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- Publisher Website: 10.1142/S0219455414500576
- Scopus: eid_2-s2.0-84928586673
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Article: Damage detection of bridges using response of vehicle considering road surface roughness
Title | Damage detection of bridges using response of vehicle considering road surface roughness |
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Authors | |
Keywords | Damage detection genetic algorithm road surface roughness vehicle-bridge interaction vertical acceleration |
Issue Date | 2015 |
Publisher | World Scientific. The Journal's web site is located at http://www.worldscinet.com/ijssd/ijssd.shtml |
Citation | International Journal of Structural Stability and Dynamics, 2015, v. 15 n.3, article no. 1450057 How to Cite? |
Abstract | This paper presents a genetic algorithm based method to identify the damage of girder bridges from the response of a vehicle moving over the bridge. The continuous wavelet transform based method works when the surface is smooth but the identification becomes difficult when the road surface is rough. To deal with this problem, the identification process is formulated as an optimization problem and a guided genetic algorithm is used to search for the global optimal value. The vertical accelerations of the vehicle running over the bridge at the intact and damaged states are used to identify the occurrence and location of the damage. Frequencies of the bridge at the intact and damaged states can be extracted from these responses, from which the frequency-based method can roughly estimate the possible locations of the damage. These locations are not unique as frequencies alone are insufficient to identify the damage location. However these initial results can be used to narrow down the search region on which the genetic algorithm can focus. Numerical study shows that the strategy can identify the damage location for simply supported and continuous girder bridges even though road surface roughness and measurement noise are taken into account. |
Persistent Identifier | http://hdl.handle.net/10722/202714 |
ISSN | 2023 Impact Factor: 3.0 2023 SCImago Journal Rankings: 0.687 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | LI, Z | en_US |
dc.contributor.author | Au, FTK | en_US |
dc.date.accessioned | 2014-09-19T09:14:21Z | - |
dc.date.available | 2014-09-19T09:14:21Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | International Journal of Structural Stability and Dynamics, 2015, v. 15 n.3, article no. 1450057 | en_US |
dc.identifier.issn | 0219-4554 | - |
dc.identifier.uri | http://hdl.handle.net/10722/202714 | - |
dc.description.abstract | This paper presents a genetic algorithm based method to identify the damage of girder bridges from the response of a vehicle moving over the bridge. The continuous wavelet transform based method works when the surface is smooth but the identification becomes difficult when the road surface is rough. To deal with this problem, the identification process is formulated as an optimization problem and a guided genetic algorithm is used to search for the global optimal value. The vertical accelerations of the vehicle running over the bridge at the intact and damaged states are used to identify the occurrence and location of the damage. Frequencies of the bridge at the intact and damaged states can be extracted from these responses, from which the frequency-based method can roughly estimate the possible locations of the damage. These locations are not unique as frequencies alone are insufficient to identify the damage location. However these initial results can be used to narrow down the search region on which the genetic algorithm can focus. Numerical study shows that the strategy can identify the damage location for simply supported and continuous girder bridges even though road surface roughness and measurement noise are taken into account. | en_US |
dc.language | eng | en_US |
dc.publisher | World Scientific. The Journal's web site is located at http://www.worldscinet.com/ijssd/ijssd.shtml | en_US |
dc.relation.ispartof | International Journal of Structural Stability and Dynamics | en_US |
dc.subject | Damage detection | - |
dc.subject | genetic algorithm | - |
dc.subject | road surface roughness | - |
dc.subject | vehicle-bridge interaction | - |
dc.subject | vertical acceleration | - |
dc.title | Damage detection of bridges using response of vehicle considering road surface roughness | en_US |
dc.type | Article | en_US |
dc.identifier.email | Au, FTK: francis.au@hku.hk | en_US |
dc.identifier.authority | Au, FTK=rp00083 | en_US |
dc.identifier.doi | 10.1142/S0219455414500576 | - |
dc.identifier.scopus | eid_2-s2.0-84928586673 | - |
dc.identifier.hkuros | 238055 | en_US |
dc.identifier.eissn | 1793-6764 | - |
dc.identifier.isi | WOS:000351014400010 | - |
dc.publisher.place | Singapore | en_US |
dc.identifier.issnl | 0219-4554 | - |