Soft Computing Applications for Optimum Rock Fragmentation: An Advanced Overview.

Autor: Lawal, A. I., Adebayo, B., Afeni, T. B., Okewale, I. A., Ajaka, E. O., Amigun, J. O., Akinbinu, V. A., Apena, W. O.
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Zdroj: Geotechnical & Geological Engineering; Mar2024, Vol. 42 Issue 2, p859-880, 22p
Abstrakt: Rock fragmentation is an important phenomenon in mining engineering as its outcome determines the productivity of the entire mining process. Its imperativeness in mining engineering has attracted the attention of various researchers towards its assessments and various methods have been developed for this purpose. Hence, this study chronicle the methods that had been developed for the fragmentation analysis, identify their strengths and weaknesses. The aim is achieved by first harvesting the articles on rock fragmentation from the Scopus database. The mined data are then subjected to bibliometric analysis using the VoSViewer. Thereafter, detailed information about theoretical background of the rock fragmentation and the methods of analysis are provided. The outcome of the study has revealed that different soft computing (SC) methods are available for the assessment of rock fragmentation aside the traditional methods. The performance of the SC methods are better than many existing empirical methods. The practical application of the SC methods is still very unrealistic as they are largely not in the tractable mathematical form. There are some SC methods that are yet to be explored in rock fragmentation assessment. The study has therefore provided the latest and detailed information on the rock fragmentation by blasting. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index