Open AccessPrediction of moisture saturation levels for vinylester composite laminates: A data-driven approach for predicting the behavior of composite materials
Author(s) -
Youssef K. Hamidi,
Abdelaziz Berrado,
M. Cengiz Altan
Publication year - 2019
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.5088285
Subject(s) - composite number , random forest , moisture , saturation (graph theory) , computer science , composite laminates , durability , materials science , machine learning , composite material , algorithm , mathematics , combinatorics
This paper introduces a comprehensive, data-driven method to predict the properties of composite materials, such as thermo-mechanical properties, moisture saturation level, durability, or other suc...
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