文献类型：期刊文献

英文题名：Model-Free Method for Damage Localization of Grid Structure

作者：Yang, Qiuwei[1];Wang, Chaojun[1];Li, Na[1];Luo, Shuai[1];Wang, Wei[1]

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

年份：2019

卷号：9

期号：16

外文期刊名：APPLIED SCIENCES-BASEL

收录：SCI-EXPANDED(收录号：WOS:000484444100046)、、Scopus(收录号：2-s2.0-85070946110)、WOS

基金：This research was funded by the National Natural Science Foundation of China (Grant numbers [11202138, 41772311]) and the Zhejiang Provincial Natural Science Foundation of China (Grant number [LY17E080016]).

语种：英文

外文关键词：grid structure; damage identification; Sherman-Morrison-Woodbury formula; displacement difference; change rate of element length

外文摘要：A model-free damage identification method for grid structures based on displacement difference is proposed. The inherent relationship between the displacement difference and the position of structural damage was deduced in detail by the Sherman-Morrison-Woodbury formula, and the basic principle of damage localization of the grid structure was obtained. That is, except for the tensile and compressive deformations of the damaged elements, the deformations of other elements were small, and only rigid body displacements occurred before and after the structural damage. According to this rule, a method for identifying the position of the damage was proposed for the space grid structure by using the rate of change of length for each element. Taking a space grid structure with a large number of elements as an example, the elastic modulus reduction method was used to simulate the damage to the elements, and the static and dynamic test parameters were simulated respectively to obtain the difference in displacement before and after the structural damage. The rate of change of length of each element was calculated based on the obtained displacement difference, and data noise was added to the simulation. The results indicated that the element with the larger length change rate in the structure was the most likely to be damaged, and the damaged element can be accurately evaluated even in the presence of noise in data.