空间杆系结构的单元分组及统计损伤识别方法

An element classification and statistical damage detection method for spatial frame structure

提出一种基于应变模态的空间杆系结构统计损伤识别方法。为了减少待识别单元的数量,根据相似度对所有单元进行分组,从而将结构的损伤识别分两步实行:首先识别出所有可能损伤单元的范围,然后再进行结构损伤的定位和损伤程度的估计,其中,对于较深程度的损伤,采用应变模态的修正摄动矩阵,最后采用数值仿真分析进行了验证。

Based on strain mode shapes, a statistical damage detection approach for spatial frame structures is proposed. To reduce the number of the possible damaged elements, all elements are divided into different groups based on similarity degrees. By this means, damages are detected in two steps： all the possible damaged elements are identified at first, and then damage locations and sizes are detected. Meanwhile an iterative algorithm is employed to amend the perturbation matrix when damage size is large. A numerical example is adopted to demonstrate the performance of the proposed approach.