中国安全科学学报 ›› 2022, Vol. 32 ›› Issue (11): 105-112.doi: 10.16265/j.cnki.issn1003-3033.2022.11.1867

• 安全工程技术 • 上一篇    下一篇

属性识别理论下的岩溶隧道地表塌陷风险评价

周泽林1,2(), 张凯3,4,**(), 张恒5, 陈寿根5, 甘海龙6   

  1. 1 中国十九冶集团有限公司,四川 成都 610031
    2 西南交通大学 地球科学与环境工程学院,四川 成都 611756
    3 深圳大学 深地科学与绿色能源研究院,广东 深圳 518060
    4 深圳大学 土木与交通工程学院,广东 深圳 518060
    5 西南交通大学 土木工程学院,四川 成都 610031
    6 广西路桥工程集团有限公司,广西 南宁 530011
  • 收稿日期:2022-05-14 修回日期:2022-09-12 出版日期:2022-11-28 发布日期:2023-05-28
  • 通讯作者: 张凯
  • 作者简介:

    周泽林 (1986—),男,四川雅安人,博士,高级工程师,主要从事隧道工程施工与项目管理方面的工作。E-mail:

    张恒,副教授

    陈寿根, 教授

  • 基金资助:
    国家自然科学基金资助(52004163); 中国博士后科学基金资助(2020M682892); 深圳市科技计划项目(JCYJ20220531101408020)

Risk assessment of surface subsidence in karst tunnels under attribute recognition theory

ZHOU Zelin1,2(), ZHANG Kai3,4,**(), ZHANG Heng5, CHEN Shougen5, GAN Hailong6   

  1. 1 China 19th Metallurgical Corporation, Chengdu Sichuan 610031, China
    2 Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu Sichuan 611756, China
    3 Institute of Deep Earth Sciences and Green Energy, Shenzhen University, Shenzhen Guangdong 518060, China
    4 College of Civil and Transportation Engineering, Shenzhen University, Shenzhen Guangdong 518060, China
    5 School of Civil Engineering, Southwest Jiaotong University, Chengdu Sichuan 610031, China
    6 Guangxi Road and Bridge Engineering Group Co., Ltd, Nanning Guangxi 530011, China
  • Received:2022-05-14 Revised:2022-09-12 Online:2022-11-28 Published:2023-05-28
  • Contact: ZHANG Kai

摘要:

为准确预测岩溶隧道施工引起的地表塌陷风险,运用属性评价方法建立岩溶隧道地表塌陷的风险评价体系。选取控制岩溶地表塌陷的关键因素作为溶区隧道地表塌陷风险的评价指标;构建属性测度函数用于计算各风险评价指标的属性测度;运用综合赋权法确定各评价指标的权重;最后,运用置信度准则确定地表塌陷的风险级别,并通过工程应用验证其可行性。应用结果表明:采用所建立的可拓风险评价体系得出的地表塌陷风险结果与工程实际吻合较好;体系中属性测度函数形式固定,指标权重的确定考虑了人的客观认知和事物的客观信息,这些特点可显著提高风险评价结果的可靠性。

关键词: 属性识别, 岩溶隧道, 地表塌陷, 风险评价, 综合权重

Abstract:

In order to accurately predict the risk of surface collapse caused by karst tunnel construction, the risk evaluation of surface collapse along karst tunnels is established by using attribute evaluation method. The key factors of controlling surface collapse along karst tunnels are selected as the evaluation index of tunnel surface collapse risk. The attribute measure functions are constructed to calculate theattribute measures of each risk evaluation index. Using the integrated weighting method to determine the weights of each evaluation index. Finally, a confidence criterion was applied to recognize the surface collapse risk level, and its feasibility is verified by engineering application. The research results indicate that the risk assessment results of ground collapse obtained by the extension risk evaluation system established in this research are in good agreement with the actual engineering practice. In the established risk assessment system, the form of attribute measure function is fixed, and the determination of index weightconsiders the objective cognition of people and objective information of things, which can significantly improve the reliability od risk assessment results.

Key words: attribute recognition, karst tunnels, ground subsidence, risk assessment, comprehensive weights