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Probabilistic Capacity Model for Concrete-Filled Steel Tubes

 Probabilistic Capacity Model for Concrete-Filled Steel Tubes
Autor(en): , , , ,
Beitrag für IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023, veröffentlicht in , S. 269-276
DOI: 10.2749/istanbul.2023.0269
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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 experimen...
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Bibliografische Angaben

Autor(en): (College of Civil Engineering, Fuzhou University Fuzhou, China)
(Department of Civil, Construction-Architecture and Environmental Engineering, University of L’Aquila L’Aquila, Italy)
(College of Civil Engineering, Fuzhou University Fuzhou, China)
(Department of Structural and Geotechnical Engineering, Sapienza University of Rome Rome, Italy)
(Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign Urbana, Illinois, USA)
(College of Civil Engineering, Fuzhou University Fuzhou, China)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Symposium: Long Span Bridges, Istanbul, Turkey, 26-28 April 2023
Veröffentlicht in:
Seite(n): 269-276 Anzahl der Seiten (im PDF): 8
Seite(n): 269-276
Anzahl der Seiten (im PDF): 8
Jahr: 2023
DOI: 10.2749/istanbul.2023.0269
Abstrakt:

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 mechanicsbased 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.

Stichwörter:
axiale Tragfähigkeit