Eric Bonnetier , Sergio Gaete , Alejandro Jofre , Rodrigo Lecaros , Gino Montecinos , Jaime H. Ortega , Javier Ramírez-Ganga , Jorge San Martín
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引用次数: 0
Abstract
Block caving is a technique employed in underground mining for the extraction of minerals. It utilizes the force of gravity to facilitate the controlled fracturing of rock, thereby enabling the efficient retrieval of ores from the mine. In our pursuit of numerical simulation of this extraction process and a more profound comprehension of its influence on the mine environment, we examine variational damage models founded upon the gradient damage model proposed by Pham and Marigo in 2010. However, the original theory of Pham and Marigo is insufficient for accurately modeling the complexities of large-scale problems where compression-induced damage is pervasive throughout the rock mass and impedes the recovery of subsidence in the cavity ceiling. To address this limitation, we introduce a variation of the model. This variation incorporates an anisotropic dependence of the damage criterion on the spherical and deviatoric components of the stress tensor, effectively controlling compression damage. The simulations demonstrate the effectiveness of the proposed extension in accurately representing the observed damage in the rock mass and the expected subsidence in a block-caving operation. The new model provides a more comprehensive and realistic representation of the underground mining process, contributing to improved predictive capabilities and more informed mining decision-making.
期刊介绍:
Applied Mathematical Modelling focuses on research related to the mathematical modelling of engineering and environmental processes, manufacturing, and industrial systems. A significant emerging area of research activity involves multiphysics processes, and contributions in this area are particularly encouraged.
This influential publication covers a wide spectrum of subjects including heat transfer, fluid mechanics, CFD, and transport phenomena; solid mechanics and mechanics of metals; electromagnets and MHD; reliability modelling and system optimization; finite volume, finite element, and boundary element procedures; modelling of inventory, industrial, manufacturing and logistics systems for viable decision making; civil engineering systems and structures; mineral and energy resources; relevant software engineering issues associated with CAD and CAE; and materials and metallurgical engineering.
Applied Mathematical Modelling is primarily interested in papers developing increased insights into real-world problems through novel mathematical modelling, novel applications or a combination of these. Papers employing existing numerical techniques must demonstrate sufficient novelty in the solution of practical problems. Papers on fuzzy logic in decision-making or purely financial mathematics are normally not considered. Research on fractional differential equations, bifurcation, and numerical methods needs to include practical examples. Population dynamics must solve realistic scenarios. Papers in the area of logistics and business modelling should demonstrate meaningful managerial insight. Submissions with no real-world application will not be considered.