[en] A series of elastoplastic large-deflection finite element analyses is performed on stiffened aluminium plates with flat-bar
stiffeners under in-plane longitudinal compression loads. Then, the closed-form ultimate compressive strength formula is
derived for stiffened aluminium plates by regression analysis. Finally, artificial neural network methodology is applied to
predict the ultimate strength of uniaxially compressed stiffened aluminium plates. It is found that artificial neural network
models can produce a more accurate prediction of the ultimate strength of the stiffened aluminium plates than can the
existing empirical formula.
Disciplines :
Civil engineering
Author, co-author :
Zareei, Mohammad Reza
Khedmati, Mohammad Reza
Rigo, Philippe ; Université de Liège - ULiège > Département ArGEnCo > Constructions hydrauliques et navales
Language :
English
Title :
Application of artificial neural networks to the evaluation of the ultimate strength of uniaxially compressed welded stiffened aluminium plates
Publication date :
01 June 2012
Journal title :
Proceedings of the Institution of Mechanical Engineers. Part M, Journal of Engineering for the Maritime Environment
ISSN :
1475-0902
eISSN :
2041-3084
Publisher :
Professional Engineering Publishing, United Kingdom
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