Results 231 to 240 of about 76,051 (383)

Review of artificial intelligence applications in geothermal energy extraction from hot dry rock

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper systematically summarized the applications of artificial intelligence (AI) in hot dry rock (HDR) geothermal exploitation and discussed the limitations and opportunities. A novel intelligent HDR exploitation system was proposed to promote the development of HDR toward more efficiency, economy, and intelligence.
Kun Ji   +5 more
wiley   +1 more source

Simulation of CO2–water two‐phase fluid displacement characteristics based on the phase field method

open access: yesDeep Underground Science and Engineering, EarlyView.
In the present study, a two‐dimensional numerical model of porous media was developed using the actual pore structure of the core sample. The phase field method was utilized to simulate the impact of the displacement velocity, the water–gas viscosity ratio, and the density ratio on the flow behavior of two‐phase fluids in porous media. Abstract The two‐
Changnü Zeng   +3 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

open access: yesDeep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan   +4 more
wiley   +1 more source

Creep properties and constitutive model of diabase in deep water conveyance tunnels

open access: yesDeep Underground Science and Engineering, EarlyView.
The axial and lateral creep characteristics of diabase were analyzed based on compression creep tests. The nonlinear viscoelastic‐plastic model capable of describing the whole creep process was established based on the fractional derivative and damage theories.
Zhigang Tao   +5 more
wiley   +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

open access: yesDeep 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   +4 more
wiley   +1 more source

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