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Sasikumar, Aravind (author), Ninyerola, Joan (author), Ruiz, Ivan (author), Bessa, M.A. (author), Turon Travesa, Albert (author)
Aeronautical industries are concerned about the cost effective generation of design allowables for composite laminates. Design allowables take into account the variabilities arising from different sources (material, manufacturing, defects etc.,) which are determined using expensive and time consuming experimental campaigns....
conference paper 2022
document
Furtado, C. (author), Tavares, R. P. (author), Gomes Pereira, L.P. (author), Salgado, M. (author), Otero, F. (author), Catalanotti, G. (author), Arteiro, A. (author), Bessa, M.A. (author), Camanho, P. P. (author)
This work represents the first step towards the application of machine learning techniques in the prediction of statistical design allowables of composite laminates. Building on data generated analytically, four machine algorithms (XGBoost, Random Forests, Gaussian Processes and Artificial Neural Networks) are used to predict the notched...
journal article 2021