A reduced model for nonlinear analysis and design of thin-walled structures prone to multi-modal buckling

8 Pages Posted: 16 Jun 2021 Last revised: 20 Jul 2021

See all articles by Domenico Magisano

Domenico Magisano

University of Calabria

Francesco Liguori

University of Calabria

Leonardo Leonetti

University of Calabria

Antonio Madeo

University of Calabria

Giovanni Garcea

University of Calabria

Date Written: June 16, 2021

Abstract

The Koiter method is a reduction technique based on a multi-modal quadratic asymptotic expansion of the finite element model for recovering the equilibrium path of an elastic structure prone to buckling. Its main feature is the possibility of performing an inexpensive sensitivity analysis to geometrical imperfections by including the effects of the deviations in the reduced model of the perfect structure. The method is so efficient that can be used for optimal design of slender structures, where it provides the collapse load associated to each set of design parameters taking into account the nonlinear behaviour and the worst-shape imperfection at a computational cost similar to a linearised buckling analysis.

Suggested Citation

Magisano, Domenico and Liguori, Francesco and Leonetti, Leonardo and Madeo, Antonio and Garcea, Giovanni, A reduced model for nonlinear analysis and design of thin-walled structures prone to multi-modal buckling (June 16, 2021). Proceedings of the 8th International Conference on Coupled Instabilities in Metal Structures (CIMS 2021), Available at SSRN: https://ssrn.com/abstract=3868254 or http://dx.doi.org/10.2139/ssrn.3868254

Domenico Magisano (Contact Author)

University of Calabria ( email )

Via Pietro Bucci
Rende CS, Cosenza
Italy

Francesco Liguori

University of Calabria

Via Pietro Bucci
Rende CS, Cosenza
Italy

Leonardo Leonetti

University of Calabria

Via Pietro Bucci
Rende CS, Cosenza
Italy

Antonio Madeo

University of Calabria

Via Pietro Bucci
Rende CS, Cosenza
Italy

Giovanni Garcea

University of Calabria

Via Pietro Bucci
Rende CS, Cosenza
Italy

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
52
Abstract Views
325
Rank
834,691
PlumX Metrics