结构损伤识别技术是基于模态试验的精度。为了及时发现损坏,传感器放置的问题非常重要。传感器的数量及其固定的位置决定了测试结果的准确性。因此,如何合理地分配传感器以获取有关桥梁结构状态变化的适当信息,是大跨度桥梁健康监测的关键。 以一个实际的大跨度桥梁为例,并通过有限元模型计算模态数据,采用了基于特征向量灵敏度,EI(有效独立性)方法和MAC(模态保证准则)方法的优化布置程序。本文中的传感器。数值示例表明,基于特征向量灵敏度的方法是一种有效的方法,可以优化传感器位置,以识别桥梁的振动特性。

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