Applying Statistical Analysis and Machine Learning for Modeling the UCS from P-Wave Velocity, Density and Porosity on Dry Travertine

Applying Statistical Analysis and Machine Learning for Modeling the UCS from P-Wave Velocity, Density and Porosity on Dry Travertine

In the rock mechanics and rock engineering field, the strength parameter considered to characterize the rock is the uniaxial compressive strength (UCS). It is usually determined in the laboratory through a few statistically representative numbers of specimens, with a recommended minimum of five. The...

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Bibliographic Details
Main Authors: Manuel Saldaña, Javier González, Ignacio Pérez-Rey, Matías Jeldres, Norman Toro
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Applied Sciences
Subjects:
travertine
P-wave velocity
uniaxial compressive strength
neural networks
regression analysis
Online Access:https://www.mdpi.com/2076-3417/10/13/4565

Internet

https://www.mdpi.com/2076-3417/10/13/4565

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