EGU26-15532, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-15532
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 14:00–15:45 (CEST), Display time Wednesday, 06 May, 14:00–18:00
 
Hall X3, X3.97
Numerical Modeling of Slow-Moving Landslides with an Unsaturated Visco-Hypoplastic Constitutive Model
Bowen Wang1, Shun Wang2,3, and Wei Wu4
Bowen Wang et al.
  • 1Institut für Geotechnik, Universität für Bodenkultur, Vienna 1180, Austria (bowen.wang@boku.ac.at)
  • 2State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan 430072, China (shun.wang@whu.edu.cn)
  • 3Institute of Engineering Risk and Disaster Prevention, School of Water Resources and Hydropower Engineering, Wuhan University, Wuhan 430072, China
  • 4Institut für Geotechnik, Universität für Bodenkultur, Vienna 1180, Austria (wei.wu@boku.ac.at)

Slow-moving landslides exhibit persistent slow displacement that is commonly controlled by groundwater fluctuations and saturated–unsaturated conditions. This study employs an advanced unsaturated visco-hypoplastic constitutive model within a finite-element framework to simulate the time-dependent deformation of slow-moving landslides. Time-dependent behavior is introduced through a viscous strain-rate term, while suction effects and stress history are captured within the hypoplastic formulation. A time-deformation analysis is performed, considering seepage and the evolution of suction. To reduce computational demand, the visco-hypoplastic model is applied to the shear zone where deformation concentrates, whereas the remaining slope is treated as elastic. Most parameters are derived from standard laboratory tests, and the remaining time-related parameters are calibrated using monitored displacement time series. The idealized slope analysis results quantify the impact of groundwater level fluctuations on displacement rates and deformation patterns, while field slope validation demonstrates that the model can reproduce observed landslide behavior. The proposed framework contributes to the prediction of landslide evolution and informs landslide mitigation and management.

How to cite: Wang, B., Wang, S., and Wu, W.: Numerical Modeling of Slow-Moving Landslides with an Unsaturated Visco-Hypoplastic Constitutive Model, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-15532, https://doi.org/10.5194/egusphere-egu26-15532, 2026.