Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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TY - JOUR
T1 - Strain-dependent slope stability for earthquake loading
AU - Schmüdderich, Christoph
AU - Machaček, Jan
AU - Prada-Sarmiento, Luis Felipe
AU - Staubach, Patrick
AU - Wichtmann, Torsten
N1 - Publisher Copyright: © 2022 Elsevier Ltd
PY - 2022/12
Y1 - 2022/12
N2 - Assessment of the seismic slope stability in terms of a factor of safety (FoS) is often addressed using pseudo-static approaches neglecting material-induced failure and the role of pore-fluids. On the other hand, sophisticated constitutive models that capture these effects can usually not be considered in strength reduction analyses. In this study, the concept of strain-dependent slope stability presented by Nitzsche and Herle (2020) was enhanced to enable the analysis of slope stability problems under earthquake loading. This allowed to apply advanced constitutive models to both, the dynamic and the stability analysis. The applicability of the concept was shown by analysis of FoS and failure mechanisms for a water-saturated opencast mine slope subject to earthquake loading. To capture the non-linear material behavior, the hypoplastic model with intergranular strain was used. Machine learning algorithms adopted to the problem at hand provided accurate approximations of FoS and failure mechanism while reducing computational costs by 2–3 orders of magnitude.
AB - Assessment of the seismic slope stability in terms of a factor of safety (FoS) is often addressed using pseudo-static approaches neglecting material-induced failure and the role of pore-fluids. On the other hand, sophisticated constitutive models that capture these effects can usually not be considered in strength reduction analyses. In this study, the concept of strain-dependent slope stability presented by Nitzsche and Herle (2020) was enhanced to enable the analysis of slope stability problems under earthquake loading. This allowed to apply advanced constitutive models to both, the dynamic and the stability analysis. The applicability of the concept was shown by analysis of FoS and failure mechanisms for a water-saturated opencast mine slope subject to earthquake loading. To capture the non-linear material behavior, the hypoplastic model with intergranular strain was used. Machine learning algorithms adopted to the problem at hand provided accurate approximations of FoS and failure mechanism while reducing computational costs by 2–3 orders of magnitude.
KW - Earthquake loading
KW - Factor of safety
KW - Hypoplasticity
KW - Machine learning
KW - Material-induced failure
KW - Strain-dependent slope stability
UR - http://www.scopus.com/inward/record.url?scp=85139877590&partnerID=8YFLogxK
U2 - 10.1016/j.compgeo.2022.105048
DO - 10.1016/j.compgeo.2022.105048
M3 - Journal article
AN - SCOPUS:85139877590
VL - 152
JO - Computers and Geotechnics
JF - Computers and Geotechnics
SN - 0266-352X
M1 - 105048
ER -