Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars

• Published in: Scientific reports Vol. 11; no. 1; pp. 15061 - 20
• Main Authors: Amini Pishro, Ahad, Zhang, Shiquan, Huang, Dengshi, Xiong, Feng, Li, WeiYu, Yang, Qihong
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 23.07.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166/986; 639/705/1041; 639/705/1042; Algorithms; Humanities and Social Sciences; multidisciplinary; Neural networks; Regression analysis; Science; Science (multidisciplinary); Steel

We investigated the use of an Artificial Neural Network (ANN) to predict the Local Bond Stress (LBS) between Ultra-High-Performance Concrete (UHPC) and steel bars, in order to evaluate the accuracy of our LBS equation, proposed by Multiple Linear Regression (MLR). The experimental and numerical LBS...