Optimization of support parameters for reusable mining excavations based on a neuro-heuristic prognostic model

• Autorzy: Babets Dmytro , Sdvyzhkova Olena , Dyczko Artur , Gliwiński Łukasz

Identyfikatory

DOI

10.32056/KOMAG2023.3.5

• Języki publikacji: EN

Abstrakty

EN

This publication delves into geomechanical processes encountered during sequential longwall mining of coal seams, with a unique focus on reusing the conveyor track of the prior longwall as the ventilation pathway for the subsequent longwall. An in-depth geomechanical rationale is provided for the reuse of excavations within jointed rock formations.To ascertain the critical roles played by various support and protective elements at each distinct mining stage, a comprehensive analysis is performed using finite element techniques to delineate thethree-dimensional stress-strain characteristics of the rock mass.Employing an innovative methodology integrating multifactorial analysis, contemporary structural identification algorithms, and a neuro-heuristic approach for predictive mathematical modeling, an integral stability metric for reusable mining excavations isintroduced. Specifically, this metric quantifies the relative preservation of theexcavation's cross-sectional area following its connection to thesecond longwall.Furthermore, the study tackles the challenge of nonlinear optimization through the application of the generalized reduced gradient method (Frank-Wolfe), ultimately deriving the optimal combination of factors that maximizes the preservation of the cross-sectional area for these reusable excavations.

Słowa kluczowe

EN

longwall mining; coal seam; geomechanical processes; excavation reuse; jointed rocks; Finite Element Analysis; stress-strain analysis; support parameters; multifactorial analysis; nonlinear optimization

PL

górnictwo; proces geomechaniczny; analiza; optymalizacja

• Wydawca: Instytut Techniki Górniczej KOMAG
• Czasopismo: Mining Machines
• Rocznik: 2023
• Tom: vol. 41, iss. 3
• Strony: 200--211
• Opis fizyczny: Bibliogr. 26 poz., rys., tab., wykr.

Twórcy

autor

Babets Dmytro

• Dnipro University of Technology, 19 Yavornytskoho Ave., UA-49005,Dnipro, Ukraine

autor

Sdvyzhkova Olena

• Dnipro University of Technology, 19 Yavornytskoho Ave., UA-49005,Dnipro, Ukraine

autor

Dyczko Artur

• Mineral and Energy Economy Research Institute, Polish Academy of Sciences, J. Wybickiego, PL-31261, Krakow, Poland

autor

Gliwiński Łukasz

• AGH University of Krakow, ave. Mickiewicza 30, PL-30059, Krakow, Poland

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023)