A Bayesian framework to predict deformations during supported excavations based on a semi-empirical method

J. K. Park, P. Gardoni, G. Biscontin

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

Abstract

The ground movements induced by the construction of supported excavation systems are generally predicted by empirical/semi-empirical methods in the design stage. However, these methods cannot account for the site-specific conditions and for information that becomes available as an excavation proceeds. A Bayesian updating methodology is proposed to update the predictions of ground movements in the later stages of excavation based on recorded deformation measurements. As an application, the proposed framework is used to predict the three-dimensional deformation shapes at four incremental excavation stages of an actual supported excavation project.

Original languageEnglish (US)
Title of host publicationApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering
PublisherTaylor and Francis Inc.
Pages1240-1247
Number of pages8
ISBN (Print)9780415669863
DOIs
StatePublished - Jan 1 2011
Externally publishedYes
Event11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP - Zurich, Switzerland
Duration: Aug 1 2011Aug 4 2011

Publication series

NameApplications of Statistics and Probability in Civil Engineering -Proceedings of the 11th International Conference on Applications of Statistics and Probability in Civil Engineering

Other

Other11th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP
CountrySwitzerland
CityZurich
Period8/1/118/4/11

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Statistics and Probability

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