文献类型：期刊文献

英文题名：Residual Mode Vector-Based Structural Damage Identification with First-Order Modal Information

作者：Luo, Shuai[1];Zhuang, Zhenxin[1];Wang, Wei[1];Jiang, Ping[1]

机构：[1]Shaoxing Univ, Sch Civil Engn, Shaoxing 312000, Zhejiang, Peoples R China

年份：2021

卷号：2021

外文期刊名：ADVANCES IN MATERIALS SCIENCE AND ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:000674333100001)、、EI(收录号：20212910648161)、Scopus(收录号：2-s2.0-85110136579)、WOS

语种：英文

外文关键词：Stiffness - Stiffness matrix - Structural analysis - Vectors

外文摘要：Damage identification based on the change of dynamic properties is an issue worthy of attention in structure safety assessment, nevertheless, only a small number of discontinuous members in existing structure are damaged under service condition, and the most remaining members are in good condition. According to this feather, we developed an effective damage location and situation assessment algorithm based on residual mode vector with the first mode information of targeted structure, which utilized the quantitative relationship between first natural modes of global structure with the change of the element stiffness. Firstly, the element damage location is determined with exploitation of the sparseness of element stiffness matrices based on the discontinuity of damaged members. Then, according to the distribution characteristics of the corresponding residual mode vector, the nodal equilibrium equation about the damage parameter is established based on the residual mode vector, and the damage coefficients of structural elements are evaluated with the proposed equations. Two numerical examples are given to verify the proposed algorithm. The results showed that the proposed damage identification method is consistent with the preset damage. It can even accurately identify large-degree damages. The proposed algorithm only required the first-order modal information of the target structures and held few requirements of analysis resource; hence when compared with existing methods, it has obvious advantages for structural damage identification.