期刊
ACI MATERIALS JOURNAL
卷 114, 期 1, 页码 77-91出版社
AMER CONCRETE INST
DOI: 10.14359/51689483
关键词
fiber factor; fiber homogeneity; fiber rigidity; material performance; self-consolidating cement-based materials; suspending fluid thickness
The segregation and non-uniform distribution of fibers throughout the cement-based materials (CMs) can lead to heterogeneous properties in hardened material with direct impact on mechanical properties. An experimental investigation was undertaken to identify the critical (F-c) and dense (F-d) fiber factor limits to link the packing density, flowability, stability, and fiber homogeneity in the fresh state to material performance in the hardened state of fiber-reinforced self-consolidating cement-based material (FRSCCM). The wet packing density approach was employed to determine the optimum suspending fluid thickness (SFT) covering fibers that is required to maintain flow characteristics and secure flow-induced uniform fiber dispersion. To evaluate the effect of fiber rigidity, two fiber types were investigated, including glass (GL) and polypropylene (PP) fibers. The stability of fiber dispersion was quantitatively evaluated along the freshly cast prism of sample. The Fc and Fd fiber factor limits are shown to be affected by the inclusion of solid particles and fiber rigidity. Given higher interlocking, the incorporation of semi-rigid GL fibers results in lower fiber factor limits compared to the flexible PP fibers. The mechanical properties of FRSCCMs were found to be strongly affected by the SFT surrounding the fibers. For FRSCCM made with fiber factors higher than Fd, the thickness of suspending fluid covering fibers is not sufficient, thus leading to higher potential formation of fiber clumping and anisotropy in material performance. The findings in this paper can provide better understanding for mixture design of FRSCCM by adjusting the SFT and fiber factor to enhance the flow-induced fiber dispersion and secure optimal hardened properties.
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。
推荐
暂无数据