Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors SCIE SCOPUS

Cited 199 time in WEB OF SCIENCE Cited 249 time in Scopus
Title
Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors
Author(s)
Lynch, Jerome P.; Wang, Yang; Loh, Kenneth J.; Yi, Jin-Hak; Yun, Chung-Bang
KIOST Author(s)
Yi, Jin-Hak(이진학)
Publication Year
2006-12
Abstract
As researchers continue to explore wireless sensors for use in structural monitoring systems, validation of field performance must be done using actual civil structures. In this study, a network of low-cost wireless sensors was installed in the Geumdang Bridge, Korea to monitor the bridge response to truck loading. Such installations allow researchers to quantify the accuracy and robustness of wireless monitoring systems within the complex environment encountered in the field. In total, 14 wireless sensors were installed in the concrete box girder span of the Geumdang Bridge to record acceleration responses to forced vibrations introduced by a calibrated truck. In order to enhance the resolution of the capacitive accelerometers interfaced to the wireless sensors, a signal conditioning circuit that amplifies and filters low-level accelerometer outputs is proposed. The performance of the complete wireless monitoring system is compared to a commercial tethered monitoring system that was installed in parallel. The performance of the wireless monitoring system is shown to be comparable to that of the tethered counterpart. Computational resources ( e. g. microcontrollers) coupled with each wireless sensor allow the sensor to estimate modal parameters of the bridge such as modal frequencies and operational displacement shapes. This form of distributed processing of measurement data by a network of wireless sensors represents a new data management paradigm associated with wireless structural monitoring.
ISSN
0964-1726
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/4818
DOI
10.1088/0964-1726/15/6/008
Bibliographic Citation
SMART MATERIALS & STRUCTURES, v.15, no.6, pp.1561 - 1575, 2006
Publisher
IOP PUBLISHING LTD
Subject
SENSING UNIT; ALGORITHMS; IDENTIFICATION
Type
Article
Language
English
Document Type
Article
Publisher
IOP PUBLISHING LTD
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