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    Implementation of Machine Learning in Predicting Pin-Bearing Strength of Aged and Nonaged Pultruded GFRP Composites 

    Source: Journal of Composites for Construction:;2024:;Volume ( 028 ):;issue: 003:;page 04024014-1
    Author(s): Ammar A. Alshannaq; Abdel Rahman Awawdeh
    Publisher: American Society of Civil Engineers
    Abstract: Glass fiber–reinforced polymer (GFRP) composites are widely used materials in construction. Their use in structural applications, especially in civil infrastructure, requires structural analysis and design of their connections ...
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