摘要
为有效评价公路隧道场景下的新能源汽车火灾风险,解决目前公路隧道火灾评价存在的指标考虑不足、权重确定困难、评价等级界定不清的问题。根据安全学原理,结合新能源汽车火灾致因,从“人-机-环-管”4个方面构建了公路隧道新能源汽车火灾风险评价指标体系。利用决策模型和欧式距离函数,将层次分析法(AHP)主观权重和熵权法客观权重利用组合赋权的方法有效结合,得到更为合理的组合权重。最后利用组合赋权-物元可拓模型对南京定淮门隧道新能源汽车火灾风险进行评价,所得级别变量特征值为1.646,确定该隧道风险等级结果为Ⅱ级,与工程实际相符合,验证了该方法的合理性与可靠性。
This paper aims to effectively evaluate the fire risk of new energy vehicles in highway tunnels,address the insufficient consideration of indicators,difficulty in determining weights and unclear definition of evaluation grades in the current highway tunnel fire evaluation.Based the safety principles and the cause of fire of new energy vehicles,it builds the fire risk evaluation index system of new energy vehicles in highway tunnels from four aspects:human,vehicle,environment and management.Then,the decision model and the European distance function are employed.The subjective weight of analytic Hierarchy process(AHP)and the objective weight of entropy weight method are effectively combined by the method of combination weighting,and a more reasonable combination weight is obtained.Finally,the combined weighted matter-element extension model is used to evaluate the fire risk of new energy vehicles in Dinghuimen Tunnel,Nanjing.The characteristic value of the obtained grade variable is 1.646,and the tunnel risk level is determined to be levelⅡ,which is consistent with the engineering practice,and verifies the practicality and reliability of the method.
作者
付立家
文龙
卫佳
万利
FU Lijia;WEN Long;WEI Jia;WAN Li(China Merchants Chongqing Communications Technology Research&Design Institute Co.,Ltd.,Chongqing 400067,China;College of Transportation,Chongqing Jiaotong University,Chongqing 400074,China;Shandong Transportation Planning and Design Institute Group Co.,Ltd.,Jinan 250031,China)
出处
《重庆理工大学学报（自然科学）》
CAS
北大核心
2024年第9期164-173,共10页
Journal of Chongqing University of Technology：Natural Science
基金
重庆英才创新领军人才项目(CQYC20210301505)。
关键词
隧道火灾
风险评价
新能源汽车
组合赋权
物元可拓模型
tunnel fires
risk assessment
new energy vehicles
combinatorial empowerment
matter-element extension model
