Load dependent sensor placement method: Theory and experimental validation

doi:10.1016/j.ymssp.2012.04.014

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Load dependent sensor placement method: Theory and experimental validation

2012-08-01

PRE

Dongsheng Li *

Hong‐Nan Li

Claus‐Peter Fritzen

DOI：10.1016/j.ymssp.2012.04.014

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Abstract

En 中文

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.

Keywords:

Sensor placement

Structural health monitoring

Load dependent sensor placement method

Effective Independence

Modal identification

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