Yanjiang Zuo

Nov 24, 2024 | 4spepublications.onlinelibrary.wiley.com | Junpu Wang |Yanjiang Zuo |Xiaozhuang Yue |Yuxuan Wang |Liupeng Di |Minghui Li

Filled rubber has wide applications in industries due to its high temperature and corrosion resistance. Therefore, it is crucial to accurately depict the high-temperature mechanical behavior of the filled rubber. With the expansion of machine learning, the deep learning (DL) algorithm provides a new method to investigate the stress–strain relation of filled rubber.