Results 151 to 160 of about 2,581 (196)

The influence of cyclic loading-unloading rates on the uniaxial mechanical anisotropy of coal. [PDF]

Sci Rep
Xu D, Song H, Zhao L, Tang G, Hu S, Duan C, Song Y.   +6 more
europepmc   +1 more source

DEM-FDM investigation of bedding plane properties' impact on laminated roof stability. [PDF]

Sci Rep
Ma X, Shi Q, Mishra B, Zhao Y, Ouyang Z, Guo Z, Wang J.   +6 more
europepmc   +1 more source

Full-lifecycle catastrophic evolution mechanisms of red-bed translational landslides. [PDF]

iScience
Zhou H, Zhou H, Zhou S, Zheng D, Wu S, Li A.   +5 more
europepmc   +1 more source

Mechanistic and comparative laboratory assessment of lime dosage and uniaxial geogrid on the strength and durability of classified lateritic subgrade. [PDF]

Sci Rep
Imoh UU, Apata AC, Bolorunduro AM, Movahedi Rad M.   +3 more
europepmc   +1 more source

Study on the synergistic mechanism of mechanical response and microstructural evolution in cement-silt-modified aeolian sand. [PDF]

Sci Rep
Li X, Miao C, Yuan B, Yang W, Ren K, Pang X.   +5 more
europepmc   +1 more source

Experimental and statistical analysis of the block orientation effect on the mechanical behaviour of bimrocks. [PDF]

Sci Rep
Rostamlo-Jooshin R, Bahaaddini M, Khosravi MH.   +2 more
europepmc   +1 more source

Investigation and enhancement of stress-dependent compliance characteristics in deep in-situ stress measurements based on anelastic strain recovery (ASR) method. [PDF]

Sci Rep
Li T, Xiang P, Ji H, Li C, Wang W.
europepmc   +1 more source

Synergistic Utilization of Recycled Asphalt Pavement and Fly Ash for High-Ductility Coal Mine Backfill: Performance Optimization and Mechanism Analysis. [PDF]

Materials (Basel)
Shao X, Du X, Tang R, Wang W, Wang Z, Zhang Y, Gao X, Hu S.   +7 more
europepmc   +1 more source

Investigation of Strength Characteristics and Microstructure of Cemented Tailings Backfill. [PDF]

Materials (Basel)
Wang Z, Zhang H, Li X, Shi S, Geng B, Wen Z, Wang H.   +6 more
europepmc   +1 more source

Advanced machine learning models for predicting unconfined compressive strength from point load strength index of rock samples from Chennai and Bangalore. [PDF]

Sci Rep
Kochukrishnan S, Krishnamurthy P, Prasad CV, Navaneethan M.   +3 more
europepmc   +1 more source