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    Damage Detection for a Cantilevered Steel I-Beam through Deep-Learning Methods: LSTM, Multivariate Time-Series Transformer, and LSTM-Based Autoencoder 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 002:;page 04025003-1
    Author(s): Ehsan Sadeghian; Elena Dragomirescu; Diana Inkpen
    Publisher: American Society of Civil Engineers
    Abstract: The structural integrity of steel trusses and I-beams is of vital importance for preventing the potential collapse of steel bridges when subjected to extraordinary forces. Thus, identifying damage to I-beams, which cannot ...
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