Optimized damage identification in CFRP plates by reduced mode shapes and GA-ANN methods

•Structural damage prediction using ANN and reduced mode shapes.•The best location of the sensor in shell structures to ensure the best quality of modal information.•Improvement in modal tests, since it is only significant to acquire signals in a limited location. Delamination is one of the most com...

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Veröffentlicht in:	Engineering structures 2019-02, Vol.181, p.111-123
Hauptverfasser:	Gomes, Guilherme Ferreira, de Almeida, Fabricio Alves, Junqueira, Diego Morais, da Cunha, Sebastiao Simões, Ancelotti, Antonio Carlos
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Carbon fiber reinforced plastics Catastrophic failure analysis Composite plates Composite structures Computer applications Damage detection Damage identification Damage localization Delamination Failure modes Finite element method Formulations Genetic algorithms Health risks Identification methods Interfaces Inverse problem Laminates Localization Mathematical analysis Neural networks Plates (structural members) Sensor placement optimization Shape optimization Software Structural damage Structural health monitoring Vibration
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