Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques

Prediction of uniaxial compressive strength of limestone from ball mill grinding characteristics using supervised machine learning techniques

Abstract Uniaxial Compressive Strength (UCS) is a fundamental parameter in rock engineering, governing the stability of foundations, slopes, and underground structures. Traditional UCS determination relies on laboratory tests, but these face challenges such as high-quality core sampling, sample prep...

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Bibliographic Details
Main Authors: Sahas V. Swamy, Bijay Mihir Kunar, Karra Ram Chandar, Mamdooh Alwetaishi, Shashikumar Krishnan, Sudhakar Reddy
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Grinding characteristics
Hyperparameter optimization
Supervised machine learning
Performance metrics
Prediction model
Uniaxial compressive strength
Online Access:https://doi.org/10.1038/s41598-025-09063-2
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https://doi.org/10.1038/s41598-025-09063-2

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