Comparison of rock spalling evaluation in underground openings: Uncertainty-based mathematical model and empirical method

Rock spalling, considered an underground geological hazard that usually occurs after excavation in hard rock, threatens the safety of on-site operators and equipment. This study used an objective uncertainty-based model integrating six membership functions to evaluate rock spalling. Meanwhile, a new...

Full description

Saved in:
Bibliographic Details
Published inDeep Resources Engineering Vol. 2; no. 2; p. 100171
Main Authors Chen, Chao, Yao, Shibin, Zhou, Jian
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.05.2025
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Rock spalling, considered an underground geological hazard that usually occurs after excavation in hard rock, threatens the safety of on-site operators and equipment. This study used an objective uncertainty-based model integrating six membership functions to evaluate rock spalling. Meanwhile, a new index, spalling coefficients, as a robust empirical method referring to the rich engineering experience of researchers, was proposed for spalling risk evaluation. Then, 60 groups of the spalling dataset are collected from the literature to validate the performance of the proposed data-driven model and spalling coefficients. The results reveal that the constructed uncertainty model and spalling coefficients method can evaluate the spalling properly from different terms, which can be considered a valuable theoretical tool for underground hazard control and prevention. •Development of a six-membership-function uncertainty-based model for evaluating rock spalling risk.•Introduction of spalling coefficients as a new empirical index for robust risk assessment with 60 spalling datasets.•Effective evaluation of rock spalling’s various aspects for hazard control.•Methods provide practical value for managing geological hazards in hard rock excavation.
ISSN:2949-9305
2949-9305
DOI:10.1016/j.deepre.2025.100171