Physics-guided data-driven learning with active learning for slope stability analysis considering spatial variability
Authors:
- Xitailang CaoXitailang Cao
- Jianxi RenJRJianxi Ren
- Miao DongMDMiao Dong
- Shan LinShan Lin
- Hongwei GuoHGHongwei Guo
- Hong ZhengHong Zheng
- 17 October 2026
- journal article
- Published by Elsevier in Engineering Analysis with Boundary Elements
- Vol. 194
Abstract
No abstract availableFunding Information
- Natural Science Foundation of Chongqing Municipality (CSTB2024NSCQ-MSX0740)
- Natural Science Foundation of Beijing Municipality
- National Natural Science Foundation of China (12072259)
- National Natural Science Foundation of China (42377187)
- National Natural Science Foundation of China (42477157)
- Natural Science Foundation of Beijing Municipality (8244045)
- Natural Science Basic Research Program of Shaanxi Province (2026JC-YBQN-0362)
This publication has 44 references indexed in Scilit:
- Tunnel Design in Rock Masses Under Uncertainty With Reliability Constraints and Natural Gradient Boosting‐Based SurrogatesInternational Journal for Numerical and Analytical Methods in Geomechanics, 2026
- Deep ensemble–based probabilistic modeling of torsional capacity in reinforced concrete beams with uncertainty decompositionApplied Mathematical Modelling, 2026
- Stochastic analysis of slope stability based on a novel complex variable meshfree numerical manifold method and self-organizing map neural networkActa Geotechnica, 2025
- Hybrid NSGA-III and surrogate model framework for sustainable concrete mix design: Balancing strength, energy, and carbonApplied Soft Computing, 2025
- Multi-scale fusion network: A new deep learning structure for elliptic interface problemsApplied Mathematical Modelling, 2022
- A novel surrogate-model based active learning method for structural reliability analysisComputer Methods in Applied Mechanics and Engineering, 2022
- A new active-learning function for adaptive Polynomial-Chaos Kriging probability density evolution methodApplied Mathematical Modelling, 2022
- A four-way enhanced numerical manifold method for crack propagation and failure analysis of rock slopesApplied Mathematical Modelling, 2021
- Active learning relevant vector machine for reliability analysisApplied Mathematical Modelling, 2021
- The MLS-based numerical manifold method with applications to crack analysisInternational Journal of Fracture, 2014