Results 161 to 170 of about 232,271 (303)

Leveraging remote sensing, geophysical methods and AHP model to determine optimal locations for green hydrogen production on Egypt's Mediterranean coast. [PDF]

Sci Rep
El Hateem YY, Diab AI, El-Sayed HM, El Maghraby MMS, Fahil AS.   +4 more
europepmc   +1 more source

Failure characteristics and the energy criterion of rock with a through‐going joint under true‐triaxial unloading conditions: Insights from the DEM model

Deep Underground Science and Engineering, EarlyView.
The rock failure mode is significantly influenced by the contributing factors, such as the joint inclination, the initial confining pressure, and the unloading point. We found six typical rock failure modes after a large number of numerical tests. Abstract Excavation unloading damages rock masses, with preferential failure along geological defects in ...
Fei Liu, Changhui Liang, Sijia Liu, Yongjun Zhang, Luo Wang   +4 more
wiley   +1 more source

Enhancing electrical conductivity of coal-derived graphite by boric acid catalysis: Correlating 2H/3R phase ratio with crystallite structure. [PDF]

PLoS One
Zhang X, Chen X, Jiangbaolati Y, Liu S, Sha J, Zhang X, Chen H, Feng S.   +7 more
europepmc   +1 more source

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

Geophysical and multi-criteria decision methods for delineating groundwater potential in coastal terrains: a study from Port Sudan. [PDF]

Sci Rep
Mohammed MAA, Daoud AMA, Kazem MM, Mohammed SH, Szabó NP, Szűcs P.   +5 more
europepmc   +1 more source

Nonsilting transport characteristics of coal slurry in a deep underground fluidization conveying pipeline under the action of a guide vane swirler

Deep Underground Science and Engineering, EarlyView.
Aiming at the scientific frontiers of in situ fluidized mining of deep resources, a deep coal fluidized pipeline lifting system based on hydraulic conveying has been proposed. To solve the issue of particle sedimentation of large particles in horizontal connection sections, a solution involving the installation of guide vane‐type swirlers in the ...
Jiusheng Bao, Shaodi Zhao, Yan Yin, Zhongbin Wang, Shuai Liu, Shirong Ge   +5 more
wiley   +1 more source

Implicit 3D geological modeling method based on expert knowledge constraints: A case study from the Songshugang Mining District, Hengfeng County, Jiangxi Province, China. [PDF]

PLoS One
Jin W, Wu Z, Xu Z, Li H, Li B, Guo F, Zhang Z, Ma F, Li H, Lu P.   +9 more
europepmc   +1 more source

Numerical investigation on the influence of mesoscopic deformation on contact area and hydraulic aperture to fracture seepage

Deep Underground Science and Engineering, EarlyView.
Fluid flow through a single fracture is commonly described by the cubic law. However, deviations from this model are expected because natural fracture surfaces are rough and in contact with each other in discrete regions. In this study, the interactions between fracture closure, contact area, and hydraulic characterization of mesoscopic‐scale rough ...
Chenghao Han, Yuanlin Bai, Weijie Zhang, Jicheng Zhang, Hongfa Ma, Weiye Li   +5 more
wiley   +1 more source

A quantitative framework for subsurface uncertainty assessment using multidisciplinary geoscientific data. [PDF]

MethodsX
Chavanidis K, Abu-Mahfouz IS.
europepmc   +1 more source

Real‐time monitoring of tunnel structures using digital twin and artificial intelligence: A short overview

Deep Underground Science and Engineering, EarlyView.
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi, Danial Jahed Armaghani, Hossein Afrazi, Hadi Fattahi, Pijush Samui   +4 more
wiley   +1 more source