登录    注册    忘记密码

详细信息

A Universal Model-Independent Algorithm for Structural Damage Localization  ( SCI-EXPANDED收录 EI收录)   被引量:2

文献类型:期刊文献

英文题名:A Universal Model-Independent Algorithm for Structural Damage Localization

作者:Yang, Q. W.[1];Du, S. G.[1];Liang, C. F.[1];Yang, L. J.[1]

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

年份:2014

卷号:100

期号:3

起止页码:223

外文期刊名:CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

收录:SCI-EXPANDED(收录号:WOS:000348257800003)、、EI(收录号:20144600211085)、Scopus(收录号:2-s2.0-84909943647)、WOS

基金:This work is supported by National Natural Science Foundation of China (11202138) and Zhejiang Province Natural Science Foundation (Y1110949).

语种:英文

外文关键词:damage localization; structural displacement variation; Sherman-Mo rrison-Woodbury formulas; stiffness matrix; spectral decomposition

外文摘要:Although the model-independent damage localization algorithms have been extensively developed in recent years, the theoretical relationship between these damage indicators and the definition of damage is not clear. Moreover the existing damage localization methods are usually dependent on the boundary conditions and the type of structure. In view of this, the paper presents a universal model-independent algorithm for structural damage localization. To this end, the explicit relationship between the damage and damage-induced displacement variation is firstly clarified by using the well-known Sherman-Morrison and Woodbury formulas. A theorem is then presented for structural damage localization. According to the theorem, the universal model-independent damage localization algorithm has been concluded and verified in some common structures. Presented in this article also can be seen as a theoretical proof of the existing non model methods for structural damage localization. It has been shown that the presented algorithm may be useful in the long term health monitoring and the damage localization.

参考文献:

正在载入数据...

版权所有©绍兴文理学院 重庆维普资讯有限公司 渝B2-20050021-8
渝公网安备 50019002500408号 违法和不良信息举报中心