Uncertainty quantification and propagation in the modeling of liquefiable sands

Vicente Mercado, Felipe Ochoa-Cornejo, Rodrigo Astroza, Waleed El-Sekelly, Tarek Abdoun, Cesar Pastén, Francisco Hernández

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)217-229
Number of pages13
JournalSoil Dynamics and Earthquake Engineering
Volume123
DOIs
StatePublished - Aug 2019

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geotechnical Engineering and Engineering Geology
  • Soil Science

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