Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures-Reference-Cited by-同舟云学术

Merging Sensor Data from Multiple Temperature Scenarios for Vibration Monitoring of Civil Structures

Published:2008-03-03 Issue:2 Volume:7 Page:129-142
ISSN:1475-9217
Container-title:Structural Health Monitoring
language:en
Short-container-title:Structural Health Monitoring

Author:

Balmès Étienne¹,Basseville Michèle²,Bourquin Frédéric³,Mevel Laurent⁴,Nasser Houssein⁵,Treyssède Fabien⁶

Affiliation:

1. LMSSMAT, Ecole Centrale Paris, Grande Voie des Vignes, 92295 Châtenay-Malabry Cedex, France

2. IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France,

3. LCPC, Division for Metrology and Instrumentation, 58, bd Lefebvre, 75732 Paris Cedex 15, France

4. IRISA, Campus de Beaulieu, 35042 Rennes Cedex, France

5. Université Libre de Bruxelles, Mech. Eng. and Robotics Dept, Avenue Roosevelt 50, 1050 Brussels, Belgium and Rennes 1, University at IRISA, France

6. LCPC, Division for Metrology and Instrumentation, Route de Bouaye, BP 4192, 44341 Bouguenais Cedex, France

Abstract

The ambient temperature effect may result in limitations of vibration-based SHM approaches for civil engineering structures. This paper addresses the issue of discriminating changes in modal parameters due to damages and changes in modal parameters due to temperature effects. A nonparametric damage detection algorithm is proposed, which only assumes that several data sets are recorded on the safe structure at different and unknown temperatures, and smoothes out the temperature effect using an averaging operation.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Biophysics

Link

http://journals.sagepub.com/doi/pdf/10.1177/1475921708089823

Reference35 articles.

1. Vibration–based structural damage identification

2. Model-Aided Diagnosis of Mechanical Systems

3. The location of defects in structures from measurements of natural frequencies

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