Rock mass characteristics model for TBM penetration rate prediction- an updated version

Rock mass characteristics (RMC) model is the one of serval prediction models for TBM penetration rate that considers the interaction between the rock mass and cutters. The first version was developed in 2009. However, it was a relative site specific model and the machine parameters were ignored. To update the RMC model, a comprehensive data base which included the results of the laboratory cutting tests and the in site penetration tests was compiled. Firstly, the correction factors of the cutter spacing and cutter shape were set up based on the laboratory tests, which were then used to normalize the data with the given machine parameters. Finally, two critical parameters in RMC model, i.e., the specific rock mass boreability index (SRMBI) and the exponent c, were estimated by regression analysis using the rock mass parameters. Now SRMBI in the updated model represents the boreability of a rock mass excavated by the given machine setup at penetration rate of 1 mm/rev. A higher SRMBI implies the rock mass is more difficult to be bored. The exponent c decides the increment in cutter normal force for the increasing penetration rate, c together with the rock mass strength reflect the different TBM cutting modes. Since the rock specimens in the laboratory tests was intact and the rock masses in the in site penetration tests contain the joints, the updated model reflects the reduction in the required thrust force caused by the joints in nature. The updated RMC model covered a wide range of the geological context and machine parameters. It could be used to predict TBM penetration rate and optimize the operating parameter in the given stroke. The equations in the updated model need further modification when more test data is collected, and the in situ stress needs to be taken into consideration.

Automated summary

The Rock Mass Characteristics (RMC) model is a prediction model for TBM penetration rate that considers the interaction between the rock mass and cutters. The updated model incorporates comprehensive data from both laboratory tests and in site penetration tests to improve accuracy and optimization for TBM operation parameters. It accounts for factors such as cutter spacing, cutter shape, specific rock mass boreability index, and the exponent c to reflect different TBM cutting modes.