Machine Learning Driven Shear Strength Prediction Model for FRP-Reinforced Concrete Beams

Mohammad Rezaul Karim; Kamrul Islam; A. H. M. Muntasir Billah; M. Shahria Alam

doi:10.1007/978-3-031-34159-5_70

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Machine Learning Driven Shear Strength Prediction Model for FRP-Reinforced Concrete Beams

Mohammad Rezaul Karim Kamrul Islam A. H. M. Muntasir Billah M. Shahria Alam

Year: 2023 Lecture notes in civil engineering Pages: 1033-1044 Publisher: Springer Nature

DOI: 10.1007/978-3-031-34159-5_70

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Keywords:

Fibre-reinforced plastic Reinforced concrete Structural engineering Shear (geology) Shear strength (soil) Beam (structure) Reinforcement Materials science Computer science Engineering Composite material Geology

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Concrete Corrosion and Durability

Physical Sciences → Engineering → Civil and Structural Engineering

Infrastructure Maintenance and Monitoring

Physical Sciences → Engineering → Civil and Structural Engineering

Structural Behavior of Reinforced Concrete

Physical Sciences → Engineering → Building and Construction

Machine Learning Driven Shear Strength Prediction Model for FRP-Reinforced Concrete Beams

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