Conference Proceedings

Damage detection in large-scale laboratory bridge models

JS Owen, N Haritos, JM DulieuBarton (ed.), MJ Brennan (ed.), KM Holford (ed.), K Worden (ed.)

DAMAGE ASSESSMENT OF STRUCTURES, PROCEEDINGS | TRANS TECH PUBLICATIONS LTD | Published : 2003

Abstract

This paper briefly outlines the rationale for structural health monitoring as an integral component of bridge management systems. Two different approaches, system identification and statistical pattern recognition, are summarised and applied in turn to vibration data collected from three scale model reinforced concrete bridges. The results show that the system identification paradigm can successfully locate and quantify the damage to the decks when they are loaded to incipient collapse, especially when experience is used to determine the parameters to adopt in the FE updating procedure. Although the statistical pattern recognition approach could neither quantify nor locate damage, a simple A..

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University of Melbourne Researchers