Reinforcement performance of prestressed unbonded carbon fiber reinforced polymer (CFRP) in continuous beam under artificial intelligence technology

Abstract

Due to the influence of various factors such as design, construction and use, concrete structures are prone to various damages and defects, so it is necessary to strengthen and repair, and the strengthening technology of carbon fiber external bonding plate is one of the important methods. Therefore, a study on the strengthening performance of prestressed unbonded carbon fiber reinforcement of continuous beams under artificial intelligence technology is proposed. Concrete beams were tested, including the flexural properties of damaged concrete beams strengthened with carbon fiber reinforced polymer, the flexural properties of damaged concrete beams strengthened with prestressed CFRP, and the shear properties of damaged concrete beams strengthened with CFRP. On the basis of experimental research, the calculation methods of flexural capacity, stiffness, crack width and shear capacity of reinforced beams are studied theoretically. The shear strengthening tests of fiber grating and ECC composites are carried out. Through the comparison with ordinary reinforced concrete and carbon fiber reinforced concrete specimens, the crack development, ultimate deflection, ultimate bearing capacity and failure mode of different specimens are studied. The experiments show that the research method provides a new idea for the application of new materials such as carbon fiber grating in structural strengthening engineering.

Keywords

Artificial intelligence beam prestress carbon fiber reinforcement reinforcement performance concrete beams

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