A comprehensive investigation of the relationship between propulsion speed and water influx in coal mine TBM inclined shaft projects.

• Tác giả: Mingjing Li, Chuanxin Rong, Xiaojian Wang, Qing Yang
• Ngôn ngữ: eng
• Thông tin xuất bản: England : Scientific reports , 2025
• Bộ sưu tập: NCBI
• ID: 493819

Tóm tắt

 To explore the influence of water inflow on the safe and efficient tunneling construction of TBM in water-rich Luohe Formation sandstone. Based on the tunneling data at the main inclined shaft TBM construction site of Kekegai Coal Mine, a relationship model between tunneling speed and water inflow is established by using statistical analysis and machine learning theory
  XRD and SEM tests on the microstructural components of Luohe Formation sandstone are carried out to analyze the mechanism of water inflow in argillaceous cemented sandstone affecting the tunneling speed of TBM. The Libsvm support vector machine (SVR) model is more effective than multiple regression and random forest (RF) models in evaluating nonlinear problems. When the Gaussian radial basis function (RBF) is selected as the kernel function, the prediction result R