TY - GEN
T1 - Options for the Implementations of Data Assimilation for Geotechnics
AU - Mohsan, M.
AU - Vardon, P.J.
AU - Vossepoel, F.C.
N1 - 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.
PY - 2023
Y1 - 2023
N2 - 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’.
AB - 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’.
KW - Slope stability
KW - Data assimilation
KW - Constitutive models
KW - Ensemble Kalman filter
KW - Ensemble smoother
UR - http://www.scopus.com/inward/record.url?scp=85136322391&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-12851-6_31
DO - 10.1007/978-3-031-12851-6_31
M3 - Conference contribution
SN - 9783031128509
VL - 3
T3 - Lecture Notes in Civil Engineering
SP - 255
EP - 262
BT - Challenges and Innovations in Geomechanics
A2 - Barla, Marco
A2 - Insana, Alessandra
A2 - Di Donna, Alice
A2 - Sterpi, Donatella
PB - Springer
T2 - 6th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2022
Y2 - 30 August 2022 through 2 September 2022
ER -