The biggest challenge of an advanced analysis is that it is time-consuming compared to an elastic analysis. This leads to the limitation of application of advanced analysis in complicated design problems such as optimization design and reliability analysis of structures where a very large number of structural analyses are required. To solve this problem, a deep learning (DL) based procedure for safety evaluation of steel frames is introduced in this study. An advanced analysis is used to capture the nonlinear inelastic behaviors of structures. Two DL models are proposed for estimation of the structural load-carrying capacity and evaluation of the strength safety of the structure by predicting the structural ultimate load factor greater or smaller than 1.0. A two-story space steel frame is studied.


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    Titel :

    A Deep Learning-Based Procedure for Safety Evaluation of Steel Frames Using Advanced Analysis


    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) / Ha, Manh-Hung (Autor:in) / Vu, Quang-Viet (Autor:in) / Truong, Viet-Hung (Autor:in)


    Erscheinungsdatum :

    11.10.2019


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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