Results 81 to 90 of about 373 (109)

Empirical approaches for rock burst prediction: A comprehensive review and application to the new level of El Teniente Mine, Chile. [PDF]

Heliyon
Cortés N, Hekmatnejad A, Pan P, Mohtarami E, Pena A, Taheri A, González C.   +6 more
europepmc   +1 more source

DEM simulation study on the mechanical and micro-fracture characteristics of jointed coal under direct tensile conditions. [PDF]

Sci Rep
Zhang H, Wang E, Yue J, Miao B, Xi D, Teng X.   +5 more
europepmc   +1 more source

Mechanical mechanism analysis of rockburst in deep-buried tunnel with high in-situ stress. [PDF]

Sci Rep
Zhou C, Dong Z, Zhou C, Fu P, Luo S.
europepmc   +1 more source

Research on prevention and control technology of classified rockburst in TBM construction of deeply buried tunnels. [PDF]

Sci Rep
Yang Y, Du L, Li Q, Gong C, Song Y, Wang M.   +5 more
europepmc   +1 more source

Catastrophic instability criterion for roadway roof and sidewall rock mass under deep-hole roof blasting in Songshan coal mine. [PDF]

Sci Rep
Guo D, Chen J, Wang H, Wei Z, Gao Q.
europepmc   +1 more source

A unified constitutive model for yielding single-lining tunnel supports with resistance limiters under large deformation. [PDF]

Sci Rep
Zohaib M, Wenge Q, Hussain MA, Pan W, Akbar M, Abdennaji TS, Flah A.   +6 more
europepmc   +1 more source

Investigation into the mechanical properties and impact tendency of coal-rock composite structures with peridynamics: A study on predicting the occurrence tendency of dynamic pressure in coal-rock structures. [PDF]

PLoS One
Dai J, Zhao M, Wang Z, Gao H.
europepmc   +1 more source

Mechanism and early warning of coal mine rockburst accident based on SD-STAMP-DEMATEL. [PDF]

Heliyon
Shi J, Wang S, Shao J.
europepmc   +1 more source

Machine Learning-Based Pitting Rate Classification and Prediction for 316L Stainless Steel in NaClO₃ and NaCl Environment. [PDF]

Materials (Basel)
Zhang C, Yao J, Zhang Z.
europepmc   +1 more source

Developing SHAP interpretable machine learning models for assessing biopsychosocial risk in female drug users: a small sample study. [PDF]

Front Psychiatry
Wang X, Gao M, Gao J, Geng F, Yuan X, Cheng X, Xing Q, Ming Y, Zhu G, Shi H, Wang P.   +10 more
europepmc   +1 more source