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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    Title :

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


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:


    Publication date :

    2019-10-11


    Size :

    6 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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