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[1] ZHOU Guangdong, LONG Wei, SHEN Anbin, ZHANG Jianing, et al. Robustness-oriented optimal sensor placement for structural monitoring considering sensor failures [J]. Journal of Southeast University (English Edition), 2025, 41 (3): 286-294. [doi:10.3969/j.issn.1003-7985.2025.03.004]
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Robustness-oriented optimal sensor placement for structural monitoring considering sensor failures()
考虑传感器失效的鲁棒性结构监测传感器优化布设
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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
41
Issue:
2025 3
Page:
286-294
Research Field:
Traffic and Transportation Engineering
Publishing date:
2025-09-11

Info

Title:
Robustness-oriented optimal sensor placement for structural monitoring considering sensor failures
考虑传感器失效的鲁棒性结构监测传感器优化布设
Author(s):
ZHOU Guangdong1, LONG Wei2, SHEN Anbin2, ZHANG Jianing1, YANG Jiayi1
1.College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China
2.China Railway Communications Investment Group Co., Ltd., Nanning 530219, China
周广东1, 龙伟2, 沈安斌2, 张佳宁1, 杨佳怡1
1.河海大学土木与交通学院， 南京 210098
2.中铁交通投资集团有限公司， 南宁 530219
Keywords:
structural health monitoring (SHM);  optimal sensor placement (OSP);  long-span bridges;  modal parameter identification;  firefly algorithm
结构健康监测; 传感器优化布设; 大跨桥梁; 模态参数识别; 萤火虫算法
PACS:
U446
DOI:
10.3969/j.issn.1003-7985.2025.03.004
Abstract:
Conventional optimal sensor placement (OSP) methods employ the premise that all sensors work perfectly during long-term structural monitoring. However, this premise is often difficult to fulfill in real applications due to poor manufacturing and material aging of sensors, human damage, and electromagnetic interference. This paper presents a robustness-oriented OSP method that considers sensor failures. The OSP problem is designed with consideration of sensor failures to ensure that both complete vibration data collected by all sensors and incomplete vibration data caused by individual sensor failures can accurately identify structural modal parameters. A dispersion-aggregation firefly algorithm (DAFA), which is derived from the basic firefly algorithm, has been proposed to solve this complicated optimization problem. The dispersion and aggregation operators are designed to prevent falling into local optima and to rapidly converge to the global optima. The proposed methodology is confirmed by extracting the robust sensor configuration for a long-span cable-stayed bridge. The robustness of the optimal sensor configurations against sensor failure is thoroughly explored, and the performance of the proposed DAFA is extensively examined.
已有传感器优化布设方法假定所有传感器在结构长期监测期间均能正常工作，但由于生产质量不稳定、材料老化、人为损坏和电磁干扰等因素，这一假定在实际应用中很难满足。本文提出了一种考虑传感器失效的鲁棒性结构监测传感器优化布设方法。首先，建立了考虑传感器失效鲁棒性的传感器优化布设数学模型，以确保所有传感器监测的完整振动数据和个别传感器失效造成的不完整振动数据都能可靠地识别结构模态参数。然后，提出了一种基于基本萤火虫算法的分散聚合萤火虫算法，用于求解最优传感器布设位置。设计了分散算子和聚集算子，用于避免陷入局部最优和快速收敛到全局最优。最后，采用一座大跨度斜拉桥验证了所提方法的有效性，讨论了最优传感器布设方案的鲁棒性，并全面分析了所提分散聚合萤火虫算法的性能。

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Memo

Memo:
Received 2024-10-19,Revised 2025-04-06.
Biography:Zhou Guangdong (1982—), male, doctor, professor, zhougd@hhu.edu.cn.
Foundation items:The National Natural Science Foundation of China (No.51978243, 52578360).
Citation:ZHOU Guangdong,LONG Wei,SHEN Anbin,et al.Robustness-oriented optimal sensor placement for structural monitoring considering sensor failures[J].Journal of Southeast University (English Edition),2025,41(3):286-294.DOI:10.3969/j.issn.1003-7985.2025.03.004.DOI:10.3969/j.issn.1003-7985.2025.03.004
Last Update: 2025-09-20