4.3 Article

Shear-Critical Deep Beams with Embedded Functionally Graded Concrete Struts

期刊

ACI STRUCTURAL JOURNAL
卷 119, 期 6, 页码 245-258

出版社

AMER CONCRETE INST
DOI: 10.14359/51734805

关键词

deep beams without transverse reinforcement; distributed fiber-optic strain sensing; fresh-on-fresh concrete casting; functionally graded concrete (FGC); low-carbon concrete; low-cement content concrete; strut-and-tie model (STM)

资金

  1. Natural Sciences and Engineering Research Council of Canada
  2. Government of Ontario
  3. Transport Canada

向作者/读者索取更多资源

Novel functionally graded concrete deep beams without transverse reinforcement were constructed for transfer girder applications. The beams were tested and monitored, revealing the highest load capacity increase in diagonal-shaped embedded struts. Distributed fiber-optic sensors (DFOS) enhanced the understanding of the strut-and-tie mechanisms.
In this research, novel functionally graded concrete deep beams without transverse reinforcement for transfer girder applications were constructed with varying shaped embedded high-strength struts surrounded by low-cement content concrete. The cement content in the low-cement content concrete also varied, with a maximum total beam cement reduction of 47% compared to the control. The placement method also varied, further revealing issues with fresh-on-hardened concrete casting. The beams were tested in three-point bending and monitored using distributed fiber-optic sensors (DFOS) and digital image correlation. The results of the tests revealed that diagonal-shaped embedded struts designed for three-point bending had the highest load capacity increase of up to 26%. However, using shapes not compatible with three-point bending resulted in load capacity decreases. DFOS also enhanced the understanding of strut-and-tie mechanisms, allowing for the visualization of the strain distribution in struts and quantifying formations of the strut and tie.

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

4.3
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