土工基础 ›› 2021, Vol. 35 ›› Issue (1): 55-60.

• 专题论述 • 上一篇    下一篇

福建省公路隧道典型突涌灾害及安全风险评估研究

朱中全   

  1.  (南平武夷新区绕城高速公路有限责任公司,福建南平 354200)
  • 收稿日期:2021-02-01 修回日期:2021-02-04 出版日期:2021-02-28 发布日期:2021-03-01
  • 作者简介:朱中全(1976-),男,高级工程师,研究方向为公路工程项目管理和科研。

Water Inrush Hazards and Risk Assessment in Highway Tunnels in Fujian Province

ZHU Zhongquan   

  1. (Nanping Wuyi New District Loop Expressway Co. Ltd., Nanping 354200)
  • Received:2021-02-01 Revised:2021-02-04 Online:2021-02-28 Published:2021-03-01

摘要: 介绍了福建省在公路隧道建设方面的主要成就,阐述了不同地质条件下隧道的典型突涌案例,同时,针对典型突涌案例的推理,构建了公路隧道突涌灾害的风险标价指标体系;针对评价指标的多参数性和不确定性,提出了基于未确知测度与信息熵的隧道突涌安全风险评价的未确知测度模型,并分别建立突涌评价指标的未确知测度函数和评价指标权重,依据置信度识别准则实现对隧道突涌风险等级的评价。最后,针对京台高速的下房隧道开展了突涌灾害的风险评估。相关成果不但能够实现隧道突涌的安全风险评估;而且建立了不依赖专家经验和主观赋权的评价方法,可为相关研究提供参考借鉴。

关键词: 公路隧道, 突涌案例, 风险评估, 未确知测度, 信息熵

Abstract: First, the main achievements of Fujian Province in highway tunnel construction are introduced. Then, the typical tunnel inrush cases under different geological conditions are described, which are limestone, sandstone and granite with frequent inrush disasters. At the same time, according to the reasoning of inrush cases, the risk index system of highway tunnel inrush disaster is constructed. Aiming at the multi-parameter and uncertainty of the evaluation index, an unascertained measure model for tunnel inrush safety risk evaluation based on unascertained measure and information entropy is proposed. The unascertained measure function and the weight of the evaluation index are established respectively, and the tunnel inrush risk level is evaluated according to the confidence recognition criterion. Finally, a risk assessment of inrush disaster was carried out for the Xiafang tunnel of Beijing-Taiwan Expressway. It can not only realize the safety risk assessment of tunnel inrush disaster, but also establish an evaluation method that does not rely on expert experience and subjective weighting, which can provide reference for related research.

Key words: highway tunnels, inrush cases, risk assessment, unascertained measures, information entropy

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