Open Access
Issue
E3S Web Conf.
Volume 728, 2026
2026 3rd International Conference on Environment Engineering, Urban Planning and Design (EEUPD 2026)
Article Number 01005
Number of page(s) 6
Section Environmental Engineering and Earth Sciences
DOI https://doi.org/10.1051/e3sconf/202672801005
Published online 27 July 2026
  1. F. Guzzetti, S. L. Gariano, S. Peruccacci, M. T. Brunetti, and M. Melillo, “Rainfall and landslide initiation,” in Elsevier eBooks, 2022, pp. 427–450. doi: 10.1016/b978-0-12-822544-8.00012-3. [Google Scholar]
  2. K. Wang and S. Zhang, “Rainfall-induced landslides assessment in the Fengjie County, Three-Gorge reservoir area, China,” Natural Hazards, vol. 108, no. 1, pp. 451–478, Mar. 2021, doi: 10.1007/s11069-021-04691-z. [Google Scholar]
  3. B. Qin, J. Zou, X. Wang, L. Yang, and P. Lv, “Landslide susceptibility evaluation using multiple machine learning models: a case study of Wanzhou District in the Three Gorges Reservoir area,” Geological Journal, Oct. 2025, doi: 10.1002/gj.70104. [Google Scholar]
  4. L. Yang, Y. Wang, T. Glade, and J. Liu, “From theory to practice: force-energy equilibrium analysis for assessing failure extension lengths in excavation-induced translational landslides,” Bulletin of Engineering Geology and the Environment, vol. 84, no. 2, Jan. 2025, doi: 10.1007/s10064-025-04092-7. [Google Scholar]
  5. A. Aalianvari and S. Jahanmiri, “Fluid flow modeling in fractured rocks using human mental search optimization,” Geotechnical and Geological Engineering, vol. 43, no. 6, Jul. 2025, doi: 10.1007/s10706-025-03223-x. [Google Scholar]
  6. F. Guo, E. Zhen, A. Wang, and L. Wang, “Research on discrete element method for geometric nonlinear problems in continuum medium plate and shell structures,” Mechanics of Solids, vol. 60, no. 5, pp. 4123–4148, Oct. 2025, doi: 10.1134/s0025654425602848. [Google Scholar]
  7. H. Ma et al., “A review of the Discrete Element Method (DEM) simulation of mineral Comminution Processes: Part I. Theoretical Developments,” MetaResource, vol. 2, no. 4, pp. 257–283, Dec. 2025, doi: 10.23919/metar.2025.000016. [Google Scholar]
  8. A. Kumar and L. B. Roy, “Analysis of slope failure in Ostapal open pit chromite mine using numerical modelling in FLAC—A case study,” Indian Geotechnical Journal, Feb. 2025, doi: 10.1007/s40098-025-01200-y. [Google Scholar]
  9. S. Li, B. Dai, Y. Hou, and D. Li, “Spatiotemporal stability responses of tunnel excavation under cyclical footage impact: a FLAC3D-Based Numerical study,” Applied Sciences, vol. 15, no. 14, p. 7661, Jul. 2025, doi: 10.3390/app15147661. [Google Scholar]
  10. Z. Chen, Z. Chen, T. Guo, W. Chen, Q. Zhang, and Z. Wu, “Depth-guided DIC for 3D shape, deformation, and strain measurement on discontinuous surfaces,” Optics Express, vol. 33, no. 5, p. 11638, Feb. 2025, doi: 10.1364/oe.557594. [Google Scholar]
  11. M. Aleyaasin, “Comparing the accuracy and sensitivity of Mesh-Free and finite element methods in vibration analysis,” Dynamics, vol. 5, no. 2, p. 13, Apr. 2025, doi: 10.3390/dynamics5020013. [Google Scholar]
  12. C. Zhou, Q. Zhong, X. Zhou, X. Wu, and S. Chen, “Research advances in large deformation analysis and applications of the material point method,” Applied Sciences, vol. 15, no. 12, p. 6617, Jun. 2025, doi: 10.3390/app15126617. [Google Scholar]
  13. H. Ma, J. Li, Z. Sun, and X. Zhang, “An efficient arbitrary grid material point method for problems with nonconforming boundary conditions,” International Journal for Numerical Methods in Engineering, vol. 126, no. 11, Jun. 2025, doi: 10.1002/nme.70054. [Google Scholar]
  14. Y. Cao et al., “Unstructured moving least squares material point methods: a stable kernel approach with continuous gradient reconstruction on general unstructured tessellations,” Computational Mechanics, vol. 75, no. 2, pp. 655–678, Jul. 2024, doi: 10.1007/s00466-024-02524-x. [Google Scholar]
  15. W. Zhao, X. Xia, X. Su, Q. Liang, X. Liu, and N. Ju, “Movement process analysis of the high-speed long-runout Shuicheng landslide over 3-D complex terrain using a depth-averaged numerical model,” Landslides, vol. 18, no. 9, pp. 3213–3226, Jun. 2021, doi: 10.1007/s10346-021-01695-5. [Google Scholar]
  16. K. Bhuyan et al., “Generating multi-temporal landslide inventories through a general deep transfer learning strategy using HR EO data,” Scientific Reports, vol. 13, no. 1, p. 162, Jan. 2023, doi: 10.1038/s41598-022-27352-y. [Google Scholar]
  17. E. Wang, R. M. Cruse, Y. Zhao, and X. Chen, “Quantifying soil physical condition based on soil solid, liquid and gaseous phases,” Soil and Tillage Research, vol. 146, pp. 49, Mar. 2015, doi: 10.1016/j.still.2014.09.018. [Google Scholar]
  18. D. M. Pedroso, Y. Zhang, and W. Ehlers, “Solution of Liquid-Gas-Solid coupled equations for porous media considering dynamics and hysteretic retention behavior,” Journal of Engineering Mechanics, vol. 143, no. 6, Feb. 2017, doi: 10.1061/(asce)em.1943-7889.0001208. [Google Scholar]

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