Machine learning method to predict dynamic compressive response of concrete-like material at high strain rates

• Published in: Defence technology Vol. 23; pp. 100 - 111
• Main Authors: Long, Xu, Mao, Ming-hui, Su, Tian-xiong, Su, Yu-tai, Tian, Meng-ke
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.05.2023; KeAi Communications Co., Ltd
• Subjects: Concrete-like materials; Deep learning; Dynamic behaviour; GA-BP network; LSTM network; Deep learning; Concrete-like materials; GA-BP network; Dynamic behaviour; LSTM network

Machine learning (ML) methods with good applicability to complex and highly nonlinear sequences have been attracting much attention in recent years for predictions of complicated mechanical properties of various materials. As one of the widely known ML methods, back-propagation (BP) neural networks...