In this paper results obtained from monotonic nonlinear static analyses performed on Reinforced Concrete (RC) columns are shown. Bond-slip phenomenon between steel longitudinal bars and surrounding concrete is also taken into account in order to predict the numerical response under lateral actions of the RC columns investigated. The study is addressed, through parametric models and Monte Carlo simulations, to propose preliminary fragility curves for different damage states of the RC columns, including materials inherent uncertainties. Finally, the paper concludes comparing the proposed fragility curves with other similar ones published in the literature.

Influence of bond-slip on numerical fragility curves of RC structural columns / Audisio, Lorenzo; D’Amato, Michele; Gigliotti, Rosario. - In: PROCEDIA STRUCTURAL INTEGRITY. - ISSN 2452-3216. - 44:(2023), pp. 235-242. [10.1016/j.prostr.2023.01.031]

Influence of bond-slip on numerical fragility curves of RC structural columns

Lorenzo Audisio
;
Rosario Gigliotti
2023

Abstract

In this paper results obtained from monotonic nonlinear static analyses performed on Reinforced Concrete (RC) columns are shown. Bond-slip phenomenon between steel longitudinal bars and surrounding concrete is also taken into account in order to predict the numerical response under lateral actions of the RC columns investigated. The study is addressed, through parametric models and Monte Carlo simulations, to propose preliminary fragility curves for different damage states of the RC columns, including materials inherent uncertainties. Finally, the paper concludes comparing the proposed fragility curves with other similar ones published in the literature.
2023
bond-slip; damage states; fragility curves; material uncertainties; Monte Carlo simulations; RC columns
01 Pubblicazione su rivista::01a Articolo in rivista
Influence of bond-slip on numerical fragility curves of RC structural columns / Audisio, Lorenzo; D’Amato, Michele; Gigliotti, Rosario. - In: PROCEDIA STRUCTURAL INTEGRITY. - ISSN 2452-3216. - 44:(2023), pp. 235-242. [10.1016/j.prostr.2023.01.031]
File allegati a questo prodotto
File Dimensione Formato  
Audisio_Influence_2023.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 1.6 MB
Formato Adobe PDF
1.6 MB Adobe PDF

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1666227
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact