Prediction of Surface Settlement Induced by Large-Diameter Shield Tunneling Based on Machine-Learning Algorithms

Table 1

Parameters of the project.

Data	Type	Variable
Input	Equipment parameter	Cutter torque, cutter rotation speed, propulsion speed, penetration, total thrust, cutter extrusion force, roll angle, slope angle, shield tail deviation, notch deviation, guide mileage, propel cylinder stroke difference, top pressure of slurry silo, air cushion chamber pressure, slurry inflow, sludge discharge, slurry inlet density, sludge density, outlet pressure of sludge inlet pump, suction pressure of sludge inlet pump, inlet pressure of slurry discharge pump, etc. (132 in total)
	Geological parameter	Natural moisture content, natural density, uniaxial compressive strength, modulus of elasticity, void ratio, cohesion, internal friction angle, organic matter content, SPT blow count, permeability coefficient, groundwater level, specific gravity, liquid limit, plastic limit, compression modulus, compressibility coefficient (16 in total)
	Geometric parameter	Cover depth
Output	Settlement parameter	Maximum surface settlement