3D point cloud lithology identification based on stratigraphically constrained continuous clustering. [PDF]
Gan B +6 more
europepmc +1 more source
Seismic microzonation of Breginjski kot (NW Slovenia) based on detailed engineering geological mapping. [PDF]
Kokošin J, Gosar A.
europepmc +1 more source
This study investigates the coupled thermo‐mechanical behavior of granite during heating and cooling through a combination of laboratory tests and finite element analysis. The thermal conductivity, mineral composition, mass loss rate, micro‐crack observation, and thermal fracture characteristics of granite under various temperature conditions are ...
Rui Pang +8 more
wiley +1 more source
Modeling subsurface instabilities for urban infrastructure resilience via novel joint microgravity and geotechnical methods. [PDF]
Bery AA, Gnapragasan J, Akingboye AS.
europepmc +1 more source
Quantification of rheological parameters in deep‐sea mining plumes
This study explores the variations in rheological properties observed during the propagation of deep‐sea mining plumes, utilizing rheological test data obtained from kaolin clay plumes. Subsequently, taking into account the differences in sediment properties, the effects of clay content and clay mineral composition on the rheological parameters of ...
Xiaolei Liu +3 more
wiley +1 more source
Crustal constraints on the surface expression of mantle upwelling in a back-arc passive margin setting. [PDF]
Hwang JY, Chang SJ, Sohn YJ, Kim KH.
europepmc +1 more source
Hydraulic fracturing in tight sandstone and fracture propagation characteristics using backscattered electron‐scanning electron microscope (BSE‐SEM) images. Abstract This study focuses on hydraulic fracturing experiments conducted under triaxial conditions on tight sandstone specimens from Shivpuri district, Madhya Pradesh, India.
Pankaj Rawat, Narendra Kumar Samadhiya
wiley +1 more source
Integrated acoustic identification of a petit-spot volcanic field in the oldest Pacific plate. [PDF]
Machida S +5 more
europepmc +1 more source
Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley +1 more source
Landslide Susceptibility Evaluation Integrating Machine Learning and SBAS-InSAR-Derived Deformation Characteristics: A Case Study of Yining County, Xinjiang. [PDF]
Ma T, Yi X, Ci H, Wang R, Yang H, Yan Z.
europepmc +1 more source

