A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The Method Based on BP Neural Network of Pile Foundation Defect Detection
This paper through indoor model test get the axial speed curve and waveform data when the pile top under transient excitation force. Use the method of reverberation ray matrix program to verify the correctness of the velocity curve. The data input to the BP neural network and identification data. It showed that the BP neural network can judge the defect type of pile foundation accurately.
The Method Based on BP Neural Network of Pile Foundation Defect Detection
This paper through indoor model test get the axial speed curve and waveform data when the pile top under transient excitation force. Use the method of reverberation ray matrix program to verify the correctness of the velocity curve. The data input to the BP neural network and identification data. It showed that the BP neural network can judge the defect type of pile foundation accurately.
The Method Based on BP Neural Network of Pile Foundation Defect Detection
Applied Mechanics and Materials ; 687-691 ; 952-956
2014-11-27
5 pages
Article (Journal)
Electronic Resource
English
Pile foundation defect detection and repair method for cast-in-situ bored pile
| European Patent Office | 2015
Method for nondestructive detection of defect of bridge pile foundation
| European Patent Office | 2020
Foundation pile foundation detection device for high pile
| European Patent Office | 2021