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Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks

Bahadır Birecikli, Ömer Ali Karaman, Selahattin Barış Çelebi, Aydın Turgut

2020Journal of Mechanical Science and Technology28 citationsDOI

Topics & Concepts

Composite numberArtificial neural networkStructural engineeringMaterials scienceUltimate tensile strengthJoint (building)Composite materialEngineeringComputer scienceArtificial intelligenceUltrasonics and Acoustic Wave PropagationIndustrial Vision Systems and Defect DetectionStructural Health Monitoring Techniques
Failure load prediction of adhesively bonded GFRP composite joints using artificial neural networks | Litcius