基于Mamdani模糊推理的山岭隧道围岩RMR14分级

发布时间：2018-01-12 06:00

本文关键词：基于Mamdani模糊推理的山岭隧道围岩RMR14分级　出处：《岩土工程学报》2017年11期 　论文类型：期刊论文

【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]:Rock mass classification method (RMR14) can fully evaluate the structure and properties of surface condition of rock mechanics, and in consideration of the influence of the initial stress field and engineering factors such as excavation method, evaluation is very suitable for mountain tunnel surrounding rock. But the RMR14 rating of the ladder score will cause the score interval fuzzy uncertainty, for evaluation of rock mass quality exactly, a fuzzy reasoning method based on Mamdani, by using fuzzy membership function to solve the fuzzy uncertainty problem. Using the "if-then" inference rules to realize fuzzy reasoning of multi input parameters inference rules, proposed RMR14 classification method of rock mass based on fuzzy inference of Mamdani, and the rock quality evaluation method is applied to Duping high-speed drift tunnel in. The results show that the RMR14 based on the rock mass quality classification method of Mamdani fuzzy reasoning can learn from existing engineering experience, and appropriate treatment score The fuzzy uncertainty of the boundary, compared with the direct RMR14 classification method, the fuzzy classification method proposed in this paper can be more accurate to evaluate the quality of the surrounding rock.

【作者单位】：混凝土及预应力混凝土结构教育部重点实验室(东南大学);东南大学土木工程学院;同济大学地下建筑与工程系;
【基金】：国家自然科学基金项目(41602300) 江苏省青年基金项目(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)
【分类号】：U451.2
【正文快照】： 岩体隧道工程的设计建设中,围岩质量紧密控制着工程的安全与稳定,隧道工程的施工难度、建设成本会随着岩体质量的降低而增加,因此合理的工程岩体分级是隧道工程岩体稳定性评价的基础[1-2]。为评价岩体的地质条件,目前国内外提出了很多评价岩体质量与地质条件的方法,如Bieniaws

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