Results 71 to 80 of about 123,575 (347)

Modeling and experimental validation of bolt–grout bond–slip behavior for deep underground excavation support

open access: yesDeep Underground Science and Engineering, EarlyView.
A novel shear‐lag model, validated by pull‐out tests, incorporates a constant bond stress stage to predict the complete load–displacement response of grouted rock bolts, providing a new tool for optimizing anchorage length and material toughness in deep underground engineering. Abstract The stability of rock masses in deep underground excavations, such
Wenhui Bian   +6 more
wiley   +1 more source

Chemical analyses of the Keivy peralkaline granites

open access: yes, 2019
Silicate chemical analyses of the Early Precambrian Keivy peralkaline granites from the northeastern Fennoscandian shield (Kola peninsula, Russia) are given in two tables. Data on both individual samples of peralkaline granites and averages for different
Balagansky, V (via Mendeley Data)
core   +2 more sources

Petrographic features as an effective indicator for the variation in strength of granites

open access: yes, 2016
The textural characteristics of four different granites from the lower Himalayan regime in north-western Pakistan have been examined in relation to their effect on the mechanical nature of rock.
M. Sajid   +4 more
semanticscholar   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

open access: yesDeep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu   +8 more
wiley   +1 more source

Thermal‐induced fracture evolution and acoustic signature of Beishan granite: Insights into tensile strength of barrier system for high‐level radioactive waste disposal

open access: yesDeep Underground Science and Engineering, EarlyView.
The tensile strength of granite, a proposed host for nuclear waste, degrades severely above 400°C. We link this to specific microcracking patterns captured by acoustic emission, establishing a scientific basis for assessing repository safety under thermal load.
Wei Zeng   +7 more
wiley   +1 more source

An isotope study of the felsic units of the Bushveld Large Igneous Province, South Africa

open access: yes, 2010
Includes abstract.An O, H, Sr and Nd isotope study was carried out on the ~ 2059 Ma Bushveld granites and granophyres.
Fourie, Duane
core  

Probabilistic prediction of rate‐dependent rock strength using natural gradient boosting and Gaussian process regression

open access: yesDeep Underground Science and Engineering, EarlyView.
Probabilistic natural gradient boosting and Gaussian process regression models accurately predict rate‐dependent rock strength across lithologies. Static strength and strain rate dominate, while geometric factors have minimal influence, enabling interpretable and uncertainty‐aware predictions for dynamic geomechanical applications. Abstract The dynamic
Hadi Fathipour‐Azar
wiley   +1 more source

Les granites syntectoniques sud-armoricains

open access: yes, 2023
National audienceLes géologues structuraux et tectoniciens de Rennes ont non seulement inventé des structures tectoniques remarquables (structure C/S, pli en fourreau), mais ils l'ont fait dans le domaine sud-armoricain, pour certaines d'entre elles à ...
Boulvais, Philippe
core   +1 more source

Are granites and granulites consanguineous?

open access: yes, 2015
An important question in petrology is whether the production of granite magma in orogens is a closed-system process with respect to mass input from the mantle. This is commonly addressed by inversion of geochemical data from upper crustal granites, but a
Clark, Chris   +10 more
core   +1 more source

Explainable hybrid stacking ensemble method for hard rock pillar stability prediction and engineering applications

open access: yesDeep Underground Science and Engineering, EarlyView.
This research proposes an interpretable hybrid stacking ensemble framework, optimized by the Sparrow Search Algorithm, to enhance hard rock pillar stability prediction. By integrating six machine learning models—k‐nearest neighbors, support vector machines, random forests, Gradient Boosting Decision Tree, eXtreme Gradient Boosting, and Light Gradient ...
Ning Wang   +3 more
wiley   +1 more source

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