A numerical methodology for predicting the mechanical properties of unidirectional composite laminates with pores : evaluation of porous CFRP specimens using X-ray CT data and an artificial neural network

• Main Author: Σταμόπουλος, Αντώνιος
• Other Authors: Τσερπές, Κωνσταντίνος
• Format: Thesis
• Language: English
• Published: 2018
• Subjects: X-ray computed tomography; CFRP; Porosity; Numerical simulation; Artificial neural network; Υπολογιστική τομογραφία; Σύνθετα υλικά; Κατασκευαστικές ατέλειες; Αριθμητική μοντελοποίηση; Τεχνητό νευρωνικό δίκτυο; 620.118 92

In the present thesis, a numerical methodology was developed to predict the mechanical properties of unidirectional carbon fiber reinforce polymers (CFRPs) using data from NDT tests. To achieve the goal of the thesis, X-Ray CT scan data analysis was conducted, optical microscopy was utilized, multi-...