基于有限范围自适应卡尔曼滤波的结构损伤识别方法

A finite-horizon adaptive Kalman filter for structural damage identification

在土木结构的健康监测中,当破坏发生时能够立即对结构的损伤做出判断和评估是一项非常重要的工作。本文采用了一种基于广义卡尔曼滤波的自适应追踪技术对结构的参数进行辨识。该方法能够追踪结构的时变参数,并对结构损伤的位置、大小以及发生的时间做出判断。数值仿真的结果表明该方法对于线性和非线性结构的参数变化具有敏感性,能够有效地检测出结构的损伤。

An important objective of health monitoring systems for civil infrastructures is to identify the states of the structure and to detect the damage when it occurs. In this paper, we proposed an adaptive tracking technique, based on extended Kalman filter approach, to identify the structural parameters and their changes. The proposed technique is capable of tracking the abrupt change of structural parameters from which the event and severity of structural damages can be detected. Simulation results for tracking the parametric changes of linear and nonlinear hysteretic structures are presented to demonstrate the application and effectiveness of the proposed technique in detecting the structural damages.