Research on three-dimensional cavity shape identification in concrete structures based on machine learning using hammering response data

Shimada, Masaya; Kurahashi, Takahiko; Murakami, Yuki; Ikeda, Fujio; Ihara, Ikuo

doi:10.1299/jsmehs.2021.58.e025

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2024

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“…Generally, the damage identification method based on mathematical model is the optimization of structural parameters. There are various optimization algorithms [2,3], but these algorithms consume time and cannot realize real-time identification of structural damage. In addition, for cases with many degrees of freedom, the results can be unstable.…”

Section: Introductionmentioning

confidence: 99%

Research on Damage Detection of Civil Structures Based on Machine Learning of Multiple Vegetation Index Time Series

2024

Teh. vjesn.

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On the basis of analyzing the natural frequency of the structure, the identification quantity of each process is constructed with modal parameters and input into the machine learning as characteristic parameters to realize the damage identification. By extracting the median curve of vegetation index time series after 5G filtering in the damaged area of typical civil structures, and comparing it with the actual growth curve of crops in the area, the vegetation index time series monitoring model was constructed, and 10 was selected as the best threshold. The accuracy of the result is verified, and the iteration time is 0.18 hours. A damage detection method based on machine learning is proposed. Good prediction results are obtained for three common surface damage of concrete cracks, spalling and exposed steel bars, which verify the ability of this method to accurately identify and detect structural surface damage at pixel level.

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Section: Introductionmentioning

confidence: 99%

Research on Damage Detection of Civil Structures Based on Machine Learning of Multiple Vegetation Index Time Series

2024

Teh. vjesn.

View full text Add to dashboard Cite

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Research on three-dimensional cavity shape identification in concrete structures based on machine learning using hammering response data

Cited by 1 publication

References 0 publications

Research on Damage Detection of Civil Structures Based on Machine Learning of Multiple Vegetation Index Time Series

Research on Damage Detection of Civil Structures Based on Machine Learning of Multiple Vegetation Index Time Series

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