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
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-...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://hdl.handle.net/10889/11595 |
