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周鹏远, 宋战平, 王军保, 张玉伟, 田小旭. 基于随机介质理论的偏压隧道地表沉降预测方法[J]. 岩土工程学报. DOI: 10.11779/CJGE20231121
引用本文: 周鹏远, 宋战平, 王军保, 张玉伟, 田小旭. 基于随机介质理论的偏压隧道地表沉降预测方法[J]. 岩土工程学报. DOI: 10.11779/CJGE20231121
A prediction method of ground surface settlement induced by bias tunnel based on stochastic medium theory[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20231121
Citation: A prediction method of ground surface settlement induced by bias tunnel based on stochastic medium theory[J]. Chinese Journal of Geotechnical Engineering. DOI: 10.11779/CJGE20231121

基于随机介质理论的偏压隧道地表沉降预测方法

A prediction method of ground surface settlement induced by bias tunnel based on stochastic medium theory

  • 摘要: 隧道开挖引起地表沉降的各种预测方法中,均假定隧道收敛模式为对称形式,忽略了隧道非对称收敛的影响。为对偏压隧道引起地表沉降进行预测,本文首次提出一种隧道的偏压收敛模式,定义了相应的偏压参数,基于随机介质理论,利用坐标变换和二重积分的数值化处理,得到了偏压隧道引起地表沉降的预测模型,通过实际工程验证了该方法的适用性,并分析了相关参数对于地表沉降的影响规律。相比于传统收敛模式,该收敛模式所得最大沉降量及最大沉降点位置更准确,对于地表整体沉降趋势的预测也更为贴近。

     

    Abstract: In various prediction methods for ground surface settlement caused by tunnel excavation, it is assumed that the convergence mode of the tunnel is symmetric, ignoring the influence of asymmetric convergence of the tunnel. To predict ground surface settlement caused by biased tunnels, a biased convergence mode for tunnels is proposed for the first time with defining corresponding biased parameters. Based on stochastic medium theory, using coordinate transformation and integral numerical processing, a prediction model for ground surface settlement caused by biased tunnels is obtained. The applicability of this method is verified through practical projects, and the influence of relevant parameters on ground surface settlement is analyzed. Compared to the traditional convergence model, this convergence model obtains the maximum settlement and the location of the maximum settlement point more accurately, as well as the overall trend of ground surface settlement.

     

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