李宏男

个人信息Personal Information

教授

博士生导师

硕士生导师

性别:男

毕业院校:中国地震局工程力学研究所

学位:博士

所在单位:土木工程系

学科:结构工程. 防灾减灾工程及防护工程

扫描关注

论文成果

当前位置: 中文主页 >> 科学研究 >> 论文成果

Load dependent sensor placement method: Theory and experimental validation

点击次数:

论文类型:期刊论文

发表时间:2012-08-01

发表刊物:MECHANICAL SYSTEMS AND SIGNAL PROCESSING

收录刊物:SCIE、EI

卷号:31

页面范围:217-227

ISSN号:0888-3270

关键字:Sensor placement; Structural health monitoring; Load dependent sensor placement method; Effective Independence; Modal identification

摘要:A structural health monitoring system consists of permanently installed sensors to collect structural information, and these sensors are required to be placed at 'good' positions for damage identification. Conventional sensor placement methods make use of dynamic characteristics of a structure, i.e., mode shapes and natural frequencies, to determine optimal sensor positions. However, these methods do not take into account actual loading conditions and structural responses. In fact, participation degree of interested mode shapes in structural responses is of importance in both sensor placement and subsequent modal identification. In the work, a novel load dependent sensor placement method is developed by taking into consideration both structural dynamic characteristics and actual loading conditions. The objective of the proposed method is to achieve a nearly global unbiased estimate of modal coordinates, and consequently best modal and damage identification. It selects optimal sensor positions by subspace approximation of actual structural responses with the linear space spanned by interested mode shapes. Experiments are conducted on a six-story truss structure to validate the proposed load dependent sensor placement method. It is found that changing load conditions have to be accounted for when the issue of sensor placement is seriously examined. Furthermore, experiments have shown that better mode shape identification can be achieved at sensor positions chosen by the proposed novel load dependent sensor placement method than by conventional techniques. (C) 2012 Elsevier Ltd. All rights reserved.