Prediction of CMRS rock mass rating using fuzzy logic

Devanand, Naveen Kumar
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引用次数: 1

Abstract

CMRS (Central Mining Research Station) Geomechanical rating of rock mass is a classification system based on the various parameters which was defined by CMRS. The rating system may possess some fuzziness in its practical applications. For example, groundwater seepage and weatherability (measured by I Cycle slake durability) are related by experts in linguistic terms with approximation. Descriptive terms vary from one expert to another, while in the RMR system values which are related to these terms are probably the same. On the other hand, sharp transitions between two classes create uncertainties. So it is proposed to determine new weight interval for these parameters. Fuzzy model based on the Mamdani algorithm was introduced to evaluate proposed weights, so that the linguistic approximation based problem could be solved. Further, experiments are done with some of coal mines areas where this fuzzy based rock mass rating gives more satisfactory result than the existing CMRS rating techniques.
用模糊逻辑预测cmr岩体质量等级
中央采矿研究站岩体地质力学等级是由中央采矿研究站定义的各种参数为基础的分类体系。该评价体系在实际应用中可能存在一定的模糊性。例如,地下水渗漏和耐候性(由I Cycle lake耐久性测量)被专家用近似的语言术语联系起来。描述性术语因专家而异,而在RMR系统中,与这些术语相关的值可能是相同的。另一方面,两个类之间的急剧转换会产生不确定性。因此,提出了对这些参数确定新的权重区间的方法。引入基于Mamdani算法的模糊模型对权重进行评估,从而解决基于语言逼近的问题。并在部分矿区进行了试验,结果表明,该模糊岩体等级评定方法比现有的cmr等级评定方法效果更好。
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