岩土工程学报2017，Vol.39Issue(11)：2116-2124,9.DOI:10.11779/CJGE201711020
基于Mamdani模糊推理的山岭隧道围岩RMR14分级
A new rock mass rating method based on Mamdani fuzzy inference for rock tunnels
摘要
Abstract
The rock mass rating (RMR14) method can evaluate the mechanical properties and structural conditions of rock mass comprehensively and consider the engineering factors such as the initial ground stress fields and excavation ways. RMR14 is quite suitable for evaluating the surrounding rock of mountaneous tunnels. But the ladder-like rating in RMR14 will cause the fuzzy uncertainty at the interval boundaries. In order to evaluate the quality of rock mass more accurately, the fuzzy membership functions are introduced to solve the problem of fuzzy uncertainty based on the Mamdani fuzzy inference method. A new RMR14 method based on the fuzzy inference is proposed by using the "if - then" reasoning rules to realize multiple input parameters and inference rules of the fuzzy inference. The new method is used to assess the qualities of the surrounding rock mass of Piaoli tunnel of Dushan-Pingtang highway. The results show that the new RMR14 based on the fuzzy inference can draw the existing engineering experience and appropriately solve the boundary problem of fuzzy uncertainty. Compared with the original RMR14, the new RMR14 based on the fuzzy inference can assess the quality of the surrounding rock more accurately and steadily.关键词
山岭隧道/围岩分级/RMR14/模糊推理/工程应用Key words
rock tunnel/rock classification/RMR14/fuzzy inference/engineering application分类
建筑与水利引用本文复制引用
张琦,朱合华,黄贤斌,李晓军,戴国亮..基于Mamdani模糊推理的山岭隧道围岩RMR14分级[J].岩土工程学报,2017,39(11):2116-2124,9.基金项目
国家自然科学基金项目(41602300) （41602300）
江苏省青年基金项目(BK20150618) （BK20150618）
中国矿业大学深部岩土力学与地下工程国家重点实验室开放基金项目(SKLGDUEK1503) （SKLGDUEK1503）
