- Tytuł:
- Optimization of support parameters for reusable mining excavations based on a neuro-heuristic prognostic model
- Autorzy:
-
Babets, Dmytro
Sdvyzhkova, Olena
Dyczko, Artur
Gliwiński, Łukasz - Powiązania:
- https://bibliotekanauki.pl/articles/27324371.pdf
- Data publikacji:
- 2023
- Wydawca:
- Instytut Techniki Górniczej KOMAG
- Tematy:
-
longwall mining
coal seam
geomechanical processes
excavation reuse
jointed rocks
Finite Element Analysis
stress-strain analysis
support parameters
multifactorial analysis
nonlinear optimization
górnictwo
proces geomechaniczny
analiza
optymalizacja - Opis:
- 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.
- Źródło:
-
Mining Machines; 2023, 41, 3; 200--211
2719-3306 - Pojawia się w:
- Mining Machines
- Dostawca treści:
- Biblioteka Nauki
Artykuł