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author:

Contento, Alessandro (Contento, Alessandro.) [1] | Aloisio, Angelo (Aloisio, Angelo.) [2] | Xue, Junqing (Xue, Junqing.) [3] (Scholars:薛俊青) | Quaranta, Giuseppe (Quaranta, Giuseppe.) [4] | Gardoni, Paolo (Gardoni, Paolo.) [5] | Briseghella, Bruno (Briseghella, Bruno.) [6] (Scholars:BRUNO BRISEGHLLA)

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EI

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. Copyright © IABSE Symposium Istanbul 2023: Long Span Bridges - Proceeding Book. All rights reserved.

Keyword:

Bridges Concretes Tubular steel structures

Community:

  • [ 1 ] [Contento, Alessandro]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Aloisio, Angelo]Department of Civil, Construction-Architecture and Environmental Engineering, University of L’Aquila, L’Aquila, Italy
  • [ 3 ] [Xue, Junqing]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Quaranta, Giuseppe]Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome, Italy
  • [ 5 ] [Gardoni, Paolo]Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana; IL, United States
  • [ 6 ] [Briseghella, Bruno]College of Civil Engineering, Fuzhou University, Fuzhou, China

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Year: 2023

Page: 269-276

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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