Development of a PLSR-BRT Model for Predicting the Performance of Tunnel Boring Machines
Changbin Yan
College of Hydraulic and Civil Engineering, Zhengzhou Univ., Zhengzhou, Henan 450001, China.
Gaoliu Li
College of Hydraulic and Civil Engineering, Zhengzhou Univ., Zhengzhou, Henan 450001, China.
Hejian Wang
Kaifeng Power Supply Company, State Grid Henan Electric Power Company, Kaifeng, Henan 475000, China; formerly, College of Hydraulic and Civil Engineering, Zhengzhou Univ., Zhengzhou, Henan 450001,
Shuqian Duan
School of Civil Engineering, Zhengzhou Univ., Zhengzhou, Henan 450001, China (corresponding author)
Abstract Scientific prediction of the penetration rate (PR) of tunnel boring machines (TBMs) is of great significance to the selection of tunnel construction methods, the prediction of construction...
https://ascelibrary.org/doi/abs/10.1061/IJGNAI.GMENG-7738
Development of a PLSR-BRT Model for Predicting the Performance of Tunnel Boring Machines | International Journal of Geomechanics | Vol 23, No 3
ascelibrary.orgAbstract Scientific prediction of the penetration rate (PR) of tunnel boring machines (TBMs) is of great significance to the selection of tunnel construction methods, the prediction of construction...