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Maximum volume cuboids for arbitrarily shaped in-situ rock blocks as determined by discontinuity analysis-A genetic algorithm approach

机译:不连续性分析确定的任意形状原位岩块的最大体积长方体-遗传算法

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摘要

The block stone industry is one of the main commercial use of rock. The economic potential of any block quarry depends on the recovery rate, which is defined as the total volume of useful rough blocks extractable from a fixed rock volume in relation to the total volume of moved material. The natural fracture system, the rock type(s) and the extraction method used directly influence the recovery rate. The major aims of this study are to establish a theoretical framework for optimising the extraction process in marble quarries for a given fracture system, and for predicting the recovery rate of the excavated blocks. We have developed a new approach by taking into consideration only the fracture structure for maximum block recovery in block quarries. The complete model uses a linear approach based on basic geometric features of discontinuities for 3D models, a tree structure (TS) for individual investigation and finally a genetic algorithm (GA) for the obtained cuboid volume(s). We tested our new model in a selected marble quarry in the town of iscehisar (AFYONKARAHiSAR-TURKEY).
机译:块石工业是岩石的主要商业用途之一。任何块状采石场的经济潜力取决于回收率,回收率定义为可从固定岩石体积中提取的有用粗块的总体积相对于所运物料的总体积。天然裂缝系统,岩石类型和开采方法直接影响采收率。这项研究的主要目的是建立一个理论框架,以针对给定的裂缝系统优化大理石采石场的提取工艺,并预测开挖块的采收率。我们已经开发出一种新方法,仅考虑裂缝结构以最大程度地提高采石场的采石量。完整的模型使用线性方法,该方法基于3D模型的不连续性的基本几何特征,用于个人研究的树结构(TS),最后是用于获得的长方体体积的遗传算法(GA)。我们在iscehisar(AFYONKARAHiSAR-TURKEY)镇的一个大理石采石场中测试了新模型。

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