Three-dimensional numerical modelling on localised leakage in segmental lining of shield tunnels

Ground and tunnel responses induced by partial leakage in saturated clay with anisotropic permeability

Predicting the grouting effect on leakage-induced tunnels and ground response in saturated soils

Analytical solutions of non-Darcy seepage of grouted subsea tunnels

Investigation of steady water inflow into a subsea grouted tunnel

Deformation responses of the foundation pit construction of the urban metro station: A case study in Xiamen

When the tunnel boring machine (TBM) construction method is used to build tunnels, if the type of TBM is not appropriate, problems, such as low construction efficiency and increased construction cost, will easily occur. Therefore, it is necessary to build a TBM selection decision-making model to guide TBM selection. In this paper, seven evaluation indexes are selected according to engineering experience and expert suggestions, and the quantitative standards of each index are unified. The modified analytic hierarchy process (MAHP) method is used to determine the weight of each evaluation index. The technique for order preference by similarity to an ideal solution (TOPSIS) method is adopted as the decision-making method of TBM selection. Finally, a TBM selection decision-making model is proposed based on the above methods. In order to verify the reliability of the TBM selection decision-making model proposed in this paper, we selected three projects for case verification and compared them with the previous TBM selection methods. The results show that the decision-making results of the method proposed in this paper are good. Additionally, the method proposed in this paper is more comprehensive and accurate than the previous methods. The model proposed in this paper can provide better suggestions for TBM selection in the project planning stage.

https://www.mdpi.com/2076-3417/12/21/10802/pdf?version=1667532512

Research on the Tunnel Boring Machine Selection Decision-Making Model Based on the Fuzzy Evaluation Method

Limited drainage tunnels face pore water pressure, water inflow, and permeability challenges. At present, there is little systematic analysis and research on the lining water pressure of sub-sea tunnels, and there is a lack of verification of relevant engineering examples and field monitoring data. Based on the numerical simulation method, this paper discusses the lining water pressure and its reduction coefficient of the horseshoe section tunnel, which is verified by an engineering example. Based on many numerical simulations, the recommended value of the water pressure reduction coefficient considering the thickness of the grouting ring and grouting effect is put forward. The stress law and safety of tunnel lining under different water reduction coefficients are studied, and the safety of lining is evaluated combined with the measured data of lining stress. The results show that the numerical simulation has been well verified. Considering the water pressure according to the water pressure reduction coefficient method proposed in this paper can ensure the structural safety of tunnel lining. The method of lining water pressure reduction coefficient proposed in this paper can provide a reference for the subsequent lining design of the sub-sea tunnel.

/pdf/development-and-application-of-a-new-reduction-coefficient-ql02nhoc.pdf

Development and Application of a New Reduction Coefficient of Water Pressure on Sub-Sea Tunnel Lining

When a TBM carries out tunnelling in complex strata, there is often low tunnelling efficiency and an increase in tunnelling costs due to the improper selection of tunnelling parameters, the wrong estimation of geological conditions, or adverse geology, so it is necessary to evaluate the tunnelling adaptability of TBM construction. In this paper, based on hydraulic engineering in Xinjiang, 11 evaluation indexes of TBM tunnelling adaptability are determined by comprehensively considering the influence of tunnelling parameters, geological conditions, and adverse geological factors on TBM tunnelling adaptability. After that, the membership function of each evaluation index is determined by referring to the existing research results and fuzzy mathematics method, and the weight of each evaluation index is determined and adjusted by the analytic hierarchy process (AHP)–entropy weight (EW) method. Finally, the adaptability evaluation method and evaluation model of TBM tunnelling are put forward. The TBM tunnelling adaptability evaluation model proposed in this paper is verified by relying on the actual situation of three interval tunnels in the project, and good effects are obtained. This study can provide a reference for the evaluation of TBM tunnelling adaptability in similar strata.

/pdf/research-on-an-evaluation-method-for-the-adaptability-of-tbm-cupn4sgq.pdf

Zhongsheng Tan

Papers

Deformation responses of the foundation pit construction of the urban metro station: A case study in Xiamen

Research on the Tunnel Boring Machine Selection Decision-Making Model Based on the Fuzzy Evaluation Method

Development and Application of a New Reduction Coefficient of Water Pressure on Sub-Sea Tunnel Lining

Research on an Evaluation Method for the Adaptability of TBM Tunnelling

Mechanical responses of a shallow-buried super-large-section tunnel in weak surrounding rock: A case study in Guizhou