4.5 Article

Strain rate sensitivity of strain-hardening fiber-reinforced concrete subjected to dynamic direct tensile loading

期刊

STRUCTURAL CONCRETE
卷 -, 期 -, 页码 -

出版社

ERNST & SOHN
DOI: 10.1002/suco.202300287

关键词

artificial neural network; matrix strength; strain rate sensitivity; strain-hardening fiber-reinforced concrete; tensile resistance

向作者/读者索取更多资源

This study investigates the effects of matrix strength on the high-rate tensile resistance and strain rate sensitivity of strain-hardening fiber-reinforced concretes (SHFRCs) under direct tensile loading. The results show that high-performance concrete (HPC) has relatively lower post cracking strength but higher strain capacity at a high strain rate compared to ultra-high-performance concrete (UHPC). Furthermore, the proposed artificial neural network (ANN) model is an efficient tool for predicting the strain rate sensitivity of SHFRCs.
This study investigates the effects of matrix strength on the high-rate tensile resistance and strain rate sensitivity of strain-hardening fiber-reinforced concretes (SHFRCs) under direct tensile loading. Two types of deformed steel fiber, hooked and twisted, were reinforced in two matrices, high-performance concrete (HPC) with compressive strength of 84 MPa and ultra-high-performance concrete (UHPC) with compressive strength of 180 MPa. Additionally, an artificial neural network (ANN) based model was proposed to estimate the strain rate sensitivity of SHFRCs subjected to dynamic direct tensile loading. The results showed that HPC produced relatively lower post cracking strength but much higher strain capacity at a high strain rate than UHPC. Moreover, HPC was found to be more strain rate sensitivity than UHPC. Furthermore, the proposed ANN model was an efficient tool for predicting the strain rate sensitivity of SHFRCs. Based on the sensitivity analysis, the contribution of each influence factor on the final strain rate sensitivity of SHFRCs can be determined.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据