基于随机场理论的岩溶区顶管施工地表变形规律分析
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湖南尚上市政建设开发有限公司

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国家自然科学基金(No.52108381)


Analysis of Surface Deformation of Pipe Jacking Construction in Karst Landform based on Random Field Theory
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    摘要:

    【目的】岩溶区溶洞位置分布及溶洞发育的随机性,以及岩土参数固有的空间变异性使得岩溶区隧道施工影响难以预测。【方法】以新华坝塘顶管项目实际工程为依托,基于马尔科夫随机场理论,通过数据间距小的物探数据与稀疏的钻孔数据对溶洞位置进行预测,获得地层类型模型;在地层类型模型基础上,基于Karhunen-Loève变换生成岩土参数随机场,采用非侵入式有限差分法将岩土参数随机场导入FLAC3D数值模型,探究岩土参数空间变异性对岩溶区顶管施工诱发地表变形规律;设置多组岩土参数空间变异性参数,基于随机有限分析法分析岩土参数空间变异性对地表变形规律影响。【结果】研究结果表明:1)通过利用钻孔和物探数据结合马尔科夫随机场可有效预测溶洞分布;2)传统的均质地层数值模型分析与相较于传统的均质地层数值模型分析结果,采用随机场理论考虑岩土体参数空间变异性的随机分析能够给出地表变形的置信区间;3)岩土参数的空间变异性主要影响地表变形曲线的置信区间的大小,而地表纵向沉降轮廓对地表变形的形状类型无影响。【结论】该研究表明以随机场理论研究岩溶区施工影响能够指导实际施工,对类似隧道施工具有一定的借鉴意义。

    Abstract:

    [Purposes] The randomness of the distribution of cavern locations and cavern development in karst areas, coupled with the inherent spatial variability of geotechnical parameters, renders it challenging to predict the impacts of tunnel construction in such environments. [Methods] The Xinhua Batang pipe jacking project was used as a case study to test the theory of Markov Random Fields. This involved predicting the location of the caverns based on physical exploration data with small data spacing and sparse borehole data. The resulting stratigraphic model was then validated. The model was constructed on the basis of the stratigraphic type model. The geotechnical parameter random fields were then generated based on the Karhunen-Loève transform and imported into the FLAC3D numerical model using the non-invasive finite difference method. The FLAC3D numerical model is employed to examine the spatial variability of geotechnical parameters and their influence on surface deformation in karst areas. This is achieved by setting several sets of spatial variability parameters for geotechnical parameters and analysing the impact of these parameters on surface deformation using the stochastic finite analysis method. [Findings] The results indicate: 1) The distribution of cavities can be effectively predicted by using borehole and physical exploration data combined with Markov random fields; 2) The traditional numerical model analysis of homogeneous stratigraphy and the stochastic analysis considering the spatial variability of the geotechnical parameters by using the random field theory can provide confidence intervals. In comparison with the results of the conventional numerical model of homogeneous stratigraphy; 3) The spatial variability of the geotechnical parameters mainly affects the size of confidence intervals of surface deformation curves, while the longitudinal settlement profile of the surface has no effect on the shape type of the surface deformation. [Conclusions] This study demonstrates that the study of construction impacts in karst areas by the theory of random field can inform the actual construction process, which is of some significance for the construction of similar projects.

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  • 收稿日期:2024-11-05
  • 最后修改日期:2024-12-13
  • 录用日期:2024-12-14
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