Abstract Rock Mass Rating (RMR) is a widely used rock mass classification system to assess the quality/condition of rock masses for tunnels, mines, slopes and foundations. The RMR system has been successfully practiced for more than four decades in the civil and rock engineering projects worldwide. Even though RMR is responsive, economic and adaptive, it needs expert judgement for the accurate rating due to subjectivity involved in each parameter. This paper proposes continuous functions for the lump ratings of each parameter in the two frequently used versions of RMR, i.e. RMR89 and RMR14. These continuous functions enable less experienced personnel to determine the RMR at high accuracy. Roughness and weathering are two sub-parameters in the RMR system, which are defined descriptively lacking proper quantification. We have adopted the Joint Roughness Coefficient and *I5 index (indices of surface weakening) to quantify the roughness and weathering parameters respectively so that continuous functions could be proposed for discrete ratings. To check the accuracy of the proposed continuous functions, we have analysed 71 case studies for RMR89 and 22 case studies for RMR14 from different parts of the Indian Himalayan region. Moreover, a windows application with a graphic user interface, named “QuickRMR”, has been developed to calculate RMR89 and RMR14 using the proposed continuous functions. The software is freely available under GNU GPL 3.0 open-source license. The QuickRMR has additional advantages as it indicates the limitations and errors in the input values, calculates and stores RMR data for multiple locations and export the results of all location in one excel file for report generation and further processing.

中文翻译：

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岩体评级的连续函数和计算机应用

摘要 岩体评级（RMR）是一种广泛使用的岩体分类系统，用于评估隧道、矿山、边坡和地基的岩体质量/状况。RMR 系统已在全球土木和岩石工程项目中成功应用了四十多年。尽管 RMR 具有响应性、经济性和适应性，但由于每个参数都涉及主观性，因此需要专家判断才能准确评级。本文针对 RMR 的两个常用版本，即 RMR89 和 RMR14 中的每个参数的总评级提出了连续函数。这些连续功能使经验不足的人员能够以高精度确定 RMR。粗糙度和风化是 RMR 系统中的两个子参数，它们的定义缺乏适当的量化。我们采用了联合粗糙度系数和 *I5 指数（表面弱化指数）来分别量化粗糙度和风化参数，以便可以为离散评级提出连续函数。为了检查所提出的连续函数的准确性，我们分析了来自印度喜马拉雅地区不同地区的 RMR89 的 71 个案例研究和 RMR14 的 22 个案例研究。此外，开发了一个名为“QuickRMR”的具有图形用户界面的 Windows 应用程序，用于使用建议的连续函数计算 RMR89 和 RMR14。该软件可在 GNU GPL 3.0 开源许可下免费获得。QuickRMR 具有额外的优势，因为它指示输入值中的限制和错误，