Results 61 to 70 of about 15,696 (266)

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

Deep 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, Shijie Li, Xiaozhao Li, Zhen Huang, Shangtong Yang, Wentao Xu, Biao Wang, Yun Wu   +7 more
wiley   +1 more source

Safety evaluation of high rockfill dams subjected to earthquakes based on site-related response spectra

Yantu gongcheng xuebao, 2019
Based on the provisions of “China's code for seismic design of hydraulic structures of hydropower project” (NB 35047-2015), the detailed effects of seismic parameters determined by use of different design response spectra including site-related response ...
LI Hong-jun , ZHU Kai-bin , ZHAO Jian-ming , LIU Xiao-sheng , YANG Zheng-quan , YANG Yu-sheng
doaj   +1 more source

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

Deep 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

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

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

On the Effect of Damping Modeling in Mixed Reinforced Concrete-Structural Steel Buildings Subjected to Seismic Motions

Eng
Damping modeling significantly influences the numerical seismic response of buildings, something that, despite being repeatedly emphasized in earthquake engineering research, is still overlooked even by seismic codes.
Paraskevi K. Askouni, George A. Papagiannopoulos   +1 more
doaj   +1 more source

Combination of CO 2 ${\text{CO}}_{2}$ storage and geothermal energy production in porous and fractured superhot geothermal systems

Deep Underground Science and Engineering, EarlyView.
The graphical abstract depicts the workflow for porous‐ and fractured‐media simulations, where stochastically generated discrete natural fractures are required for the fracture‐media simulation. Abstract CO 2 ${\text{CO}}_{2}$ leakage is one of the main risks and barriers to geologic carbon storage. However, under the high‐temperature and high‐pressure
Christoph Scherounigg, Rotman Criollo, Victor Vilarrasa, Keita Yoshioka   +3 more
wiley   +1 more source

Multi‐factor coupling effects in hydraulic fracturing of laminated shale: Experimental insights and physics‐informed neural network‐driven optimization

Deep Underground Science and Engineering, EarlyView.
This study establishes a multi‐factor coupling framework for predicting breakdown pressure in laminated shale by integrating experimental hydraulic fracturing tests, physics‐informed neural networks (PINNs), and Sobol sensitivity analysis. It reveals how differential stress, the bedding dip angle, and the injection rate interact to influence fracture ...
Tao Wang, Guoyao Xu, Liyuan Liu, Yao Zhang, Sitao Zhu, Hongyang Chu, Kaikai Zhao   +6 more
wiley   +1 more source

Deep learning model for co-seismic response detection of fixed-point deformation data

地震科学进展
Co-seismic response identification of fixed-point deformation data currently relies on manual selection, and no automatic co-seismic response detection method has yet been applied.
Zhao Peng, Yongqian Shao, Yingnan Li, Wenbing Liu, Liming Zhao   +4 more
doaj   +1 more source

World's fastest 10 000‐m breakthrough: The XY‐22 well redefines deep‐earth access in the Tarim Basin

Deep Underground Science and Engineering, EarlyView.
The Tarim Basin in northwestern China hosts one of the world's deepest petroleum systems, exemplified by the XY‐22 ultra‐deep well (bottom depth: 11 116 m; ~220°C, ~145 MPa). This study integrates tectonic mapping, geological cross‐sections, ultraviolet fluorescence microscopy, and optical photothermal infrared (OPTIR) spectroscopy to characterize ...
Qingwen Tan, Fangkai Liu, Sen Zhu, Guangyou Zhu, Haiping Huang   +4 more
wiley   +1 more source