Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network

Multi-Feature Extraction-Based Defect Recognition of Foundation Pile under Layered Soil Condition Using Convolutional Neural Network

If the layer of soil surrounding a pile is not taken into account during the engineering detection process, the velocity-time curve might show asymptotic diameter shrinkage or diameter expanding features, which would alter the interpretation of the test findings. In this study, we suggest combining...

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Bibliographic Details
Main Authors: Chuan-Sheng Wu, Tian-Qi Hao, Ling-Ling Qi, De-Bing Zhuo, Zhen-Yang Feng, Jian-Qiang Zhang, Yang-Xia Peng
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
layered soil
multi-features extraction
defect recognition
numerical simulation
convolutional neural network (CNN)
Online Access:https://www.mdpi.com/2076-3417/12/19/9840

Internet

https://www.mdpi.com/2076-3417/12/19/9840

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