
Fuel, Journal Year: 2024, Volume and Issue: 384, P. 133953 - 133953
Published: Dec. 6, 2024
Language: Английский
Fuel, Journal Year: 2024, Volume and Issue: 384, P. 133953 - 133953
Published: Dec. 6, 2024
Language: Английский
Natural Resources Research, Journal Year: 2024, Volume and Issue: 33(5), P. 2037 - 2062
Published: June 19, 2024
Language: Английский
Citations
10Rock Mechanics and Rock Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 5, 2025
Language: Английский
Citations
2Underground Space, Journal Year: 2025, Volume and Issue: unknown
Published: March 1, 2025
Language: Английский
Citations
1Rock Mechanics and Rock Engineering, Journal Year: 2024, Volume and Issue: 57(11), P. 9781 - 9804
Published: July 11, 2024
Language: Английский
Citations
8Transportation Geotechnics, Journal Year: 2024, Volume and Issue: 47, P. 101288 - 101288
Published: June 3, 2024
Language: Английский
Citations
6Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 6164 - 6164
Published: July 15, 2024
Borehole breakouts significantly influence drilling operations’ efficiency and economics. Accurate evaluation of breakout size (angle depth) can enhance strategies hold potential for in situ stress magnitude inversion. In this study, borehole is approached as a complex nonlinear problem with multiple inputs outputs. Three hybrid multi-output models, integrating commonly used machine learning algorithms (artificial neural networks ANN, random forests RF, Boost) the Walrus optimization algorithm (WAOA) techniques, are developed. Input features determined through literature research (friction angle, cohesion, rock modulus, Poisson’s ratio, mud pressure, radius, stress), 501 related datasets collected to construct dataset. Model performance assessed using Pearson Correlation Coefficient (R2), Mean Absolute Error (MAE), Variance Accounted For (VAF), Root Squared (RMSE). Results indicate that WAOA-ANN exhibits excellent stable prediction performance, particularly on test set, outperforming single-output ANN model. Additionally, SHAP sensitivity analysis conducted model reveals maximum horizontal principal (σH) most influential parameter predicting both angle depth breakout. Combining results studies analyses conducted, considered be an effective size.
Language: Английский
Citations
4Mining Metallurgy & Exploration, Journal Year: 2024, Volume and Issue: 41(5), P. 2325 - 2340
Published: Aug. 8, 2024
Language: Английский
Citations
4Arabian Journal for Science and Engineering, Journal Year: 2025, Volume and Issue: unknown
Published: March 5, 2025
Abstract With the continuous acceleration of urbanization, problem ground settlement induced by underground tunnel construction has received more and widespread attention. This study addresses challenge predicting surface subsidence in urban construction, a critical concern geotechnical engineering. Random forest (RF) models were optimized using three distinct metaheuristic algorithms: ant lion optimizer (ALO), multiverse (MVO), grasshopper optimization algorithm (GOA). The enhancements significantly improved model accuracy, as demonstrated detailed performance metrics GOA-optimized RF (GOA-RF Pop = 20) on Changsha Metro Line 3 dataset, which included 294 instances 12 feature parameters. achieved an MAE 1.3820, MAPE 181.2249, correlation coefficient 0.9273, RMSE 2.5209 training set; 2.4695, 275.2054, R value 0.8877, 4.2540 testing set. A sensitivity analysis within random framework revealed that torque (To) condition (Gc) had most significant impact subsidence, whereas influence modified dynamic penetration test (MDPT) was least pronounced. Additionally, MATLAB-based application developed App Designer module, integrating these into user-friendly GUI facilitates prediction management risks, thereby enhancing practical effectiveness engineering risk mitigation strategies.
Language: Английский
Citations
0Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Journal Year: 2025, Volume and Issue: 11(1)
Published: May 22, 2025
Language: Английский
Citations
0Processes, Journal Year: 2024, Volume and Issue: 12(9), P. 1813 - 1813
Published: Aug. 26, 2024
In underground construction projects, traversing hard rock layers demands concentrated CO2 fracturing energy and precise directional crack expansion. Due to the discontinuity of mass at tip prefabricated fractures in fracturing, traditional simulations assuming continuous media are limited. It is challenging set boundary conditions for high strain rate large deformation processes. The dynamic expansion mechanism 3D fracture network not yet fully understood. By treating stress waves as hemispherical resonance using a particle loading method along with condition processing, numerical model constructed. This analyzes propagation spatial materials. results show that undirected relies on weak structures near borehole, whereas guided, extending fracture’s range. Additionally, vital re-expansion by high-pressure gas, leading formation symmetrical, umbrella-shaped structure evenly developed fractures. findings also demonstrate discrete element (DEM) effectively reproduces each stage providing basis studying cracking mechanism.
Language: Английский
Citations
2