基于模糊推理的智能围岩分级方法研究

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摘要 研究目的: 围岩分级是隧道施工中必不可少的边界条件。传统的围岩分级方法在时效性和完备性方面存在诸多弊端,且在实际工程中可利用的样本量偏少,故本文引入模糊推理方法将围岩分级智能化,尝试从以往的围岩分级数据中提取出模糊规则,构建模糊推理引擎,实现基于模糊推理的智能化围岩分级,以解决工程中的实际问题。
研究结论: (1)分析研究了三种模糊规则生成算法及优缺点;(2)明确了模糊集隶属函数采用的六个条件参数及取值范围;(3)通过试验验证了分段模糊推理模型适用于少量样本围岩分级的可行性,实现了高效、准确的围岩分级;(4)实践表明,基于模糊推理方法设计的智能化围岩分级系统可以满足工程中的实际需求,能够为类似工程应用提供参考和借鉴。

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	徐博
	汪佳欣
	钱屹
	张中远
	朱若轩
	戈萧

关键词 ：围岩分级, 模糊推理, 规则提取

Abstract：Research purposes: The classification of surrounding rock is an indispensable boundary condition in tunnel construction. The traditional method of surrounding rock classification has many drawbacks in terms of timeliness and completeness, and the sample size available in actual engineering is relatively small. In this paper, the fuzzy inference method is introduced to intelligentize the classification of surrounding rock, the fuzzy rules are extracted from the previous classification data of surrounding rock, and a fuzzy inference engine is constructed to realize intelligent classification of surrounding rocks based on fuzzy inference, so as to solve practical problems in engineering.
Research conclusions: (1) Three kinds of fuzzy rule generation algorithms and their advantages and disadvantages are analyzed and studied. (2) The six conditional parameters and value ranges used by the membership function of fuzzy sets are clarified. (3) The feasibility of grading a small number of samples of surrounding rock realizes efficient and accurate grading of surrounding rock. (4) Practice shows that the intelligent surrounding rock classification system designed based on fuzzy reasoning method can meet the actual needs of engineering, and can provide reference for similar engineering applications.

Key words： surrounding rock classification fuzzy inference rule extraction

收稿日期: 2022-05-18

PACS:

U459

基金资助:轨道交通工程信息化国家重点实验室开放基金资助(2021KY15ZD(ZNGT)-04);中铁第一勘察设计院集团有限公司(院科CZ19-21,20-20)

作者简介: **徐博,1984年出生,男,高级工程师。

引用本文:

徐博, 汪佳欣, 钱屹, 张中远, 朱若轩, 戈萧. 基于模糊推理的智能围岩分级方法研究[J]. 铁道工程学报, 2022, 39(8): 24-29.
XU Bo, WANG Jiaxin, QIAN Yi, ZHANG Zhongyuan, ZHU Ruoxuan, GE Xiao. Intelligent Surrounding Rock Classification Based on Fuzzy Inference. Journal of Railway Engineering Society, 2022, 39(8): 24-29.

链接本文:

https://tdgcxb.crec.cn/CN/ 或 https://tdgcxb.crec.cn/CN/Y2022/V39/I8/24

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