EGU22-3351
https://doi.org/10.5194/egusphere-egu22-3351
EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Identifiability of rheological models in landslides modeling: a 3D SPH study

Shuai Li1, Hui Tang2, Chong Peng3, Xiao-qing Chen2, Hua-yong Chen2, and Jian-gang Chen2
Shuai Li et al.
  • 1Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China (lishuai@imde.ac.cn, xqchen@imde.ac.cn, hychen@imde.ac.cn, chenjg@imde.ac.cn)
  • 2GFZ German Research Centre for Geosciences, Section 4.7: Earth Surface Process Modelling, Potsdam, Germany (htang@gfz-potsdam.de)
  • 3ESS Engineering Software Steyr GmbH, Berggasse 35, 4400 Steyr, Austria (chong.peng@essteyr.com)

Landslides are one of the most destructive geohazards due to their high mobility and long runout. Numerical prediction of their motion and deposit behavior is an effective method for quantitative hazard assessment. The numerical approaches can get more insight into the landslide dynamics such as displacement, momentum, and impact forces. One of the crucial aspects in the application of continuum models is how to choose an appropriate rheology law for the materials. However, this issue remains poorly addressed in the geo-hazards simulations community. In this study, two constitutive models are applied to interpret landslide materials that integrated within Smoothed Particle Hydrodynamics (SPH) scheme. The elastoplastic Drucker-Prager (DP) model from soil mechanics and its counterpart in fluid mechanics, the non-Newtonian rheological Drucker-Prager (RDP) model. The results indicate that both the soil mechanic model and the fluid model can reproduce key dynamic processes (e.g., acceleration, deceleration, rebound stages) and deposition morphology (e.g., deposit area and height), within different values of input parameters given equivalent burst simulations. There is no order of which is better than another, only the more appropriate model that depends on landslide characteristics.

How to cite: Li, S., Tang, H., Peng, C., Chen, X., Chen, H., and Chen, J.: Identifiability of rheological models in landslides modeling: a 3D SPH study, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-3351, https://doi.org/10.5194/egusphere-egu22-3351, 2022.

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