隧道施工过程的三角模糊数与神经网络安全评估  

Safety assessment for subway construction process with triangular fuzzy number and neural network

作　　者：王洪德[1,2] 朱贵东[1] 

机构地区：[1]大连交通大学土木与安全工程学院,辽宁大连116028 [2]大连交通大学隧道与地下结构工程技术研究中心,辽宁大连116028

出　　处：《辽宁工程技术大学学报（自然科学版）》2016年第6期613-617,共5页Journal of Liaoning Technical University (Natural Science)

基　　金：中国铁路总公司科技研究开发计划项目(2014X012-D);辽宁省科技厅公益基金项目(2014004027)

摘　　要：为动态地对地铁隧道施工过程进行安全评估,针对地铁超浅埋暗挖段隧道,构建三角模糊数与神经网络相结合的地铁隧道施工过程安全评估模型.根据监测和数值仿真数据建立安全指标体系;划分地铁隧道施工过程评估等级,并将评估等级语言变量转换为三角模糊数;用混合遗传算法优化的BP神经网络,找出综合指标数据与评估等级的非线性映射关系.研究结果表明:大连地铁超浅埋段隧道施工过程处于安全等级;通过与既有方法比较分析,证明该评估方法与实际情况具有较强的贴近度.In order to realize dynamic safety assessment of subway tunnel construction process, safety evaluation model of subway tunnel construction process based on combined triangular fuzzy number and neural network was established in the super shallow buried tunnel for Dalian subway. Firstly, according to the monitoring and numerical simulation data, the safety index system was established; then, assessment level of subway tunnel construction process was divided and converted to triangular fuzzy numbers; finally, the nonlinear mapping relationship between comprehensive index data and assessment level was found with BP neural network optimized by hybrid genetic algorithm. Results of study show that construction process of the super shallow buried tunnel in Dalian subway is in the safety level; Compared with those assessment results given by other methods, the assessment results given by this method is more consistent with actual situation.

关 键 词：地铁隧道施工过程 三角模糊数 混合遗传算法 神经网络 安全评估模型 

分 类 号：X913.4[环境科学与工程—安全科学]