Two-Step Indirect Static Deflection Estimation of Bridges Based on Ambient Acceleration Measurements SCIE SCOPUS

Cited 1 time in WEB OF SCIENCE Cited 2 time in Scopus
Title
Two-Step Indirect Static Deflection Estimation of Bridges Based on Ambient Acceleration Measurements
Author(s)
Yi, J. -H.; Cho, S.; Yun, C. -B.
KIOST Author(s)
Yi, Jin-Hak(이진학)
Publication Year
2013-05
Abstract
For the static deflection measurement of a bridge, which is carried out for bridge rating and load-carrying capacity evaluation, sensor inaccessibility due to the fixed reference point can cause significant inconvenience and can increase installation cost and time. Therefore, an alternative indirect static deflection estimation method is proposed utilizing finite element (FE) model updating with measured acceleration data obtained from an ambient vibration test. For fast and stable optimization during model updating, a two-step model updating approach is additionally proposed. To investigate the effects of used modal quantities and their weighting factors, several cases of extensive model updating were carried out by applying several types of data sets: using only natural frequencies, using only mode shapes, and using both of them. By simulating the load test on each of the updated models, deflections were estimated and compared with the real measured deflection data in the load test. It is concluded that the static deflection can be reasonably estimated using updated FE model which is obtained by using the measured ambient acceleration data.
ISSN
0732-8818
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/3196
DOI
10.1111/j.1747-1567.2011.00737.x
Bibliographic Citation
EXPERIMENTAL TECHNIQUES, v.37, no.3, pp.33 - 45, 2013
Publisher
WILEY-BLACKWELL
Subject
MODAL IDENTIFICATION; VIBRATION
Keywords
Civil Structures Testing; Inverse Problem Methodologies; Dynamic Testing; Model Updating and Correlation; Modal Analysis; Model Validation
Type
Article
Language
English
Document Type
Article
Publisher
WILEY-BLACKWELL
Files in This Item:
There are no files associated with this item.

qrcode

Items in ScienceWatch@KIOST are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse