Failure mode classification and deformability evaluation for concrete beams reinforced with FRP bars. (15th July 2022)

• Record Type: Journal Article
• Authors: Saleh, Eman; Tarawneh, Ahmad N.; Naser, M.Z.
• Is Part Of: Composite structures. Volume 292(2022)
• Publication Date: 2022-07-15
• Subjects: Fiber-reinforced polymers -- Machine learning -- Classification -- Failure type -- Deformability; Composite construction -- Periodicals; Composites -- Périodiques; 624.18
• DOI: 10.1016/j.compstruct.2022.115651
• Languages: English
• ISSNs: 0263-8223

Abstract

Abstract: The failure mode of fiber-reinforced polymers reinforced concrete (FRP-RC) beams is a concern in the capacity evaluation. Therefore, developing a robust method to identify the failure mode of FRP-RC beams is warranted. This paper proposes a support vector machine (SVM) algorithm, together with comprehensive compiled experimental databases and a validated analytical model, to identify the failure mode of FRP-RC beams. The SVM analysis yields "data-driven classification rules" that not only achieved superior performance over ACI 440 guidelines but are also valid for a large range of design parameters. The proposed classification rules are a function of the balanced reinforcement ratio ( ρfb ) and height to depth ratio ( h/b ) of FRP-RC beams. In addition, the verified classification rules recommend increasing the transition zone defined by ACI 440 from 1.4 ρfb to 1.55 ρfb . The study also utilized the verified analytical model to conduct a comprehensive deformability evaluation of FRP-RC members. The results indicate that FRP-RC beams have sufficient deformability before failure regardless of the failure mode. Moreover, to ensure minimum deformability requirements for FRP-RC beams, a limit should be specified on the modulus of elasticity -to-the ultimate tensile strength of the FRP ratio. Based on the analysis, a proposed limit of 200 is recommended.