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 |
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Sprache: | eng |
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