基于RMR的模糊AHP法在岩体分级中的应用

APPLICATION OF RMR BASED FUZZY AHP METHOD TO ROCK MASS CLASSIFICATION

传统的RMR法采用固定评估因素、固定评分方式进行岩体分级,其评分过程中存在着许多不确定性和主观性,在地质条件复杂的情况下岩体分级效果差。为了改变RMR法存在的不足,本文在参考RMR法的基础之上,提出了将AHP法应用于岩体分级的方案,给出了模型计算流程。将岩体分级看作一个多属性决策问题,根据实际情况可随机加入或减少影响岩体质量的评估因素,集合专家的意见重新确定各评估因素的权重值、建立相应的评分准则,然后通过迭代法计算岩体质量总评分再进行岩体分级。针对AHP法无法解决的模糊问题,在模型计算流程中引入了模糊理论进行相关处理,并编程实现该流程。最后将此方案应用于大湾隧道进行岩体分级,分级结果与RMR法的结果进行对比分析,结果显示模糊AHP法的岩体分级结果与实际情况更加吻合。

The traditional RMR method is especially focused on constant rating parameters and the form of giving scores.So there is no doubt that it has many indeterminate and subjective factors in the process of rating and cannot get an adequate result under complicated geologic environment.In order to improve the RMR method,this paper puts forward the AHP method to use in rock mass classification.Under this method,the rock mass classification is viewed as a group decision problem.It can readjust the rating parameters based on real geologic environment and calculate parameters＇ proportion,establish corresponding evaluation criterion.Then it can calculate rock mass total score which is used for the rating.The fuzzy logic theory is used in AHP method to solve fuzzy problem in fact.At last,this new method has been used in the rock mass classification of Dwan tunnel.Compared to the RMR method result for this instance,the classification result of AHP method is closer to the fact.