Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty
Large cable-stayed bridges utilize hundreds of stay cables. Thus, placing a sensor on every stay cable of bridges for stay cable damage identification (SCDI) is costly and, in most cases, not necessary. Optimal sensor placement is a significant and critical issue for SCDI. This paper proposes the cr...
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| Format: | Article |
| Language: | English |
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Wiley
2013-12-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/361594 |
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| author | Li-Qun Hou Xue-Feng Zhao Rui-Cong Han |
| author_facet | Li-Qun Hou Xue-Feng Zhao Rui-Cong Han |
| author_sort | Li-Qun Hou |
| collection | DOAJ |
| description | Large cable-stayed bridges utilize hundreds of stay cables. Thus, placing a sensor on every stay cable of bridges for stay cable damage identification (SCDI) is costly and, in most cases, not necessary. Optimal sensor placement is a significant and critical issue for SCDI. This paper proposes the criteria for sensor quantity and location optimization for SCDI on the basis of the concept of damage identification reliability index ( DIRI ) under uncertainty. Random elimination (RE) algorithm and heuristic random elimination (HRE) algorithm are proposed to solve the sensor quantity optimization calculation problem. Multistage global optimization (MGO) algorithm is also proposed to solve the sensor location optimization calculation problem. A case study is conducted to evaluate and verify the criteria and algorithms. Results indicate that the HRE algorithm can provide better solution with less elapsed time than the RE algorithm can in some cases, and the MGO algorithm can meet the multistage criterion for sensor location optimization and give a satisfying optimized solution. Theoretical analysis and case study results confirm that the criteria are reasonable and suitable for optimal sensor placement for SCDI. The proposed algorithms are effective and efficient for practical optimization calculation. |
| format | Article |
| id | doaj-art-173e9a2d4e0f4155bc3e040e6e15d705 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-12-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-173e9a2d4e0f4155bc3e040e6e15d7052025-08-20T03:54:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-12-01910.1155/2013/361594361594Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under UncertaintyLi-Qun Hou0Xue-Feng Zhao1Rui-Cong Han2 School of Civil Engineering and Architecture, Northeast Dianli University, Jilin 132012, China School of Civil Engineering, Dalian University of Technology, Dalian 116024, China School of Civil Engineering, Dalian University of Technology, Dalian 116024, ChinaLarge cable-stayed bridges utilize hundreds of stay cables. Thus, placing a sensor on every stay cable of bridges for stay cable damage identification (SCDI) is costly and, in most cases, not necessary. Optimal sensor placement is a significant and critical issue for SCDI. This paper proposes the criteria for sensor quantity and location optimization for SCDI on the basis of the concept of damage identification reliability index ( DIRI ) under uncertainty. Random elimination (RE) algorithm and heuristic random elimination (HRE) algorithm are proposed to solve the sensor quantity optimization calculation problem. Multistage global optimization (MGO) algorithm is also proposed to solve the sensor location optimization calculation problem. A case study is conducted to evaluate and verify the criteria and algorithms. Results indicate that the HRE algorithm can provide better solution with less elapsed time than the RE algorithm can in some cases, and the MGO algorithm can meet the multistage criterion for sensor location optimization and give a satisfying optimized solution. Theoretical analysis and case study results confirm that the criteria are reasonable and suitable for optimal sensor placement for SCDI. The proposed algorithms are effective and efficient for practical optimization calculation.https://doi.org/10.1155/2013/361594 |
| spellingShingle | Li-Qun Hou Xue-Feng Zhao Rui-Cong Han Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty International Journal of Distributed Sensor Networks |
| title | Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty |
| title_full | Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty |
| title_fullStr | Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty |
| title_full_unstemmed | Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty |
| title_short | Optimal Sensor Placement for Stay Cable Damage Identification of Cable-Stayed Bridge under Uncertainty |
| title_sort | optimal sensor placement for stay cable damage identification of cable stayed bridge under uncertainty |
| url | https://doi.org/10.1155/2013/361594 |
| work_keys_str_mv | AT liqunhou optimalsensorplacementforstaycabledamageidentificationofcablestayedbridgeunderuncertainty AT xuefengzhao optimalsensorplacementforstaycabledamageidentificationofcablestayedbridgeunderuncertainty AT ruiconghan optimalsensorplacementforstaycabledamageidentificationofcablestayedbridgeunderuncertainty |