Results 251 to 260 of about 76,814 (294)

Slit tube responses and rock fracture characteristics in slit charge blasting under high in situ stress

open access: yesDeep Underground Science and Engineering, EarlyView.
In this article, the finite element method‐smoothed particle hydrodynamics adaptive coupling algorithm is applied to numerically simulate and analyze the dynamic response of the slit tube and the crack propagation under high in situ stress. The dynamic response of the slit tube mainly exhibits radial response in the vertical direction of the slit and ...
Zhe Sui   +3 more
wiley   +1 more source

Experimental and constitutive modeling investigations on marble in Jinping Underground Laboratory

open access: yesDeep Underground Science and Engineering, EarlyView.
The objective of this study is to reveal the underlying mechanisms behind the brittle‐ductile transition of the marble through a combination of experimental research and constitutive modeling. A series of triaxial compression and triaxial cyclic loading tests are conducted.
Susheng Wang   +3 more
wiley   +1 more source

Characterization of the permeability evolution of hard and soft rocks under hydro‐mechanical coupling conditions

open access: yesDeep Underground Science and Engineering, EarlyView.
The permeability variation of rocks during complete stress–strain processes was investigated. A mathematical model describing the influence of rock damage on permeability was constructed. The permeability–stress relationship between soft rock and hard rock was proposed.
Zhen Huang   +6 more
wiley   +1 more source

Strain‐based modeling and analysis for rock blasting and geomechanics applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper introduces a novel strain‐based modeling approach for blasting and geomechanical applications, using measurable variables like particle velocity, strain, and displacement. By bypassing complex constitutive relations, strain‐based models capture critical blasting trends and full‐blast design parameters with minimal calibration.
Ruilin Yang
wiley   +1 more source

Probability prediction of true‐triaxial compressive strength of intact rocks based on the improved PSO‐RVM model

open access: yesDeep Underground Science and Engineering, EarlyView.
In this work, we propose an improved particle swarm optimization (PSO) algorithm and develop an improved PSO‐relevance vector machine (RVM) model as a substitute for traditional true‐triaxial testing. The model's high prediction accuracy was validated through comparisons with two other machine learning methods and five three‐dimensional Hoek–Brown type
Qi Zhang   +4 more
wiley   +1 more source

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