基于云模型的岩溶隧道涌水灾害危险性评价及其在青岩头隧道的应用  被引量:7

Evaluation of water burst hazard in karst tunnel based on cloud model and its application in Qingyantou Tunnel

在线阅读下载全文

作  者:黄仁东[1] 吴寒 张惕 彭怀德[1] HUANG Rendong;WU Han;ZHANG Ti;PENG Huaide(School of Resource and Safety Engineering,Central South University,Changsha,Hunan 410083,China)

机构地区:[1]中南大学资源与安全工程学院,湖南长沙410083

出  处:《中国地质灾害与防治学报》2018年第5期44-51,共8页The Chinese Journal of Geological Hazard and Control

基  金:国家自然科学基金:深部采动下地质结构体跨尺度时变力学行为试验及机理(41672298)

摘  要:针对当下岩溶隧道涌水灾害评价方法存在的问题和岩溶隧道岩溶涌水灾害危害极大的现状,为防控岩溶隧道施工涌水灾害,提出一种基于云模型的岩溶隧道涌水灾害安全评价方法。选取自然地理、不良地质和工程技术3个方面的27项指标,建立了岩溶隧道涌水灾害风险分级的评价指标体系;通过云模型正向正态云发生器得到综合评价数字特征并生成云滴图,再由最大隶属度计算结果确定评价等级;实际应用表明,评价降低了部分主观因素的影响且无需庞大数据库进行反复运算确认,评价结果与实际基本吻合,为岩溶隧道涌水灾害风险评价提供了一条新途径,可为岩溶隧道涌水防控工程措施决策提供依据。This paper proposes a safety evaluation method based on cloud model,which aims to prevent and control water burst disaster.Firstly,the characteristics of water burst in karst tunnel were analyzed based on the existing literatures,and 27 evaluation indexes(e.g.natural geography,unfavorable geology conditions and engineering technology)are selected.Secondly,we work out and develop a set of evaluation indexes systems which affect the water burst of the karst tunnel.Finally,taking into account the weight of each factor,we have gained all the numerical characteristics of cloud model based on the computation rules on numerical characteristics of cloud model as well as cloud drops,and the risk grade of tunnel collapse is also specified by the maximum comprehensive degree of certainty.The results of its evaluation are reliable,which reflect the severity of disaster more objectively,without a large database to perform iterative validation.It not only puts forward a new way to evaluate water burst for karst tunnel,but also can provide some countermeasures and reference for the safety of the tunnel.

关 键 词:岩溶隧道 涌水灾害 云模型 风险评价 

分 类 号:U458[建筑科学—桥梁与隧道工程]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象