Options for the Implementations of Data Assimilation for Geotechnics

M. Mohsan*, P.J. Vardon, F.C. Vossepoel

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Data assimilation methods have been implemented on a slope stability problem, and the performance of different constitutive models and data assimilation schemes has been investigated. In the first part, a data assimilation scheme called the ensemble Kalman filter (EnKF) is implemented using a finite element model (FEM) and its performance with different constitutive models (the Mohr-Coulomb (MC) and Hardening Soil (HS) material models) is investigated to study their effect on the parameter and the factor of safety (FoS) estimation. Measurements of horizontal displacement are assimilated. The results from a synthetic example show that the HS model can generally be used to get reliable results for parameter and FoS estimation. However, using the MC model does not always output reliable parameter and FoS estimation. In the second part, the performance of different data assimilation schemes, i.e., the EnKF and ensemble smoother with multiple data assimilation (ESMDA), is studied with the preferred constitutive material model (the HS model). The results of a synthetic case show that the EnKF results in a narrower distribution for the FoS than the ESMDA method, while the latter results in FoS estimation which is closer to the ‘truth’.
Original languageEnglish
Title of host publicationChallenges and Innovations in Geomechanics
Subtitle of host publicationProceedings of the 16th International Conference of IACMAG
EditorsMarco Barla, Alessandra Insana, Alice Di Donna, Donatella Sterpi
PublisherSpringer Science
Pages255-262
Number of pages8
Volume3
ISBN (Print)9783031128509
DOIs
Publication statusPublished - 2023
Event6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022 - Turin, Italy
Duration: 30 Aug 20222 Sep 2022

Publication series

NameLecture Notes in Civil Engineering
PublisherSpringer
Volume288
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022
Country/TerritoryItaly
CityTurin
Period30/08/222/09/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Slope stability
  • Data assimilation
  • Constitutive models
  • Ensemble Kalman filter
  • Ensemble smoother

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