基于EKF和模态坐标转换的结构损伤识别方法

摘要:

本文在扩展卡尔曼滤波算法的基础上,结合模态坐标变换,以模态坐标初始值和结构单元损伤参数构建状态向量,提出一种改进的扩展卡尔曼滤波(EKF)算法,可成功识别结构参数。通过数值算例的识别结果,证明本文方法能够对结构损伤参数有效识别。

Abstract:

Based on the extended Kalman filter algorithm and combined with modal coordinate transformation, this paper constructs the state vector from the initial value of modal coordinates and structural element damage parameters, and proposes an improved extended Kalman filter (EKF) algorithm, which can successfully identify structural parameters. The identification results of numerical examples show that the proposed method can effectively identify structural damage parameters.