Probabilistic Capacity Model for Concrete-Filled Steel Tubes

Alessandro Contento, Angelo Aloisio, Junqing Xue, Giuseppe Quaranta, Paolo Gardoni, Bruno Briseghella

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

Abstract

Concrete-filled steel tubular (CFST) columns are increasingly used around the world due to their significant structural and economic advantages. Although considerable research and several experimental tests have been carried out on CFST columns, there are no mechanics-based probabilistic models of their axial capacity. The present research proposes a mechanics-based probabilistic capacity model for the assessment of the ultimate axial capacity of CFST columns. The accuracy of the numerical predictions obtained with the proposed formulation is compared with that of existing capacity equations already in use within technical standards or available in the literature.

Original languageEnglish (US)
Title of host publicationIABSE Symposium Istanbul 2023
Subtitle of host publicationLong Span Bridges - Proceeding Book
PublisherInternational Association for Bridge and Structural Engineering (IABSE)
Pages269-276
Number of pages8
ISBN (Electronic)9783857481918
StatePublished - 2023
EventIABSE Symposium Istanbul 2023: Long Span Bridges - Istanbul, Turkey
Duration: Apr 26 2023Apr 28 2023

Publication series

NameIABSE Symposium Istanbul 2023: Long Span Bridges - Proceeding Book

Conference

ConferenceIABSE Symposium Istanbul 2023: Long Span Bridges
Country/TerritoryTurkey
CityIstanbul
Period4/26/234/28/23

Keywords

  • Axial capacity
  • concrete-filled steel tubes
  • probabilistic capacity model

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Building and Construction

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