Prediction and mechanism of underground hydrogen storage in nanoporous media: Coupling molecular simulation, pore-scale simulation and machine learning DOI
Han Wang, Ke Hu, Weipeng Fan

et al.

International Journal of Hydrogen Energy, Journal Year: 2024, Volume and Issue: 101, P. 303 - 312

Published: Dec. 31, 2024

Language: Английский

Hybrid XGB model for predicting unconfined compressive strength of solid waste-cement-stabilized cohesive soil DOI
Qianglong Yao, Yiliang Tu, Jiahui Yang

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 449, P. 138242 - 138242

Published: Sept. 13, 2024

Language: Английский

Citations

10

Data-driven predictive model of coal permeability based on microscopic fracture structure characterization DOI Creative Commons
Tianhao Yan, Xiaomeng Xu, Jiafeng Liu

et al.

Journal of Rock Mechanics and Geotechnical Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1

State of the Art of Coupled Thermo–hydro-Mechanical–Chemical Modelling for Frozen Soils DOI Creative Commons

K.K. Li,

Zhen‐Yu Yin

Archives of Computational Methods in Engineering, Journal Year: 2024, Volume and Issue: unknown

Published: July 29, 2024

Abstract Numerous studies have investigated the coupled multi-field processes in frozen soils, focusing on variation soils and addressing influences of climate change, hydrological processes, ecosystems cold regions. The investigation multi-physics field has emerged as a prominent research area, leading to significant advancements coupling models simulation solvers. However, substantial differences remain among various due insufficient observations in-depth understanding processes. Therefore, this study comprehensively reviews latest process numerical methods, including thermo-hydraulic (TH) coupling, thermo-mechanical (TM) hydro-mechanical (HM) thermo–hydro-mechanical (THM) thermo–hydro-chemical (THC) thermo–hydro-mechanical–chemical (THMC) coupling. Furthermore, primary methods are summarised, continuum mechanics method, discrete or discontinuous simulators specifically designed for heat mass transfer modelling. Finally, outlines critical findings proposes future directions multi-physical modelling soils. This provides theoretical basis mechanism analyses practical engineering applications, contributing advancement management

Language: Английский

Citations

8

A novel domain adaptation method with physical constraints for shale gas production forecasting DOI

Liangjie Gou,

Zhaozhong Yang,

Chao Min

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 371, P. 123673 - 123673

Published: June 21, 2024

Language: Английский

Citations

5

Predicting frost heave in soil-water systems using the generalized regression neural network optimized with particle swarm optimization algorithm DOI

Honghong Cai,

Chong Wang, Ziqiang Ma

et al.

Cold Regions Science and Technology, Journal Year: 2024, Volume and Issue: 226, P. 104291 - 104291

Published: Aug. 8, 2024

Language: Английский

Citations

4

Utilizing gene expression programming strategies for estimating relative uplift pressure head at key-points beneath straight horizontal aprons DOI

Parya Karimzadeh,

Farzin Salmasi, Bahram Nourani

et al.

ISH Journal of Hydraulic Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 14

Published: Jan. 18, 2025

Seepage flow beneath the hydraulic structures creates uplift pressure on its floor that affects performance of these structures. Prior studies have assumed cutoff wall is solid, however, perfect impermeability does not occur in real world. This investigation yields an acceptable model for computing relative at key points created by a vertical positioned different locations (at upstream end, intermediate location, and downstream end) underneath A series numerical models based finite element method (FEM) were developed. With generated data, Gene Expression Programming (GEP) used to calculate pressure. The GEP yielded high values R2, R, KGE, NSE, low MAE, RE%, RMSE. Additionally, diagrams allowed better estimation created. NSE KGE indices extracted using are range 0.75

Language: Английский

Citations

0

Exploring U-Net Deep Learning Model for Landslide Detection Using Optical Imagery, Geo-indices, and SAR Data in a Data Scarce Tropical Mountain Region DOI
Johnny Alexánder Vega, Sebastián Palomino‐Ángel, César Augusto Hidalgo Montoya

et al.

PFG – Journal of Photogrammetry Remote Sensing and Geoinformation Science, Journal Year: 2025, Volume and Issue: unknown

Published: March 11, 2025

Language: Английский

Citations

0

Simulation of soot filtration and oxidation characteristics in the porous wall of a wall-flow CDPF DOI
Haozhong Huang,

Shunlong Tao,

Riyang Chen

et al.

Chemical Engineering Science, Journal Year: 2025, Volume and Issue: unknown, P. 121523 - 121523

Published: March 1, 2025

Language: Английский

Citations

0

Fractal-based analysis of stress-induced dynamic evolution in geometry and permeability of porous media DOI
Kangsheng Xue, Hai Pu, Ming Li

et al.

Physics of Fluids, Journal Year: 2025, Volume and Issue: 37(3)

Published: March 1, 2025

Accurate description of cavity geometric structure and quantitative estimation the permeability porous media are crucial for understanding fluid flow mass transport in various geosciences geological engineering. A fractal model was constructed by combining theory, Poiseuille's law flow, Darcy's law, taking into account characteristic parameters three-dimensional (3D) pore fracture network structure. The mechanical response tortuous capillaries analyzed theoretically to elucidate dynamic evolution geometry media. In addition, parameter sensitivity stresses is relation geologic reservoir. Results indicate that: (i) an incremental rise stress results increases dimension, porosity, quantity medium while concurrently inducing a decline average radius; (ii) obtained based on mathematical this study proposed digital core reconstruction shows good agreement; validates permeability. Mathematical can be used describe relationship between microstructure media; (iii) during uniaxial strain process media, effective surface porosity uniformly influences across all directions, adhering same principle. As diminishes, intensifies. Conversely, perpendicular compression direction diminishes with increasing tortuosity, parallel escalates rising tortuosity.

Language: Английский

Citations

0

Constitutive modeling of heterogeneous materials by interpretable neural networks: A review DOI Open Access
Antonio Bilotta, Emilio Turco

Networks and Heterogeneous Media, Journal Year: 2025, Volume and Issue: 20(1), P. 232 - 253

Published: Jan. 1, 2025

Language: Английский

Citations

0