Uncertainty quantification and propagation in the modeling of liquefiable sands
Author
dc.contributor.author
Mercado, Vicente
Author
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Ochoa-Cornejo, Felipe
Author
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Astroza, Rodrigo
Author
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El-Sekelly, Waleed
Author
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Abdoun, Tarek
Author
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Pastén, Cesar
Author
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Hernández, Francisco
Admission date
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2019-10-30T15:19:04Z
Available date
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2019-10-30T15:19:04Z
Publication date
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2019
Cita de ítem
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Soil Dynamics and Earthquake Engineering, Volumen 123,
Identifier
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02677261
Identifier
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10.1016/j.soildyn.2019.04.016
Identifier
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https://repositorio.uchile.cl/handle/2250/172182
Abstract
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This paper combines data from laboratory, centrifuge testing, and numerical tools to highlight the predictive capabilities of the Bayesian method for uncertainty quantification and propagation. The Bayesian approach is employed to estimate uncertain parameters of a multi-yield constitutive model using data from cyclic-triaxial testing. Then, predictive capabilities of a finite element model in reproducing the dynamic response of a saturated sand deposit are investigated by drawing samples from the estimated posterior probability distributions of the constitutive model parameters. Variability of the predicted responses due to estimation uncertainty is evaluated. The response of centrifuge tests is used to assess the simulated responses.