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Structural damage identification using test static data based on grey system theory
作者姓名:陈孝珍  朱宏平  陈传尧
作者单位:School of Civil Engineering & Mechanics, Huazhong University of Science & Technology,Wuhan 430074, China
基金项目:国家自然科学基金,教育部高等学校博士学科点专项科研基金
摘    要:INTRODUCTION Structural damage detection technique addresses the problem of how to locate and detect damage that occurred in a structure by using the observed changes of its dynamic and static characteristics. In recent years, damage assessment of structure has drawn wide attention from various engineering fields. Gen-erally, the existing approaches proposed in this area can be clarified into two major categories: the dy-namic identification methods using dynamic test data and the static …

关 键 词:结构损伤  鉴定方法  灰色关联系数  静态测试数据  迭代估计
收稿时间:2004-03-03
修稿时间:2004-08-05

Structural damage identification using test static data based on grey system theory
Chen Xiao-zhen,Zhu Hong-ping,Chen Chuan-yao.Structural damage identification using test static data based on grey system theory[J].Journal of Zhejiang University Science,2005,6(8):790-796.
Authors:Chen Xiao-zhen  Zhu Hong-ping  Chen Chuan-yao
Institution:1.School of Civil Engineering & Mechanics,Huazhong University of Science & Technology,Wuhan,China
Abstract:A new structural damage identification method using limited test static displacement based on grey system theory is proposed in this paper. The grey relation coefficient of displacement curvature is defined and used to locate damage in the structure, and an iterative estimation scheme for solving nonlinear optimization programming problems based on the quadratic programming technique is used to identify the damage magnitude. A numerical example of a cantilever beam with single or multiple damages is used to examine the capability of the proposed grey-theory-based method to localize and identify damages. The factors of measurement noise and incomplete test data are also discussed. The numerical results showed that the damage in the structure can be localized correctly through using the grey-related coefficient of displacement curvature, and the damage magnitude can be identified with a high degree of accuracy, regardless of the number of measured displacement nodes. This proposed method only requires limited static test data, which is easily available in practice, and has wide applications in structural damage detection.
Keywords:Damage identification  Grey relation coefficient  Static test data
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