Statistical uncertainty on assessment of spatial liquefaction resistance

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a probabilistic assessment framework of spatial liquefaction resistance with considering the statistical uncertainty. The method based on N value obtained from SPT is adopted to evaluate the liquefaction resistance. A Bayesian approach is used to evaluate the statistical uncertainty occurring in determining the statistical parameters of the modified N (Na) value from observation data. The posterior probability distribution of the statistical parameters of Na is evaluated using the Bayesian approach to inference. A Markov chain Monte Carlo (MCMC) method is adopted to draw the values of the parameters from the target posterior distributions in this study. To illustrate the performance of the proposed approach, an example analysis is conducted based on the statistical parameters of Na inferred with the site investigation data. The influence of the statistical uncertainty on assessing the spatial liquefaction resistance is discussed.

Original languageEnglish
Title of host publicationEarthquake Geotechnical Engineering for Protection and Development of Environment and Constructions- Proceedings of the 7th International Conference on Earthquake Geotechnical Engineering, 2019
EditorsFrancesco Silvestri, Nicola Moraci
PublisherCRC Press/Balkema
Pages4095-4102
Number of pages8
ISBN (Print)9780367143282
Publication statusPublished - 2019
Event7th International Conference on Earthquake Geotechnical Engineering, ICEGE 2019 - Rome, Italy
Duration: 2019 Jan 172019 Jan 20

Publication series

NameEarthquake Geotechnical Engineering for Protection and Development of Environment and Constructions- Proceedings of the 7th International Conference on Earthquake Geotechnical Engineering, 2019

Conference

Conference7th International Conference on Earthquake Geotechnical Engineering, ICEGE 2019
CountryItaly
CityRome
Period19/1/1719/1/20

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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