Finite Element Analysis for Deep Mixing Column Considering Statistical Uncertainty

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルChallenges and Innovations in Geomechanics - Proceedings of the 16th International Conference of IACMAG - Volume 1
編集者Marco Barla, Alice Di Donna, Donatella Sterpi
出版社Springer Science and Business Media Deutschland GmbH
ページ968-975
ページ数8
ISBN(印刷版)9783030645137
DOI
出版ステータスPublished - 2021
イベント16th International Conference of the International Association for Computer Methods and Advances in Geomechanics, IACMAG 2021 - Turin, Italy
継続期間: 2021 5 52021 5 8

出版物シリーズ

名前Lecture Notes in Civil Engineering
125
ISSN(印刷版)2366-2557
ISSN(電子版)2366-2565

Conference

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

ASJC Scopus subject areas

  • Civil and Structural Engineering

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