Results 211 to 220 of about 29,969 (311)

Underground Nests and Foraging Activity of Invasive Conehead Termites (<i>Nasutitermes corniger</i>; Blattodea: Termitidae). [PDF]

Insects
Thorne BL, Tenn KE, Alspach S, Roden MN, Clark MS.   +4 more
europepmc   +1 more source

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

Deep 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

A method for detecting safety helmets underground based on the YOLOv11-SRA model. [PDF]

Sci Rep
Wang L, Wan X, Shi X, Wang A.
europepmc   +1 more source

Rock mechanical properties under reconstructed deep in situ thermo–hydro–mechanical conditions: Implications for CO₂‐related injection scenarios

Deep Underground Science and Engineering, EarlyView.
The graphical abstract illustrates a reconstructed in situ thermo‐hydro‐mechanical (THM) framework in which porosity serves as the central variable linking stress, pore pressure, and temperature to evolving mechanical properties of rocks. Under burial conditions, in situ stress, pore pressure, and temperature jointly govern volumetric strain and ...
Mingyuan Lu, Jun Wang, Zixiong Qi, Ruixuan Chen, Hongtao Wang, Hongwei Zhou   +5 more
wiley   +1 more source

Investigation on Mechanical Performance and Flame-Retardancy of Polymer Cement-Based Coatings with Ettringite Modified by Amphiphilic Group. [PDF]

Polymers (Basel)
Yin F, Ma K, Gan X, Li L, Zhang H, Lu L.
europepmc   +1 more source

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

Deep 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, Guoyan Zhao, Meng Wang, Taraka Pattela   +3 more
wiley   +1 more source

Coupled Effects of Elevated Water Pressure and Limestone Powder on Thaumasite Sulfate Attack in Cement Mortar. [PDF]

Materials (Basel)
Li H, Han T, Tan Y, Yang W.
europepmc   +1 more source

Investigation on the failure evolution characteristics of surrounding rock in deep cross‐fault roadway: Based on physical model test and numerical simulation

Deep Underground Science and Engineering, EarlyView.
This study reveals the failure evolution characteristics of deep cross‐fault roadway surrounding rock under excavation support and periodic weighting. Periodic weighting readily induces fault activation, with the spatial distribution of failed rock masses being controlled by the fault strike and dip.
Tiezhu Li, Suping Peng, Jing Zheng, Zhanhua Yang, Qijun Tian   +4 more
wiley   +1 more source

Occupational health and safety culture in coal mining: a comparative study of underground and surface workers in Türkiye. [PDF]

Sci Rep
Sezer F, Tuylu S, Eker H, Adiguzel D, Demir I.   +4 more
europepmc   +1 more source