Classification and Predictive Research on Excavability of Surrounding Rock for TBM Construction in Small Section with Soil-Rock Composite Geological Condition
The efficient construction and intelligent control of TBM heavily rely on the classification and real-time i-dentification of surrounding rock excavability.To address this,we establish a classification standard for surrounding rock excavability in TBM construction under geological conditions characterized by small sections and soil-rock com-binations based on actual data(penetration thrust and torque per unit penetration)from the Anyang Western Water Diversion Project.Moreover,we introduce the PCA-RF model for real-time identification and prediction of sur-rounding rock excavability,and then compared the results with those of BP,SVR,and RF models.Our research yields the following conclusions:1)The classification standard for surrounding rock excavability in TBM construc-tion under the geological conditions of small sections and soil-rock combinations proves to be applicable.This stand-ard resolves the limitations of traditional methods for classifying surrounding rock in soil-rock composite environ-ments.2)The PCA-RF model demonstrates an identification and prediction accuracy of 98.3％for the surrounding rock excavability in TBM construction under the geological conditions of small sections and soil-rock combinations.This accuracy surpasses that of the BP,SVR,and RF models and fulfills the demands of engineering construction.
tunnel boring machine(TBM)small sectionsoil-rock combinationclassification of excavabilityPCA-RF model
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