Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm
Structural health monitoring (SHM) is essential when detecting damage in large and complex structures in order to provide a comprehensive assessment of the structural health state. Optimal sensor placement (OSP) is critical in the structural health monitoring system, which aims to use a limited numb...
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/6664188 |
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| _version_ | 1832550870633414656 |
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| author | Bo Gao Zhihui Bai Yubo Song |
| author_facet | Bo Gao Zhihui Bai Yubo Song |
| author_sort | Bo Gao |
| collection | DOAJ |
| description | Structural health monitoring (SHM) is essential when detecting damage in large and complex structures in order to provide a comprehensive assessment of the structural health state. Optimal sensor placement (OSP) is critical in the structural health monitoring system, which aims to use a limited number of sensors to obtain high-quality structural health diagnosis data. However, the current research mainly focuses on OSP for structures, without considering the values contributed by different modes to the bridge structure. In this article, an optimal sensor placement method based on initial sensor layout, using the dynamic adjustment of attenuation factor gravitational search algorithm (DGSA), is proposed. The effective modal mass participation ratio is introduced to ensure the validity of the initial data of optimal sensor placement. In view of the insufficient developmental ability of the gravitational search algorithm, the attenuation factor α adjusted dynamically aids the global search in the early iteration and the local fine search in the late iteration. The double coding method is used to apply the DGSA algorithm to OSP; taking cable-stayed bridges as an example, the feasibility of the algorithm is verified. The results show that the improved algorithm has a good optimization ability and can accurately and efficiently determine the optimal placement of sensors. |
| format | Article |
| id | doaj-art-e01a2f9766ce48bfacacb790671278c0 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-e01a2f9766ce48bfacacb790671278c02025-02-03T06:05:36ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/66641886664188Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search AlgorithmBo Gao0Zhihui Bai1Yubo Song2School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, ChinaStructural health monitoring (SHM) is essential when detecting damage in large and complex structures in order to provide a comprehensive assessment of the structural health state. Optimal sensor placement (OSP) is critical in the structural health monitoring system, which aims to use a limited number of sensors to obtain high-quality structural health diagnosis data. However, the current research mainly focuses on OSP for structures, without considering the values contributed by different modes to the bridge structure. In this article, an optimal sensor placement method based on initial sensor layout, using the dynamic adjustment of attenuation factor gravitational search algorithm (DGSA), is proposed. The effective modal mass participation ratio is introduced to ensure the validity of the initial data of optimal sensor placement. In view of the insufficient developmental ability of the gravitational search algorithm, the attenuation factor α adjusted dynamically aids the global search in the early iteration and the local fine search in the late iteration. The double coding method is used to apply the DGSA algorithm to OSP; taking cable-stayed bridges as an example, the feasibility of the algorithm is verified. The results show that the improved algorithm has a good optimization ability and can accurately and efficiently determine the optimal placement of sensors.http://dx.doi.org/10.1155/2021/6664188 |
| spellingShingle | Bo Gao Zhihui Bai Yubo Song Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm Shock and Vibration |
| title | Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm |
| title_full | Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm |
| title_fullStr | Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm |
| title_full_unstemmed | Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm |
| title_short | Optimal Three-Dimensional Sensor Placement for Cable-Stayed Bridge Based on Dynamic Adjustment of Attenuation Factor Gravitational Search Algorithm |
| title_sort | optimal three dimensional sensor placement for cable stayed bridge based on dynamic adjustment of attenuation factor gravitational search algorithm |
| url | http://dx.doi.org/10.1155/2021/6664188 |
| work_keys_str_mv | AT bogao optimalthreedimensionalsensorplacementforcablestayedbridgebasedondynamicadjustmentofattenuationfactorgravitationalsearchalgorithm AT zhihuibai optimalthreedimensionalsensorplacementforcablestayedbridgebasedondynamicadjustmentofattenuationfactorgravitationalsearchalgorithm AT yubosong optimalthreedimensionalsensorplacementforcablestayedbridgebasedondynamicadjustmentofattenuationfactorgravitationalsearchalgorithm |