Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology
This paper presents a bridge condition assessment approach under moving loads with multi-sensor measurements and vibration phase technology. The phase trajectories of multi-sensor responses are obtained and a damage index is defined as the separated distance between the trajectories of undamaged and...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
2017
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| Online Access: | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/70039 |
| _version_ | 1848762199249518592 |
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| author | Hao, Hong Zhang, W. Li, Jun Ma, H. |
| author_facet | Hao, Hong Zhang, W. Li, Jun Ma, H. |
| author_sort | Hao, Hong |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This paper presents a bridge condition assessment approach under moving loads with multi-sensor measurements and vibration phase technology. The phase trajectories of multi-sensor responses are obtained and a damage index is defined as the separated distance between the trajectories of undamaged and damaged structures to identify the damage existence and location. The damage will induce the local structural stiffness change, and the distance between the corresponding points on those two trajectories of undamaged and damaged beams when a moving load travels across the damaged location will also change. Experimental studies demonstrate the proposed approach can be used to successfully identify the shear connection failure in a composite bridge model. |
| first_indexed | 2025-11-14T10:43:46Z |
| format | Journal Article |
| id | curtin-20.500.11937-70039 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:43:46Z |
| publishDate | 2017 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-700392022-09-06T04:49:13Z Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology Hao, Hong Zhang, W. Li, Jun Ma, H. This paper presents a bridge condition assessment approach under moving loads with multi-sensor measurements and vibration phase technology. The phase trajectories of multi-sensor responses are obtained and a damage index is defined as the separated distance between the trajectories of undamaged and damaged structures to identify the damage existence and location. The damage will induce the local structural stiffness change, and the distance between the corresponding points on those two trajectories of undamaged and damaged beams when a moving load travels across the damaged location will also change. Experimental studies demonstrate the proposed approach can be used to successfully identify the shear connection failure in a composite bridge model. 2017 Journal Article http://hdl.handle.net/20.500.11937/70039 10.1007/978-3-319-62274-3_7 http://purl.org/au-research/grants/arc/DE140101741 restricted |
| spellingShingle | Hao, Hong Zhang, W. Li, Jun Ma, H. Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title | Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title_full | Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title_fullStr | Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title_full_unstemmed | Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title_short | Bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| title_sort | bridge condition assessment under moving loads using multi-sensor measurements and vibration phase technology |
| url | http://purl.org/au-research/grants/arc/DE140101741 http://hdl.handle.net/20.500.11937/70039 |