Parameters used for prediction of settlement trough due to TBM tunnelling

Authors

DOI:

https://doi.org/10.24425/ace.2021.138504

Abstract

One of major design problems associated with shallow tunnelling in urbanized areas is the prediction of ground displacements caused by the construction process. Advanced tunnelling techniques such as shield tunnelling using Earth Pressure Balance Tunnel Boring Machines (EPB-TBMs) allow for significant reductions of settlements observed at the ground surface in comparison to tunnelling methods used in the past. The predictions of these displacements are often based on semi-empirical methods and prior experience. In addition to relative simplicity of such methods, their robustness and decades of validation in many tunnelling projects make them attractive for practical use. The tunnelling-induced settlement trough at the ground surface can be described by inversed Gaussian distribution function. It requires only the assumption of two parameters, namely: expected volume loss (VL) and the distance to the point of inflection (iy ), which is dependent on the empirical trough width parameter (K) and the tunnelling depth (z0). The values of those parameters have a strongly empirical nature; they should be established based on comparable experience obtained from full scale tunnelling projects with similar technique and at similar ground conditions. The paper presents the problem of variability of those parameters and discusses the need for its assessment. As volume loss is strongly related to the tunnelling technique, the study focuses on EPB-TBM tunnelling as the most commonly implemented one in recent years. Variability of parameters observed for different ground conditions in different countries is summarized. Finally, preliminary assessment of variability of settlements observed in Warsaw region is presented.

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Published

2021-12-30

How to Cite

Bogusz, Witold, et al. “Parameters Used for Prediction of Settlement Trough Due to TBM Tunnelling”. Archives of Civil Engineering, vol. 67, no. 4, Dec. 2021, pp. 351-67, doi:10.24425/ace.2021.138504.

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