Abstract
This study investigates the feasibility of utilizing vehicle accelerations both for bridge condition monitoring and for pavement roughness monitoring, so called drive-by monitoring. This approach copes with disadvantages caused by deployment and maintenance of the vibration sensors on bridges that is generally costly and time-consuming. Another aim of this study is to utilize accelerations of the vehicle for pavement roughness monitoring instead of utilizing data from an expensive sensor system. In this study, laboratory experiments are carried out to investigate feasibility of identifying pavement roughness from the acceleration of the same vehicle used in the drive-by monitoring. This study also discusses the feasibility of bridge monitoring by extracting bridge frequencies from vehicle acceleration. Observations from the laboratory experiment showed the feasibility of detecting the damage of bridge. The roadway surface profile paved on the experimental bridge was also successfully identified although the accuracy was affected by the vehicle speed.
Original language | English |
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Title of host publication | Proceedings of the 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure (SHMII-8) |
Editors | Tommy Chan, Saeed Mahini |
Publisher | International Society for Structural Health Monitoring of Intelligent Infrastructure, ISHMII |
Pages | 499-508 |
Volume | 1 |
ISBN (Electronic) | 9781510864573 |
Publication status | Published - 05 Dec 2017 |
Event | 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 - Queensland University of Technology, Brisbane, Australia Duration: 05 Dec 2017 → 08 Dec 2017 https://shmii2017.org/ |
Publication series
Name | International Conference on Structural Health Monitoring of Intelligent Infrastructure: Proceedings |
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Conference
Conference | 8th International Conference on Structural Health Monitoring of Intelligent Infrastructure, SHMII 2017 |
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Abbreviated title | SHMII8 |
Country/Territory | Australia |
City | Brisbane |
Period | 05/12/2017 → 08/12/2017 |
Internet address |