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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. DOI: 10.11779/CJGE201711020
引用本文: 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. DOI: 10.11779/CJGE201711020
ZHANG Qi, ZHU He-hua, HUANG Xian-bin, LI Xiao-jun, DAI Guo-liang. A new rock mass rating method based on Mamdani fuzzy inference for rock tunnels[J]. Chinese Journal of Geotechnical Engineering, 2017, 39(11): 2116-2124. DOI: 10.11779/CJGE201711020
Citation: ZHANG Qi, ZHU He-hua, HUANG Xian-bin, LI Xiao-jun, DAI Guo-liang. A new rock mass rating method based on Mamdani fuzzy inference for rock tunnels[J]. Chinese Journal of Geotechnical Engineering, 2017, 39(11): 2116-2124. 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: 岩体分级方法(RMR14)可充分评价岩体力学性质和结构面的条件,且可考虑初始地应力场和开挖方式等工程因素的影响,非常适用于山岭隧道围岩的评价。但RMR14评级方法的阶梯状评分会引起评分区间边界出现模糊不确定性,为更加准确地评价岩体质量,基于Mamdani模糊推理方法,引入模糊隶属函数来解决模糊不确定性问题。采用“if-then”推理法则实现多输入参数多推理规则的模糊推理,提出基于Mamdani模糊推理的RMR14岩体分级方法,并将此方法应用于独平高速漂里隧道的围岩质量评价。研究结果表明,基于Mamdani模糊推理的RMR14岩体质量分级方法既可借鉴既有工程经验,又可恰当处理评分边界的模糊不确定性问题;与直接采用RMR14分级方法相比,本文提出的模糊分级方法能更加准确评价围岩质量。

     

    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.

     

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