This paper aims at introducing a new method to determine the buckling coefficient kb of the stiffened plate girders under pure bending using deep learning, one of the most powerful algorithms in machine learning. Firstly, output data kb is generated from eigenvalue buckling analyses based on input data (various geometric dimensions of the girder). This procedure is implemented by using the Abaqus2Matlab toolbox, which allows the transfer of data between Matlab and Abaqus and vice versa. After that, 2,200 training data are used to build the model for predicting kb using deep learning. Finally, 200 test data are used to evaluate the accuracy of the model. The results obtained from this model are also compared with analogous results of previous works with a good agreement.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Prediction of buckling coefficient of stiffened plate girders using deep learning algorithm


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Ha-Minh, Cuong (Herausgeber:in) / Dao, Dong Van (Herausgeber:in) / Benboudjema, Farid (Herausgeber:in) / Derrible, Sybil (Herausgeber:in) / Huynh, Dat Vu Khoa (Herausgeber:in) / Tang, Anh Minh (Herausgeber:in) / Papazafeiropoulos, George (Autor:in) / Vu, Quang-Viet (Autor:in) / Truong, Viet-Hung (Autor:in) / Luong, Minh-Chinh (Autor:in)


    Erscheinungsdatum :

    2019-10-11


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimum design of stiffened composite girders

    Hassan, N. K. / Hekal, S. A. / Abdel Aziz, K. S. et al. | British Library Conference Proceedings | 1998


    Buckling of Stiffened Panels

    Shama, Mohamed | Springer Verlag | 2013


    Buckling of curved tension-field girders

    Limpert, G. | Engineering Index Backfile | 1938


    Ritz Approach for Buckling Prediction of Cracked-Stiffened Structures

    Dang, Thi D. / Kapania, Rakesh K. | AIAA | 2013