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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Application of artificial neural networks to the evaluation of the ultimate strength of uniaxially compressed welded stiffened aluminium plates


    Contributors:


    Publication date :

    2012-08-01


    Size :

    17 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown





    Ultimate compressive strength of stiffened rectangular plates

    Ohtsubo, H. / Yamamoto, Y. | Tema Archive | 1979


    Ultimate strength of stiffened plates with pitting corrosion

    Ahmad Rahbar-Ranji / Nabi Niamir / Arvin Zarookian | DOAJ | 2015

    Free access

    Ultimate Strength of Aluminium Stiffened Panels - Sensitivity Analysis

    Rigo, P. / Sarghiuta, R. / Otelea, S. C. et al. | British Library Conference Proceedings | 2004


    Ultimate strength of stiffened plates with pitting corrosion

    Rahbar-Ranji, Ahmad / Niamir, Nabi / Zarookian, Arvin | Online Contents | 2015