Study on dams health monitoring based on modal parameters

Identification methods based on modal parameters for monitoring the health condition of concrete dams and assessing their performance during the operational period have gained significant research interest due to their economic efficiency and simplicity. This study summarizes current researches in signal acquisition techniques and parameter identification methods employed in the field of dam health monitoring, including ways of data collecting, identification algorithms, and the developmental trajectory of parameter identification for dams. Additionally, future research directions for utilizing modal parameters in dam performance identification are suggested. This study provides valuable insights for the advancement of health monitoring technologies in hydraulic structures.

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Publication Details

Published
2025-01-16
DOI
https://doi.org/10.1117/12.3044923
Citations
1
Primary Topic
Dam Engineering and Safety
Type
article
Field-Weighted Citation Impact
0.95
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article

Study on dams health monitoring based on modal parameters

Yan Shi, Jiazheng Li, Wu Cai, Shihua Zhou
1 citations
Dam Engineering and Safety
0.95
article

Study on dams health monitoring based on modal parameters

Yan Shi, Jiazheng Li, Wu Cai, Shihua Zhou
article en
1 citations

Abstract

Identification methods based on modal parameters for monitoring the health condition of concrete dams and assessing their performance during the operational period have gained significant research interest due to their economic efficiency and simplicity. This study summarizes current researches in signal acquisition techniques and parameter identification methods employed in the field of dam health monitoring, including ways of data collecting, identification algorithms, and the developmental trajectory of parameter identification for dams. Additionally, future research directions for utilizing modal parameters in dam performance identification are suggested. This study provides valuable insights for the advancement of health monitoring technologies in hydraulic structures.

Changjiang Water Resources Commission (CN), Hubei Engineering University (CN)
Openalex Percentile: Top 29%
Dam Engineering and Safety
0.95
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