Constitutive models for predicting field-dependent viscoelastic behavior of magnetorheological elastomer using machine learning

• Main Authors: Saharuddin, K. D., Mohammed Ariff, M. H., Bahiuddin, I., Mazlan, S. A., Abdul Aziz, S. A., Nazmi, N., Fatah, A. Y. A., Mohmad, K.
• Format: Article
• Published: Institute of Physics Publishing 2020
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/88349/; http://www.dx.doi.org/10.1088/1361-665X/ab972d

This work presents new constitutive models of a magnetorheological (MR) elastomer viscoelastic behavior using a machine learning method to predict the magnetic field dependent-stiffness and damping properties. The multiple output-models are formulated using two basic neural network models, which are...