Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
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. (Autor:in) / Caprino, G. (Autor:in) / de Iorio, I. (Autor:in)
COMPOSITES SCIENCE AND TECHNOLOGY ; 66 ; 233-239
01.01.2006
7 pages
Aufsatz (Zeitschrift)
Englisch
DDC:
620.118
© Metadata Copyright the British Library Board and other contributors. All rights reserved.
British Library Online Contents | 2005
|Quantitative Acoustic Emission for Fracture Behavior of Center-Hole GFRP Laminates
British Library Online Contents | 1994
|Residual strength evaluation of impacted GRP laminates with acoustic emission monitoring
British Library Online Contents | 1995
|Flexural Strength of RC Beams with GFRP Laminates
Online Contents | 2007
|Acoustic Emission Characterization of Failure Modes in GFRP Laminates Under Mode I Delamination
British Library Online Contents | 2011
|