Comparative Study of Machine Learning Approaches for Predicting Creep Behavior of Polyurethane Elastomer

Comparative Study of Machine Learning Approaches for Predicting Creep Behavior of Polyurethane Elastomer

The long-term mechanical properties of viscoelastic polymers are among their most important aspects. In the present research, a machine learning approach was proposed for creep properties’ prediction of polyurethane elastomer considering the effect of creep time, creep temperature, creep stress and...

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Bibliographic Details
Main Authors: Chunhao Yang, Wuning Ma, Jianlin Zhong, Zhendong Zhang
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Polymers
Subjects:
creep behavior
polyurethane elastomer
time–strain curve
machine learning
genetic algorithm
Online Access:https://www.mdpi.com/2073-4360/13/11/1768

Internet

https://www.mdpi.com/2073-4360/13/11/1768

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