Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors
dc.contributor.author | Lynch, Jerome Peter | en_US |
dc.contributor.author | Wang, Yang | en_US |
dc.contributor.author | Loh, Kenneth J. | en_US |
dc.contributor.author | Yi, Jin-Hak | en_US |
dc.contributor.author | Yun, Chung-Bang | en_US |
dc.date.accessioned | 2006-12-19T19:07:02Z | |
dc.date.available | 2006-12-19T19:07:02Z | |
dc.date.issued | 2006-12-01 | en_US |
dc.identifier.citation | Lynch, Jerome P; Wang, Yang; Loh, Kenneth J; Yi, Jin-Hak; Yun, Chung-Bang (2006). "Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors." Smart Materials and Structures. 15(6): 1561-1575. <http://hdl.handle.net/2027.42/49011> | en_US |
dc.identifier.issn | 0964-1726 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/49011 | |
dc.description.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. | en_US |
dc.format.extent | 3118 bytes | |
dc.format.extent | 1176588 bytes | |
dc.format.mimetype | text/plain | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | |
dc.publisher | IOP Publishing Ltd | en_US |
dc.title | Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Physics | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationum | Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, MI, USA | en_US |
dc.contributor.affiliationother | Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, USA | en_US |
dc.contributor.affiliationother | Coastal Engineering Research Department, Korea Ocean Research and Development Institute, Ansan, Gyeonggi, Korea | en_US |
dc.contributor.affiliationother | Department of Civil and Environmental Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/49011/2/sms6_6_008.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1088/0964-1726/15/6/008 | en_US |
dc.identifier.source | Smart Materials and Structures. | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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