A Probabilistic Model to Determine Main Caving Span by Evaluating Cavability of Immediate Roof Strata in Longwall Mining
Article
Article Title | A Probabilistic Model to Determine Main Caving Span by Evaluating Cavability of Immediate Roof Strata in Longwall Mining |
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ERA Journal ID | 4022 |
Article Category | Article |
Authors | Mohammadi, Sadjad (Author), Ataei, Mohammad (Author), Kakaie, Reza (Author), Mirzaghorbanali, Ali (Author) and Aziz, Naj (Author) |
Journal Title | Geotechnical and Geological Engineering: an international journal |
Journal Citation | 39 (3), pp. 2221-2237 |
Number of Pages | 17 |
Year | 2021 |
Publisher | Springer |
Place of Publication | Switzerland |
ISSN | 0960-3182 |
1573-1529 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s10706-020-01620-y |
Web Address (URL) | https://link.springer.com/article/10.1007/s10706-020-01620-y |
Abstract | Caving process is a complex dynamic phenomenon influences safety and productivity of coal longwall mining. It improves safety due to reduction of load on support, face convergence and abutment stresses. Proper caving with respect to the quality and time of occurrence ensures continuity of operation and subsequently, the productivity of coal extraction. Therefore, a reliable prediction of strata behaviour and its caving potential are imperative in design of longwall projects. This paper presents a hybrid probabilistically qualitative–quantitative model to evaluate cavability of immediate roof and to estimate main caving span in longwall mining by combining empirical model and numerical solution. For this purpose, numerical simulation was incorporated to Roof Strata Cavability index (RSCi) as summation of ratings for nine significant parameters. Distinct element code was used to simulate numerically main caving span corresponding to various RSCi classes probabilistically. The newly proposed model was verified against actual field data collected from different longwall panels around the world. The results of proposed model agreed well with those of collected data. |
Keywords | Longwall mining; Immediate roof; Cavability; Main caving span; Empirical model; Numerical simulation |
ANZSRC Field of Research 2020 | 400502. Civil geotechnical engineering |
401902. Geomechanics and resources geotechnical engineering | |
401905. Mining engineering | |
Byline Affiliations | Shahrood University of Technology, Iran |
School of Civil Engineering and Surveying | |
University of Wollongong | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q5z70/a-probabilistic-model-to-determine-main-caving-span-by-evaluating-cavability-of-immediate-roof-strata-in-longwall-mining
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