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An Aeroelastic Metamodel Based on Experimental Data for Flutter Prediction of Swept Rectangular Wings

An aeroelastic metamodel was designed and implemented for prediction of flutter speed and frequency of swept rectangular wings based on experimental data and artificial neural networks (ANN). The ANN is a supervised multilayer perceptron that was trained based on an experimental data set involves fl...

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Bibliografische gegevens
Hoofdauteurs: M Mohammadi-Amin, Behzad Ghadiri Dehkordi
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Isfahan University of Technology 2013-01-01
Reeks:Journal of Applied Fluid Mechanics
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Online toegang:http://jafmonline.net/JournalArchive/download?file_ID=26978&issue_ID=211
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