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下穿河流盾构隧道的风险评价体系研究
引用本文:梁孝,漆泰岳,陈鹏涛,晋智毅,钱王苹.下穿河流盾构隧道的风险评价体系研究[J].铁道建筑,2020(8):64-68.
作者姓名:梁孝  漆泰岳  陈鹏涛  晋智毅  钱王苹
作者单位:西南交通大学交通隧道工程教育部重点实验室;西南交通大学土木工程学院;南通大学交通与土木工程学院
基金项目:国家自然科学基金(51978582)。
摘    要:盾构隧道下穿河流的风险控制是地铁工程建设的重难点,而风险评价是保证隧道施工安全的重要环节。以杭州地铁5号线盾构施工工程为背景,通过数值模拟为风险评价提供数据样本。通过模糊综合评价和BP(Back Propagation)神经网络方法进行计算,确定风险指标变形值与风险因素的对应关系,进行风险评价分析。结果表明,原有施工参数有引发沉降超标及渗漏水的风险。通过调整开挖间隔、浆液注浆压力等技术参数,有效控制了沉降变形且掘进中管片未出现渗漏水情况,验证了评价体系的可靠性。

关 键 词:地铁  风险评价体系  数值模拟  盾构隧道  下穿河流  模糊综合评价  神经网络

Study on Risk Assessment System of Shield Tunnel Undercrossing River
LIANG Xiao,QI Taiyue,CHEN Pengtao,JIN Zhiyi,QIAN Wangping.Study on Risk Assessment System of Shield Tunnel Undercrossing River[J].Railway Engineering,2020(8):64-68.
Authors:LIANG Xiao  QI Taiyue  CHEN Pengtao  JIN Zhiyi  QIAN Wangping
Institution:(Key Laboratory of Transportation Tunnel Engineering,Ministry of Education,Southwest Jiaotong University,Chengdu 610031,China;School of Civil Engineering,Southwest Jiaotong University,Chengdu 610031,China;School of Transportation and Civil Engineering,Nantong University,Jiangsu Nantong 226019,China)
Abstract:The risk control of shield tunnel undercrossing river is the key and difficult point of subway engineeringconstruction,and risk assessment is an important link to ensure the safety of tunnel construction.Taking the shieldconstruction of Hangzhou Metro Line 5 as the background,this paper provided data samples for risk assessment throughnumerical simulation.Calculate by fuzzy comprehensive evaluation and BP(Back Propagation)neural network methodto determine the corresponding relationship between the deformation value of risk indicators and risk factors,which beused to carry out the risk assessment and analysis.The results show that the original construction parameters have therisk of excessive settlement and water leakage.By adjusting the excavation interval,grouting pressure and othertechnical parameters,the settlement deformation was effectively controlled,and there was no water leakage in thesegment during the excavation.It verified the reliability of the evaluation system.
Keywords:ubway  risk assessment system  numerical simulation  shield tunnel  undercrossing river  fuzzy comprehensive evaluation  neural network
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