Identification and monitoring of bridge health from ambient vibration data

NCUIR > Engineering College > Department of Civil Engineering > journal & Dissertation > Item 987654321/49822

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/49822

Title:	Identification and monitoring of bridge health from ambient vibration data
Authors:	Liu,TY;Chiang,WL;Chen,CW;Hsu,WK;Lu,LC;Chu,TJ
Contributors:	土木工程學系
Keywords:	EMPIRICAL MODE DECOMPOSITION;HUANG SPECTRAL-ANALYSIS;SYSTEM-IDENTIFICATION;HILBERT SPECTRUM;TRANSFORM;WAVELET;SERIES;SIGNAL
Date:	2011
Issue Date:	2012-03-27 16:17:46 (UTC+8)
Publisher:	國立中央大學
Abstract:	Many bridges in Taiwan have been in use from the period that Taiwan was governed by the Japanese, over 50 years ago, which is the average ultimate usable lifetime of such structures. Three-quarters of the bridges on major highways have been in use for more than 20 years and numerous bridges on country roads have also been in use for more than 20 years. In other words, most of the bridges in Taiwan are aging and may require repair or replacement. Ambient vibration tests are utilized to measure the response of old bridges, which are difficult to equip with accelerometers. The Fourier transform method is traditionally used to gain important information about ambient vibration records. However, the development of information technology over the last 20 years has meant that there are more kinds of signal management technologies, including the wavelet and Hilbert-Huang transform (HHT) methods. In this study we investigate the characteristics of aging bridges by comparison with their structural properties. We analyze their ambient vibration, and discuss the possible influence of the frequency function. Long-term environmental impacts create many structural problems, but with traditional methods examination of bridge health is difficult. Therefore, in our HHT management system, we examine destroyed bridges. The characteristics and behavior of bridges subjected to random loading can be understood by analysis with the random decrement technique and the frequency response function method.
Relation:	JOURNAL OF VIBRATION AND CONTROL
Appears in Collections:	[Department of Civil Engineering] journal & Dissertation

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