Archive/Research on the Cutting Efficiency of TBM Cutters in Jointed Rock Mass Based on a Multivariate Nonlinear Regression Model
Research on the Cutting Efficiency of TBM Cutters in Jointed Rock Mass Based on a Multivariate Nonlinear Regression Model
Pengfei Song, Bingquan Liu, Zhiwen Tan et al.
16. Juli 2026
en

Abstract

The factors influencing the cutting efficiency of tunnel boring machine (TBM) cutters in jointed rock masses are very complex. To investigate TBM disc cutter cutting performance under variable cutter spacing and penetration depth, Particle Flow Code (PFC) 2D discrete element numerical simulation is carried out on a granite jointed rock mass. The numerical model adopts a disc cutter tip angle of 20° and tip width of 12 mm, joint spacing of 5 mm, joint inclination angle of 45°, and lateral confining pressure of 2.5 MPa; cutter spacing is set to 60, 80, 100, 120 mm, and penetration depth ranges from 2 mm to 10 mm as research variables. The force chain distribution, jointed rock mass failure modes, penetration load and cutting efficiency of disc cutters under different working conditions are systematically analyzed. An indicator for measuring the cutting efficiency called “crack propagation specific energy” is proposed. Based on the numerical simulation results, a complete quadratic multivariate nonlinear regression model is established to predict cutting efficiency. The results show that the optimal cutting performance occurs at a cutter spacing of 80 mm, where the shear failure proportion of contact bonds and cutting efficiency simultaneously reach the maximum, while incomplete penetration of joint failure surfaces and small cutting areas appear under 60 mm and 120 mm cutter spacing. With the increase in the disc cutter penetration depth, the shear failure proportion of contact bonds rises continuously, and the number of tensile failure microcracks gradually decreases. The research outcomes can provide a theoretical reference for TBM shield tunnel construction parameter optimization.

IPC Classification

H01

Keywords

researchcuttingefficiencycuttersjointedrockmassbasedmultivariatenonlinearregressionmodelinfrastructuresfactorsinfluencingtunnelboringmachinemassesverycomplexinvestigatedisccutter
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