Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Predicting standard penetration test N-value from cone penetration test data using artificial neural networks

Standard Penetration Test (SPT) and Cone Penetration Test (CPT) are the most frequently used field tests to estimate soil parameters for geotechnical analysis and design. Numerous soil parameters are related to the SPT N-value. In contrast, CPT is becoming more popular for site investigation and geo...

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Bibliographic Details
Main Author: Bashar Tarawneh
Format: Article
Language:English
Published: Elsevier 2017-01-01
Series:Geoscience Frontiers
Subjects:
SPT
CPT
Correlation
Artificial neural network
Sand
Silt
Online Access:http://www.sciencedirect.com/science/article/pii/S1674987116300147

Internet

http://www.sciencedirect.com/science/article/pii/S1674987116300147

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