A MONTE CARLO BASED ARTIFICIAL INTELLIGENCE APPROACH TO PREDICT THE STATISTICAL DISTRIBUTION OF UNIAXIAL COMPRESSIVE STRENGTH AND YOUNG’S MODULUS OF INTACT ROCKS

A MONTE CARLO BASED ARTIFICIAL INTELLIGENCE APPROACH TO PREDICT THE STATISTICAL DISTRIBUTION OF UNIAXIAL COMPRESSIVE STRENGTH AND YOUNG’S MODULUS OF INTACT ROCKS

Rock characterizations play an important role in designing rock engineering, mining, geotechnical, and other infrastructure projects. Uniaxial compressive strength (UCS) and Young’s modulus (E) are important parameters while forecasting a variety of issues encountered during various rock engineering...

Full description

Saved in:
Bibliographic Details
Main Author: Kamran, Muhammad
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/56513
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Institut Teknologi Bandung
Language: Indonesia

Similar Items

Similar Items