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Applied Sciences, Vol. 16, Pages 8812: Optimised Machine Learning for MASW-Based Zonation of Weak Alluvial Soils Using Anchor-Based SPT/SCPT Calibration
1+ week, 1+ day ago (433+ words) Weak alluvial soils are difficult to delineate where penetration-test data are sparse and stiffness varies rapidly with depth. This study presents a novel goal-attainment-optimised machine learning framework that combines multichannel analysis of surface waves (MASW) with anchor-based standard penetration test…...
Applied Sciences, Vol. 16, Pages 8360: Optimizing Machine Learning Models for Predicting Rock Cohesion and Angle of Internal Friction: A Comparative Study of Lithological Analysis, Robustness Assessment, and SHAP Explanations
3+ week, 19+ hour ago (501+ words) Rock cohesion (c) and angle of internal friction (φ) are core parameters for rock mass stability analysis and engineering design; however, traditional triaxial tests are costly and time-consuming, limiting their availability in preliminary engineering assessments. To address this limitation, this study…...
Applied Sciences, Vol. 16, Pages 8304: A Dynamically Adaptive Cell-Centred Lattice Boltzmann Framework for Shallow-Water Flows with Wetting and Drying
3+ week, 2+ day ago (323+ words) Solving the shallow-water equations (SWEs) using the lattice Boltzmann method (LBM) can be computationally expensive on uniform grids. Here we develop a quadtree-based adaptive mesh refinement framework that preserves the Cartesian grid structure while enabling local refinement. A cell-centred data…...
Applied Sciences, Vol. 16, Pages 7811: OTG: A Physics-Informed Hybrid Interpolation Framework for High-Precision 3D S-Wave Velocity Modeling
1+ mon, 1+ week ago (463+ words) Three-dimensional (3D) S-wave velocity field modeling is a critical task in seismic exploration, but balancing modeling accuracy and geological rationality remains challenging due to sparse observation data and inherent limitations of existing methods. To address this issue, we propose an Ordinary…...