Einführung in das Simplified Caving Predicting Tool SCPT

Abstract

This publication aims to describe a simple methodology for predicting caving and cave propagation, for mining purposes, using numerical simulations. The methodology is designed to be user-friendly and easy to set up and analyse, making it practical for real-world applications. The algorithm is performed in FLAC3D, version 7.0, and is based on an elastic model due to its simplicity and low running times. The methodology uses a series of routines to describe and quantify the rock failure process during caving. The emphasis is on simplicity, achieved by implementing reasonable assumptions about the caving situation and rock mass behaviour. The caving propagation is driven by plastic behaviour which the algorithm represents by a simplified softening behaviour to make it more practical.The degradation processes occurring in the rock mass during caving are accounted for by reducing the mechanical properties of the rock mass and the stress state in degraded zones in a controlled and systematic manner. Sensitivity tests are performed to analyse the weight of the mechanical parameters involved in the caving processes and to optimize the reduction rate of the mechanical properties of the rock mass.The current stage of development for the Simplified Caving Predicting tool, SCPT, is the performance of an extensive sensitivity test of the caving algorithm. In parallel, the outcome is being assessed for verification purposes. This is done by analysing the results obtained in the numerical models and the outcome of the semi-empirical methods available in the literature as well as an analytical comparison of results. The latter analysis aims to determine the weight of the different parameters involved in the simulations.The caving tool is being developed for its application on the novel Raise Caving (RC) mining method. The tool will provide understanding regarding the caving initiation and propagation for the novel Raise Caving method.