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青藏铁路昆仑山隧道回冻预测分析
引用本文:张学富,喻文兵.青藏铁路昆仑山隧道回冻预测分析[J].中国公路学报,2005,18(4):67-71,82.
作者姓名:张学富  喻文兵
作者单位:1. 重庆交通学院,土木建筑学院,重庆,400074
2. 中国科学院寒区旱区环境与工程研究所,冻土工程国家重点实验室,甘肃,兰州,730000
基金项目:国家自然科学基金项目(40401010);国家杰出青年科学基金项目(40225001);国家基础学科人才培养项目(J0130084);中国科学院知识创新工程重点方向项目(KZCX3-SW-351);重庆交通学院启动基金项目(2004-2-01)
摘    要:针对青藏铁路昆仑山隧道围岩多年冻土融化较多的问题,考虑水分迁移和冰水相变耦合影响,根据瞬态温度场问题的热量平衡控制微分方程和质量迁移方程,应用伽辽金法推导出了有限元计算公式并编制了计算软件。运用该计算软件对昆仑山隧道施工期间的融化进行了回冻预测分析。分析结果表明:保温材料对昆仑山隧道的回冻起着阻碍作用。在现场观测寒区隧道围岩的温度和应力时,必须考虑施工期间融化圈的影响,而且观测时间要长一些。否则,测量的温度和应力与隧道稳定后的温度和应力有较大的差异。

关 键 词:隧道工程  寒区隧道  数值分析  施工影响  保温材料  回冻预测分析
文章编号:1001-7372(2005)04-0067-05
收稿时间:2004-11-16
修稿时间:2004-11-16

Forecast analysis for the re-frozen of Kunlunshan Tunnel on Qing-Tibet railway
ZHANG Xue-fu,YU Wen-bing.Forecast analysis for the re-frozen of Kunlunshan Tunnel on Qing-Tibet railway[J].China Journal of Highway and Transport,2005,18(4):67-71,82.
Authors:ZHANG Xue-fu  YU Wen-bing
Institution:1.School of Civil Engineering and Architecture, Chongqing Jiaotong University, Chongqing 400074, 2. State Key Laboratory of Frozen Soil Engineering, CAREERI, CAS, Lanzhou 730000, China
Abstract:According to the thawed range of the permafrost surrounding Kunlunshan Tunnel on Qing-Tibet railway being very large,water transfer and phase change were taken into account and the finite element formulae of this problem and computer program were derived from the governing differential equations and water transfer equations using GALERKIN's method.Using the computer program,forecast analysis for the re-frozen of Kunlunshan Tunnel was made.The analysis results show that insulation will delay the re-frozen of Kunlunshan Tunnel.The thawed range of the permafrost surrounding the tunnel in cold regions caused by construction must be considered,and the time of observation should be prolonged when their temperature and stress are observed in situ,or observation value will largely be different from real value in the state of the tunnel stability.
Keywords:tunnel engineering  cold region tunnel  numerical analysis  construction effect  insulation material  forecast analysis for the re-frozen
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