Finite Element Analysis for Deep Mixing Column Considering Statistical Uncertainty

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

Abstract

A probabilistic analysis framework in which the spatial variability and the statistical uncertainty are considered simultaneously is presented to evaluate an overall strength of a cement-treated soil column. In this framework, the statistical uncertainty is evaluated from sample data using a Bayesian inference. The inference about the statistical parameters is performed by a Markov chain Monte Carlo method. The drawn values of the parameters are adopted when making random fields of strength as realizations. Then, the finite element analysis is conducted for the generated realizations. The framework components are briefly described, and an example analysis is performed to illustrate the influence of the statistical uncertainty and the spatial variability on the evaluation of the overall strength.

Original languageEnglish
Title of host publicationChallenges and Innovations in Geomechanics - Proceedings of the 16th International Conference of IACMAG - Volume 1
EditorsMarco Barla, Alice Di Donna, Donatella Sterpi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages968-975
Number of pages8
ISBN (Print)9783030645137
DOIs
Publication statusPublished - 2021
Event16th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2021 - Turin, Italy
Duration: 2021 May 52021 May 8

Publication series

NameLecture Notes in Civil Engineering
Volume125
ISSN (Print)2366-2557
ISSN (Electronic)2366-2565

Conference

Conference16th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2021
Country/TerritoryItaly
CityTurin
Period21/5/521/5/8

Keywords

  • Cement-treated soil
  • Finite element analysis
  • Monte Carlo simulation
  • Random field
  • Statistical uncertainty

ASJC Scopus subject areas

  • Civil and Structural Engineering

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