A novel quantitative particle distance estimation method of low water/ binder cementitious composites (LW/B-CC): Modeling and verification

被引:0
|
作者
Liu, Kangning [1 ,2 ]
Yin, Tianyi [1 ,2 ]
Fan, Dingqiang [3 ]
Yu, Rui [1 ,2 ,4 ]
机构
[1] Wuhan Univ Technol, State Key Lab Silicate Mat Architectures, Wuhan 430070, Peoples R China
[2] Wuhan Univ Technol, Int Sch Mat Sci & Engn, Wuhan 430070, Peoples R China
[3] Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
[4] Wuhan Univ Technol, Adv Engn Technol Res Inst Zhongshan City, Xiangxing Rd 6, Zhongshan 528400, Guangdong, Peoples R China
基金
中国国家自然科学基金;
关键词
Particle dense packing; Low water/binder cementitious composite; (LW/B-CC); Water film theory; 1 H low-field NMR; FILM THICKNESS; PASTE FILM; CONCRETE; MICROSTRUCTURE; PERFORMANCE; RHEOLOGY; MORTAR; SEGREGATION; RELAXATION; HYDRATION;
D O I
10.1016/j.conbuildmat.2024.138770
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper intends to employ water film theory and 1H Low-field NMR (Lf-NMR) to quantitatively evaluate the particle packing state of low water/binder cementitious composite (LW/B-CC) at different scales. The specific approach involves establishing particle distance models to evaluate the macroscopic, mesoscopic, and microscopic particle packing states of LW/B-CC samples using water film theory and Lf-NMR. The results indicate that Macro_PD is positively related to the product of plastic viscosity and distance of aggregate segregation, Meso_PD shows negatively related to the elastic modulus of ITZ. And Micro_PD can indicate different hydration period. Finally, a multiple linear regression analysis is used to establish a quantitative relationship between PD of different scales and compressive strength. The established particle distance models at different scales are proved to have significant guiding implications for various properties of LW/B-CC. This study presents a novel evaluation method for the particle packing state and provides guidance for the mix design of LW/B-CC.
引用
收藏
页数:20
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