Detection of damage locations and damage steps in pile foundations using acoustic emissions with deep learning technology

The aim of this study is to propose a new detection method for determining the damage locations in pile foundations based on deep learning using acoustic emission data. First, the damage location is simulated using a back propagation neural network deep learning model with an acoustic emission data...

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Veröffentlicht in:Frontiers of Structural and Civil Engineering 2021-04, Vol.15 (2), p.318-332
Hauptverfasser: JIERULA, Alipujiang, OH, Tae-Min, WANG, Shuhong, LEE, Joon-Hyun, KIM, Hyunwoo, LEE, Jong-Won
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Sprache:eng
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