洞室岩体质量的多维联系云评价模型

Multi-dimensional Connection Cloud Model of Rock Mass Quality Evaluation of Caverns

洞室岩体质量评价具有重要意义,岩体质量评价受分布在有限区间的、相互联系和相互作用的模糊和随机不确定性因素影响,应用传统正态云模型虽可统一描述洞室岩体质量评价指标的随机性和模糊性,但在云模型数字特征确定方面存在主观性与假设指标为正态分布的局限性。为更客观准确评价洞室岩体质量等级,探讨了基于熵权的洞室岩体质量多维联系云评价模型,以实现统一定量表征洞室岩体质量评价指标的多重随机模糊性、相互作用及实际分布特征。实例应用及与一维传统云模型和其他方法对比结果表明,该模型应用于洞室岩体质量等级评价是有效可行的,且具有计算过程清晰和快捷的优点,并可综合考虑各评价因素间相互作用与刻画指标的有限区间内随机模糊分布特征。

The evaluation of rock mass quality of caverns is of great significance,but the rock mass quality evaluation is influenced by many fuzzy and random factors distributing in finite intervals. And the influences of the uncertainty factors on the evaluation are interrelated and interact. Although the conventional normal cloud model can depict the characteristics of randomness and fuzziness,it has the shortcoming of determination of the numerical characteristics and the requirement for normal distribution type of indicator. A multi-dimensional cloud model based on entropy weight was discussed here to specify the grade of rock mass quality of caverns,and to realize the more accurate description of the random ambiguity of evaluation index in the finite intervals. The case study and comparisons with the one-dimensional normal cloud model and other methods show that the proposed model is effective and feasible for the evaluation of rock mass quality. It has a clearer and quicker calculation process compared with the other methods,and can comprehensively consider the interaction among evaluation indicators and the random ambiguity in finite intervals.