Suppr超能文献

剑麻纤维增强泡沫混凝土在静载和疲劳荷载作用下的抗弯性能

Flexural Performance of Sisal Fiber Reinforced Foamed Concrete under Static and Fatigue Loading.

作者信息

Huang Jun, Tian Guoxin, Huang Peiyan, Chen Zhanbiao

机构信息

College of Civil Engineering and Architecture, Wenzhou University, Wenzhou 325035, China.

School of Civil Engineering and Architecture, Guangxi University of Science and Technology, Liuzhou 545006, China.

出版信息

Materials (Basel). 2020 Jul 10;13(14):3098. doi: 10.3390/ma13143098.

Abstract

To improve the weak mechanical properties of the foamed concrete that resulted from a large number of pores, a plant fiber is used as fill with the matrix. In this study, five contents of sisal fiber are added into the foamed concrete to investigate the static and fatigue performance of composites. The static and fatigue experimental results show that the sisal fiber can improve the mechanical properties of the foamed concrete. When the content of sisal fiber is less than 0.15%, the higher the content of sisal fiber, the greater the bending strength and fatigue life of the foamed concrete. In contrast, if the sisal fiber content is larger than 0.15%, the bending strength and fatigue life decrease with the increasing fiber content. From the regression analyses, the results show that the double linear relationships exist not only between the sisal fiber content and the flexural strength, but also between the sisal fiber content and the fatigue life of the foamed concrete. In this study, the optimal content of sisal fiber mixed in the foamed concrete can be inferred to be 0.133%.

摘要

为改善因大量孔隙导致的泡沫混凝土力学性能薄弱的问题,使用植物纤维填充基体。在本研究中,将五种含量的剑麻纤维添加到泡沫混凝土中,以研究复合材料的静态和疲劳性能。静态和疲劳试验结果表明,剑麻纤维可改善泡沫混凝土的力学性能。当剑麻纤维含量小于0.15%时,剑麻纤维含量越高,泡沫混凝土的抗弯强度和疲劳寿命越大。相反,如果剑麻纤维含量大于0.15%,抗弯强度和疲劳寿命会随着纤维含量的增加而降低。回归分析结果表明,剑麻纤维含量与泡沫混凝土的抗弯强度之间以及剑麻纤维含量与疲劳寿命之间均存在双线性关系。在本研究中,可以推断出泡沫混凝土中剑麻纤维的最佳含量为0.133%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3dee/7412365/139d46fc33b6/materials-13-03098-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验