文章基本信息

标题：Application of artificial neural networks and multiple linear regression on local bond stress equation of UHPC and reinforcing steel bars
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作者：Ahad Amini Pishro ; Shiquan Zhang ; Dengshi Huang 等
期刊名称：Scientific Reports
电子版ISSN：2045-2322
出版年度：2021
卷号：11
DOI：10.1038/s41598-021-94480-2
语种：English
出版社：Springer Nature
摘要：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 results of specimens, based on RILEM standards and using pullout tests, were assessed by the ANN algorithm using the TensorFlow platform. For each specimen, steel bar diameters ( \documentclass[12pt