摘要
为准确预测铁路隧道塌方风险等级,避免塌方事故的发生,建立铁路隧道塌方风险评价可变模糊集理论模型。从工程地质、勘察设计、施工技术与管理3方面分析隧道塌方的风险因素,建立共10个2级评价指标的铁路隧道塌方风险评价指标体系,分别运用改进G2法和改进CRITIC法对评价指标进行主、客观赋权,运用博弈论组合赋权法对权重分配结果进行优化,通过可变模糊评价法结合岩山隧道工程实例验证评价模型可行性。研究结果表明:岩山隧道各区段塌方风险等级均在2级与3级之间,隧道整体风险在中等风险与高等风险之间,评价结果与工程实际情况吻合,说明该模型在铁路隧道塌方风险评价具有一定适用性。
In order to accurately predict the railway tunnel collapse risk level and avoid the occurrence of collapse accidents,a variable fuzzy set theory model for railway tunnel collapse risk evaluation was established.This paper analyzed the risk factors of tunnel collapse from three aspects of engineering geology,survey design,construction technology and management.A total of 10 secondary evaluation indicators of railway tunnel collapse risk evaluation indicator system was established.The improved G2 method and the improved CRITIC method were used to subjectively and objectively weight the evaluation indicators.The game theory combined weighting method was used to optimize the weight distribution results,verification of the feasibility of the evaluation model through the variable fuzzy evaluation method combined with an example of the Yanshan tunnel project.The results are drawn as follows.The landslide risk level of each section of Yanshan Tunnel is between GradeⅡand GradeⅢ.The overall risk of the tunnel is between medium and high risk.The evaluation result is in accordance with the actual situation of the project.The results indicate that the model has certain applicability in the risk assessment of railway tunnel collapse.
作者
王婧
靳春玲
贡力
张鑫
WANG Jing;JIN Chunling;GONG Li;ZHANG Xin(School of Civil Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
出处
《铁道科学与工程学报》
CAS
CSCD
北大核心
2021年第5期1364-1372,共9页
Journal of Railway Science and Engineering
基金
国家自然科学基金资助项目(51969011,51669010)
甘肃省自然科学基金资助项目(17JR5RA105)。
关键词
铁路隧道
可变模糊集理论
组合赋权
塌方
风险评价
railway tunnel
variable fuzzy set theory
portfolio weighting
collapse
risk assessment
