Cable-stayed bridge sensor optimization based on modal information incremental matrix of the covariance matrix

Xintong Huo; Lei Wang; Guangzhen Qu

doi:10.1117/12.2660345

18 April 2023 Cable-stayed bridge sensor optimization based on modal information incremental matrix of the covariance matrix

Xintong Huo, Lei Wang, Guangzhen Qu

Author Affiliations +

Proceedings Volume 12486, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023; 124861T (2023) https://doi.org/10.1117/12.2660345
Event: SPIE Smart Structures + Nondestructive Evaluation, 2023, Long Beach, California, United States

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Abstract

Sensor optimization is an important part of Structural Health Monitoring System (SHM), as the use of different number of modes and the number of sensors have a great impact on the results of sensor optimization, reasonable modality number plays a key role in sensor optimization. But the selection of sensor number and modality mostly depends on experience and economy. In this paper, the method of determining the number of target modes based on modal information incremental matrix of the covariance matrix is studied, and the sensor optimization is carried out by taking a laboratory cable-stayed bridge model as an example, and the results are compared with the method of determining the number of target modes based on the rate of change of the Fisher information matrix. The results show that the method of modal information incremental matrix based on the covariance matrix can accurately calculate the number of target modes required for the optimization of cable-stayed bridge sensors.

Citation Download Citation

Xintong Huo, Lei Wang, and Guangzhen Qu "Cable-stayed bridge sensor optimization based on modal information incremental matrix of the covariance matrix", Proc. SPIE 12486, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2023, 124861T (18 April 2023); https://doi.org/10.1117/12.2660345

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