地铁盾构施工穿越既有建筑群地层参数反演与沉降预测研究

Research on Parameter Inversion and Settlement Prediction for Metro Shield Tunneling beneath Existing Building Clusters

  • 摘要:
    目的 针对盾构隧道穿越既有建筑群时,地层关键参数难以测定的问题,提出一种利用沉降监测信息无损反演地层参数的白鲸优化-三维快速拉格朗日数值计算(Beluga whale optimization-FLAC3D,BWO-FLAC3D)方法。
    方法 介绍了BWO-FLAC3D方法的理论架构。该方法以模拟得到的地面沉降与实际监测得到的地面沉降之间的误差作为目标函数,将地层参数作为优化变量,利用优化方式独特的白鲸优化算法搜索目标函数的全局最小值,从而得到相应的地层参数。通过广州地铁12号线的实际工程案例,验证了该方法的适用性。
    结果及结论  采用所提出的方法可以较为准确地反演出地层的相关参数,能够极大缩短工作耗时。另外,根据实际工况对反演后的地层参数进行更新,可以对盾构掘进过程中开挖面后方的地面沉降进行预测,预测结果与实际结果相对误差较小。

     

    Abstract:
    Objective To address the challenge of determining key stratum parameters during shield tunneling beneath existing building clusters, a Beluga Whale Optimization-FLAC3D (BWO-FLAC3D) method is proposed,which utilizes settlement monitoring data to enable the non-destructive inversion of stratum parameters.
    Method The theoretical framework of the BWO-FLAC3D method is introduced. This method treats the error between simulated ground settlements and measured settlements as the objective function, with stratum parameters serving as optimization variables, and employs the unique Beluga Whale Optimization algorithm to search for the global minimum of the objective function, thereby deriving the corresponding stratum parameters. The applicability of the method is validated through a case project study from Guangzhou Metro Line 12.
    Result & Conclusion  The proposed method can accurately invert the relevant stratum parameters and significantly reduce the processing time. Furthermore, updating the inverted parameters according to actual construction conditions enables the prediction of ground settlement behind the excavation face during shield tunneling advancement. The predicted results show relatively small errors compared to the measured results.

     

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