On the use of different constitutive models in data assimilation for slope stability

Muhammad Mohsan, Philip J. Vardon*, Femke C. Vossepoel

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
73 Downloads (Pure)


A recursive ensemble Kalman filter (EnKF) is used as the data assimilation scheme to estimate strength and stiffness parameters simultaneously for a fully coupled hydro-mechanical slope stability analysis. Two different constitutive models are used in the hydro-mechanical model: the Mohr-Coulomb (MC) model and the Hardening Soil (HS) model. The data assimilation framework allows the investigation of the effect of constitutive behaviour on its ability to estimate the factor of safety using measurements of horizontal nodal displacement at the sloping face. In a synthetic study, close-to-failure and far-from-failure cases of prior property estimations illustrate the effect of initial material property distribution with different material models. The results show that both models provide a reliable factor of safety when the distribution of prior parameters is selected close-to-failure. However, the HS model results in the improved estimation of factor of safety for the far-from-failure case while this is not the case for the MC model. In addition, for the same level of accuracy the computational effort required for the HS model is comparatively less than for the MC model.

Original languageEnglish
Article number104332
Number of pages19
JournalComputers and Geotechnics
Publication statusPublished - 2021


  • Constitutive models
  • Ensemble Kalman filter
  • Factor of safety
  • Hardening soil
  • Mohr-Coulomb
  • Slope stability model


Dive into the research topics of 'On the use of different constitutive models in data assimilation for slope stability'. Together they form a unique fingerprint.

Cite this