教授 博士生导师 硕士生导师
任职 : 大跨拱桥关键技术教育部工程研究中心常务副主任、西部陆海新通道发展研究院常务副院长
性别: 男
出生日期: 1986-02-26
毕业院校: 大连理工大学
学位: 博士
所在单位: 土木工程系
学科: 结构工程. 桥梁与隧道工程
电子邮箱: anyh@dlut.edu.cn
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论文类型: 期刊论文
发表时间: 2014-08-01
发表刊物: SMART STRUCTURES AND SYSTEMS
收录刊物: SCIE、Scopus
卷号: 14
期号: 2
页面范围: 105-128
ISSN号: 1738-1584
关键字: stochastic damage locating vector (SDLV) method; sensor layout; damage detection; steel-truss bridge; damage localization; structural health monitoring
摘要: The stochastic damage locating vector (SDLV) method has been studied extensively in recent years because of its potential to determine the location of damage in structures without the need for measuring the input excitation. The SDLV method has been shown to be a particularly useful tool for damage localization in steel truss bridges through numerical simulation and experimental validation. However, several issues still need clarification. For example, two methods have been suggested for determining the observation matrix C identified for the structural system; yet little guidance has been provided regarding the conditions under which the respective formulations should be used. Additionally, the specific layout of the sensors to achieve effective performance with the SDLV method and the associated relationship to the specific type of truss structure have yet to be explored. Moreover, how the location of truss members influences the damage localization results should be studied. In this paper, these three issues are first investigated through numerical simulation and subsequently the main results are validated experimentally. The results of this paper provide guidance on the effective use of the SDLV method.