Results 131 to 140 of about 357,437 (293)

Fluid‐induced slip on a rate‐and‐state fault during co‐ and post‐injection: The interplay of fluid pressure diffusion and poroelastic stress

open access: yesDeep Underground Science and Engineering, EarlyView.
Fault slip can occur ahead of the injection pressure front due to poroelastic stress. Our model captures the interaction of pressure, stress, and friction, providing new insights into injection‐induced seismicity and post‐injection fault slip. Shut‐in operations can either mitigate or accelerate seismic events depending on fault conditions and ...
Qifeng Xie, Lei Wang, Qi Li
wiley   +1 more source

Relocating Seismicity in the 2014–2015 Sheldon, Nevada Earthquake Swarm

open access: yes, 2015
Since mid-July 2014, an earthquake swarm has been occurring in northwestern Nevada approximately 250 km north of Reno. Seismicity rates in the swarm slowly increased over a four month span culminating in a number of mid-magnitude 4 earthquakes in early ...
Becerra, Rebeca
core  

Uniaxial compressive strength prediction and ratio parameter optimization of titanium tailings composite backfill materials using intelligent hybrid models

open access: yesDeep Underground Science and Engineering, EarlyView.
Based on the 90 datasets, ERT and four optimization algorithms were used to build four hybrid models to predict the UCS of the backfill body. The SMA‐ERT model was the most effective model, and it can reliably guide the design of the backfill ratio parameters. Abstract This study analyzed the feasibility of using titanium (Ti) tailings as a backfilling
Weijun Liu, Zida Liu, Zhixiang Liu
wiley   +1 more source

Reactivation of basement faults by deep fluids during the 2017 Changdao earthquake swarm, Eastern China

open access: yesCommunications Earth & Environment
Ancient basement faults within plate interiors may be reactivated by external forces, generating intraplate seismicity. However, the driving mechanisms remain unclear.
Peng Wang   +3 more
doaj   +1 more source

Investigation on tunnel stability considering pipe‐roof support with transparent soil technology

open access: yesDeep Underground Science and Engineering, EarlyView.
This study integrates transparent soil technology, 3D reconstruction and numerical simulation to captures the full‐field deformation of shield tunnel instability. Results demonstrate that pipe‐roof support enhances stability via the “soil‐arching barrier effect,” effectively restraining failure wedge development by extending stress transfer paths ...
Zhi Jia   +4 more
wiley   +1 more source

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

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

open access: yesDeep 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   +5 more
wiley   +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

ACTIVITY AND Vp/Vs RATIO OF VOLCANO-TECTONIC SEISMIC SWARM ZONES AT NEVADO DEL RUIZ VOLCANO, COLOMBIA

open access: yesEarth Sciences Research Journal, 2010
An analysis of the seismic activity for volcano-tectonic earthquake (VT) swarms zones at Nevado del Ruiz Volcano (NRV) was carried out for the interval 1985- 2002, which is the most seismic active period at NRV until now (2010). The swarm-like seismicity 
Londoño B. John Makario
doaj  

Home - About - Disclaimer - Privacy