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Interpreting acoustic emission signals by artificial neural networks to predict the residual strength of pre-fatigued GFRP laminates
Interpreting acoustic emission signals by artificial neural networks to predict the residual strength of pre-fatigued GFRP laminates
Interpreting acoustic emission signals by artificial neural networks to predict the residual strength of pre-fatigued GFRP laminates
Leone, C. (author) / Caprino, G. (author) / de Iorio, I. (author)
COMPOSITES SCIENCE AND TECHNOLOGY ; 66 ; 233-239
2006-01-01
7 pages
Article (Journal)
English
DDC:
620.118
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