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Conference Paper: Damage detection based on mode shapes of a girder bridge constructed from responses of a moving vehicle under impact excitation

TitleDamage detection based on mode shapes of a girder bridge constructed from responses of a moving vehicle under impact excitation
Authors
KeywordsDamage detection
Impact excitation
Measurement noise
Mode shapes
Moving vehicle
Road surface roughness
Vehicle-bridge interaction
Issue Date2016
PublisherSPIE - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2
Citation
The 10th Health Monitoring of Structural and Biological Systems Meeting, Las Vegas, NV., 21-24 March 2016. In Conference Proceedings, 2016, v. 9805, article no. 980507, 10 pp. How to Cite?
AbstractThe vibration mode shapes are often used to identify damage of bridges because the mode shapes are not only important modal properties but also sensitive to damage. However, the key issue is how to conveniently obtain the mode shapes of a bridge in service. Traditional methods invariably require installation of instruments on the bridge for collection of dynamic responses for constructing mode shapes, which are both costly and inconvenient. Therefore a method is developed to construct the mode shapes of simply supported bridges based on Hilbert Transform using only vehicle acceleration response for identification of the location of damage. Firstly, an algorithm is devised to construct the mode shapes by using the dynamic responses extracted from a moving vehicle under impact excitation. Then, based on these intermediate results, the coordinate modal assurance criterion in conjunction with suitable wavelets is used to identify the location of damage. Compared with the traditional methods, the proposed method uses only the information from the moving vehicle. Moreover, additional impact excitation on the vehicle helps to excite the bridge. This helps to improve the accuracy by overcoming the adverse effects of measurement noise and road surface roughness, which leads to high accuracy of damage detection. To verify the feasibility of the proposed method, some numerical studies have been carried out to investigate the effects of measurement noise, road surface roughness and multiple locations of damage on the accuracy of results. © 2016 SPIE.
DescriptionProc. SPIE 9805 entitled: Health Monitoring of Structural and Biological Systems 2016
Persistent Identifierhttp://hdl.handle.net/10722/235307
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorQi, Z-
dc.contributor.authorAu, FTK-
dc.date.accessioned2016-10-14T13:52:29Z-
dc.date.available2016-10-14T13:52:29Z-
dc.date.issued2016-
dc.identifier.citationThe 10th Health Monitoring of Structural and Biological Systems Meeting, Las Vegas, NV., 21-24 March 2016. In Conference Proceedings, 2016, v. 9805, article no. 980507, 10 pp.-
dc.identifier.isbn978-151060046-1-
dc.identifier.issn0277-786X-
dc.identifier.urihttp://hdl.handle.net/10722/235307-
dc.descriptionProc. SPIE 9805 entitled: Health Monitoring of Structural and Biological Systems 2016-
dc.description.abstractThe vibration mode shapes are often used to identify damage of bridges because the mode shapes are not only important modal properties but also sensitive to damage. However, the key issue is how to conveniently obtain the mode shapes of a bridge in service. Traditional methods invariably require installation of instruments on the bridge for collection of dynamic responses for constructing mode shapes, which are both costly and inconvenient. Therefore a method is developed to construct the mode shapes of simply supported bridges based on Hilbert Transform using only vehicle acceleration response for identification of the location of damage. Firstly, an algorithm is devised to construct the mode shapes by using the dynamic responses extracted from a moving vehicle under impact excitation. Then, based on these intermediate results, the coordinate modal assurance criterion in conjunction with suitable wavelets is used to identify the location of damage. Compared with the traditional methods, the proposed method uses only the information from the moving vehicle. Moreover, additional impact excitation on the vehicle helps to excite the bridge. This helps to improve the accuracy by overcoming the adverse effects of measurement noise and road surface roughness, which leads to high accuracy of damage detection. To verify the feasibility of the proposed method, some numerical studies have been carried out to investigate the effects of measurement noise, road surface roughness and multiple locations of damage on the accuracy of results. © 2016 SPIE.-
dc.languageeng-
dc.publisherSPIE - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml?WT.svl=mddp2-
dc.relation.ispartofSPIE - International Society for Optical Engineering Proceedings-
dc.rightsSPIE - International Society for Optical Engineering Proceedings. Copyright © SPIE - International Society for Optical Engineering.-
dc.rightsCopyright notice format: Copyright 2016 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.-
dc.subjectDamage detection-
dc.subjectImpact excitation-
dc.subjectMeasurement noise-
dc.subjectMode shapes-
dc.subjectMoving vehicle-
dc.subjectRoad surface roughness-
dc.subjectVehicle-bridge interaction-
dc.titleDamage detection based on mode shapes of a girder bridge constructed from responses of a moving vehicle under impact excitation-
dc.typeConference_Paper-
dc.identifier.emailAu, FTK: francis.au@hku.hk-
dc.identifier.authorityAu, FTK=rp00083-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1117/12.2218428-
dc.identifier.scopuseid_2-s2.0-84978655799-
dc.identifier.hkuros269881-
dc.identifier.volume9805, article no. 980507-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 161130-

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