Results 161 to 170 of about 294,823 (253)
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li +4 more
wiley +1 more source
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 +7 more
wiley +1 more source
Are Agricultural Measures for Groundwater Protection Beneficial When Compared to Purification of Polluted Groundwater? [PDF]
The groundwater resource, the drinking water areas and the surface water quality can be protected by measures, e.g. by reductions of pesticide and nutrient applications, conversion of arable land to grasslands or forests etc.
Hasler, Berit, Lundhede, Thomas
core
For the roof of coral reef limestone caverns, a novel tension‐shear composite failure mechanism was developed. The most critical tensile crack model was identified using a hybrid optimization algorithm, and the stability of the cavern roof was analyzed accordingly.
Dongsheng Xu, Chenxu Li, Chuantan Hou
wiley +1 more source
Investigation on tunnel stability considering pipe‐roof support with transparent soil technology
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
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
This study proposes an exponentially‐constrained Gaussian mixture model (EcGMM) to quantify vertical fracture heterogeneity in stratified roof strata. The model integrates a piecewise exponential decay term capturing global stress dissipation with Gaussian components representing localized fracture intensification at lithological interfaces.
Huiqing Yuan +5 more
wiley +1 more source
To address seepage‐induced tunnel face collapse, this study develops a two‐phase double‐point MPM framework to capture large‐deformation hydro‐mechanical interactions. Incorporating a cementation‐based constitutive model with dynamic permeability updates, the model is successfully validated against saturated granular‐column collapse experiments ...
Yue Tong +6 more
wiley +1 more source
This study derives an explicit expression for the lining force transmission coefficient of underground gas storage lined rock caverns (LRCs) via the complex variable function method, considering the displacement release coefficient. Taking the 1‰ tensile strain of surrounding rock as the criterion to determine lining thickness, it systematically ...
Yaohui Li, Jianping Yang, Weizhong Chen
wiley +1 more source
The graphical abstract presents a structured decision‐support framework for assessing the feasibility of converting depleted oil and gas wells into geothermal energy systems. The left panel illustrates a comprehensive, multi‐stage decision‐making framework progressing from prefeasibility screening and technical–economic analysis to policy alignment ...
Karolina Bieryt +3 more
wiley +1 more source

