Optimal sensor placement for ensemble-based data assimilation using gradient-weighted class activation mapping

Xu, Zhaoyue; Wang, Shizhao; Zhang, Xin-Lei; He, Guowei

doi:10.1016/j.jcp.2024.113224

Journal of Computational Physics

2024

DOI: 10.1016/j.jcp.2024.113224

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Optimal sensor placement for ensemble-based data assimilation using gradient-weighted class activation mapping

Zhaoyue Xu,

Shizhao Wang,

Xin-Lei Zhang

et al.

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Cited by 1 publication

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Research on Arrangement of Measuring Points for Modal Identification of Spatial Grid Structures

Zhou,

Wu,

Sun

et al. 2024

Buildings

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In structural health monitoring, because the number of sensors used is far lower than the number of degrees of freedom of the structure being monitored, the optimization problem of the location and number of sensors in the structures is becoming more and more prominent. However, spatial grid structures are complex and diverse, and their dynamic characteristics are complex. It is difficult to accurately measure their vibration information. Therefore, an appropriate optimization method must be used to determine the optimal positioning of sensor placement. Aiming at the problem that spatial grid structures have many degrees of freedom and the fact that it is difficult to obtain complete vibration information, this paper analyzed the typical EI method, MKE method, and EI-MKE method in the arrangement of the measuring points, and it was verified that the EI method was more suitable for the vibration detection of spatial grid structures through the example of a plane truss and spatial grid structures. Measuring points under the assumption of structural damage were explored, and it was proposed that there might have been a stable number of measuring points that could cover the possible vibration mode changes in the structures. At the same time, combined with the three-level improved Guyan recursive technique, in order to obtain better complete modal parameters, the influence of the number of measuring points on the complete vibration mode information was studied. It was concluded that MACd was better than MACn as the quantitative target.

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Research on Arrangement of Measuring Points for Modal Identification of Spatial Grid Structures

Zhou,

Wu,

Sun

et al. 2024

Buildings

View full text Add to dashboard Cite

show abstract

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Optimal sensor placement for ensemble-based data assimilation using gradient-weighted class activation mapping

Cited by 1 publication

References 52 publications

Research on Arrangement of Measuring Points for Modal Identification of Spatial Grid Structures

Research on Arrangement of Measuring Points for Modal Identification of Spatial Grid Structures

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