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1 Ergebnisse
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Prediction of Mechanical Behavior of Epoxy Polymer Using Ar..:
Saada, Khalissa
;
Amroune, Salah
;
Zaoui, Moussa
https://www.fracturae.com/index.php/fis/article/view/4339/3873. , 2023
Link:
https://www.fracturae.com/index.php/fis/article/view/4..
RT Journal T1
Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM)
UL https://suche.suub.uni-bremen.de/peid=base-ftfractureojs:oai:ojs.www.fracturae.com:article_4339&Exemplar=1&LAN=DE A1 Saada, Khalissa A1 Amroune, Salah A1 Zaoui, Moussa PB Gruppo Italiano Frattura (IGF) YR 2023 K1 ANN K1 RSM K1 ANOVA K1 Epoxy K1 Geometry K1 Mechanical properties K1 analyze the effect of different geometries and sections on the mechanical properties of epoxy specimens K1 the response surface model (RSM) and the artificial neural network (ANN) to predict the output parameters of mechanical properties (Young's modulus and stress) JF https://www.fracturae.com/index.php/fis/article/view/4339/3873 LK http://dx.doi.org/https://www.fracturae.com/index.php/fis/article/view/4339 DO https://www.fracturae.com/index.php/fis/article/view/4339 SF ELIB - SuUB Bremen
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