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Application of clan member signal method in structural damage detection
  • ISSN号:1671-3664
  • 期刊名称:《地震工程与工程振动:英文版》
  • 时间:0
  • 分类:TU312.3[建筑科学—结构工程]
  • 作者机构:[1]Institute of Engineering Mechanics, China Earthquake Administration, Harbin 150080, China, [2]Dept of Civil andEnvironmental Engineering, University of Illinois at Urbana-Champaign, USA
  • 相关基金:Supported by: Chinese Ministry of Science and Technology and National Natural Science Foundation Under Grant No. 2006DFB71680Acknowledgement This paper is part of the collaborative research program on structural health monitoring between China and United States supported by Chinese Ministry of Science and Technology and National Science Foundation (grant 2006DFB71680).
中文摘要:

在大多数情况中,一本参考书为 structuralhealth 诊断是必要的,是众所周知的,并且为给定的结构获得如此的一本参考书是很困难的。在 thispaper,一个氏族成员信号方法(CMSM ) 在由组组成的结构为使用被建议(或氏族) 有一样的几何学,即,一样的生气的节和长度,和 identicalboundary 条件。在 anevent 以后在一个氏族在任何 undamaged 成员上测量的信号能在氏族为任何另外的成员被用作引用,这被期望。验证 applicabilityof 建议方法,钢捆绑模型被测试,结果证明 CMSM 是在在由相同苗条成员组成的结构检测本地损坏的 veryeffective。

英文摘要:

It is well known that in most cases, a reference is necessary for structural health diagnosis, and it is very difficult to obtain such a reference for a given structure. In this paper, a clan member signal method (CMSM) is proposed for use in structures consisting of groups (or clans) that have the same geometry, i.e., the same cross section and length, and identical boundary conditions. It is expected that signals measured on any undamaged member in a clan after an event could be used as a reference for any other members in the clan. To verify the applicability of the proposed method, a steel truss model is tested and the results show that the CMSM is very effective in detecting local damage in structures composed of identical slender members.

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期刊信息
  • 《地震工程与工程振动:英文版》
  • 主管单位:中国地震局
  • 主办单位:中国地震局工程力学研究所
  • 主编:齐霄斋
  • 地址:哈尔滨学府路9号
  • 邮编:150080
  • 邮箱:
  • 电话:0451-86652649
  • 国际标准刊号:ISSN:1671-3664
  • 国内统一刊号:ISSN:23-1496/P
  • 邮发代号:14-247
  • 获奖情况:
  • 国内外数据库收录:
  • 美国工程索引,美国剑桥科学文摘,美国科学引文索引(扩展库),英国科学文摘数据库
  • 被引量:232