Uncertainty quantification and propagation in the modeling of liquefiable sands

Mercado, Vicente; Ochoa-Cornejo, Felipe; Astroza, Rodrigo; El-Sekelly, Waleed; Abdoun, Tarek; Pasten, Cesar; Hernandez, Francisco

Abstract

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.

Más información

Título según WOS: Uncertainty quantification and propagation in the modeling of liquefiable sands
Título según SCOPUS: Uncertainty quantification and propagation in the modeling of liquefiable sands
Título de la Revista: SOIL DYNAMICS AND EARTHQUAKE ENGINEERING
Volumen: 123
Editorial: ELSEVIER SCI LTD
Fecha de publicación: 2019
Página de inicio: 217
Página final: 229
Idioma: English
DOI:

10.1016/j.soildyn.2019.04.016

Notas: ISI, SCOPUS