Document Type : Original Article
Authors
1
2 Associate Professor, Faculty of Engineering, Mining Engineering Department, university of kashan, ali_alianvari@kashanu.ac.ir
2
PhD Candidate, Faculty of Engineering, Mining Engineering Department, university of kashan
3
Assistant Professor, Faculty of Engineering, Mining Engineering Department, university of kashan
10.22077/jgm.2024.7372.1019
Abstract
The role of the rock brittleness index in materials engineering and mining sciences is paramount. This article embarks on a comprehensive analysis of recent studies with the overarching goal of refining the accuracy and predictability of these indices. Various dimensions, including laboratory experiments, numerical analyses, intelligent methodologies, and analytical approaches, undergo critical scrutiny. The critiques predominantly center on methodological shortcomings in laboratory experiments, ambiguities in data interpretation, limitations of numerical methods, and inadequacies in study alignment and standardization. A meticulous exploration of these dimensions catalyzes refining existing methodologies and elevating result accuracy. While laboratory investigations into the mechanical properties of rocks hold significant importance, critiques regarding methodological inefficiencies or flaws in experiment execution are evident. Conversely, numerical studies enable the simulation of complex rock behaviors under diverse environmental conditions and loading scenarios. Nonetheless, criticisms such as ambiguities in modeling or inefficiencies in parameter selection persist. Intelligent and analytical methodologies also contribute to more precise data interpretation, yet addressing deficiencies and inefficiencies in this realm requires further attention. A thorough literature review on this subject facilitates the consideration of superior and more refined approaches in future research endeavors. Ultimately, this article endeavors to deepen the understanding of rock brittleness indices, thereby fostering advancements in the field
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