|本期目录/Table of Contents|

[1]刘敦文,曹敏,唐宇,等.基于云模型的富水岩溶隧道涌水风险评价*[J].中国安全生产科学技术,2021,17(1):109-115.[doi:10.11731/j.issn.1673-193x.2021.01.018]
 LIU Dunwen,CAO Min,TANG Yu,et al.Risk evaluation of water inrush in water-rich karst tunnel based on cloud model[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2021,17(1):109-115.[doi:10.11731/j.issn.1673-193x.2021.01.018]
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基于云模型的富水岩溶隧道涌水风险评价*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
17
期数:
2021年1期
页码:
109-115
栏目:
职业安全卫生管理与技术
出版日期:
2021-01-31

文章信息/Info

Title:
Risk evaluation of water inrush in water-rich karst tunnel based on cloud model
文章编号:
1673-193X(2021)-01-0109-07
作者:
刘敦文曹敏唐宇徐谦姜冰王方立
(1.中南大学 资源与安全工程学院,湖南 长沙 410083;
2.中交路桥华南工程有限公司,广东 中山 528400)
Author(s):
LIU Dunwen CAO Min TANG Yu XU Qian JIANG Bing WANG Fangli
(1.School of Resources and Safety Engineering,Central South University,Changsha Hunan 410083,China;
2.CCCC Road & Bridge South China Engineering Co.,Zhongshan Guangdong 528400,China)
关键词:
富水岩溶隧道突水风险云模型评估指标体系云数字特征
Keywords:
water-rich karst tunnel water inrush risk cloud model evaluation indicator system cloud digital characteristic
分类号:
X951;TU714
DOI:
10.11731/j.issn.1673-193x.2021.01.018
文献标志码:
A
摘要:
为适应风险因素不确定性、随机性及动态反馈性等特点,建立新型富水岩溶隧道涌水风险评价体系,提出1种基于云模型的模糊综合评价方法。选取5个1级指标、29个2级指标构建评价指标体系;综合层次分析、熵权与加权平均计算法合理分配各指标权重;利用云生成算法计算出云数字特征参数并生成足够数量的云滴;将方法应用于贵州省某隧道涌水风险评价。结果表明:隧道综合云模型云滴大部分处于“中度风险”与“高度风险”之间,与实际开挖及地质雷达分析结果一致。所提出的基于云模型的模糊综合评价法对富水岩溶隧道涌水风险评估提供良好的实践参考,为日后隧道质量控制和寿命评估提供参考。
Abstract:
To adapt to the characteristics of uncertainty,randomness and dynamic feedback of risk factors,a new risk evaluation system for the water inrush of water-rich karst tunnel was established,and a fuzzy comprehensive evaluation method based on the cloud model was proposed.5 level-1 indicators and 29 level-2 indicators were selected to construct the evaluation indicator structure.The combination of hierarchical analysis,entropy weighting and weighted average calculation methods was used to reasonably allocate the weight of each indicator.The cloud generation algorithm was used to calculate the cloud digital characteristic parameters and generate a sufficient number of cloud droplets.This method was applied to the water inrush risk assessment of a tunnel in Guizhou Province.The results showed that most of the cloud droplets in the comprehensive cloud model were between “medium risk” and “high risk”,which was consistent with the results of actual excavation and geological radar analysis.The proposed fuzzy comprehensive evaluation method based on cloud model provides a good practical reference for the risk assessment of water inrush in the water-rich karst tunnel,and provides a reference for future tunnel quality control and life estimation.

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备注/Memo

备注/Memo:
收稿日期: 2020-06-02
* 基金项目: 中南大学博士后科研启动基金项目(228697)
作者简介: 刘敦文,博士,教授,主要研究方向为土木工程及工程质量安全与灾害控制。
通信作者: 唐宇,博士,助理研究员,主要研究方向为桥梁与隧道工程安全评价与灾害防治。
更新日期/Last Update: 2021-02-04