A VEDA simulation on cement paste: using dynamic atomic force microscopy to characterize cellulose nanocrystal distribution

被引：5

作者：

Cao, Yizheng ^{[1
]}

Verian, Kho Pin ^{[2
]}

机构：

[1] lbany Mol Res Inc, SSCI, W Lafayette, IN 47906 USA

[2] Solidia Technol, Piscataway, NJ 08854 USA

来源：

MRS COMMUNICATIONS | 2017年 / 7卷 / 03期

关键词：

omega; real-time frequency; omega(d); driving frequency; omega(n); natural frequency; omega(0); resonant frequency of the oscillator in vacuum; rho; density; eta; viscosity; K; constant for a given cantilever; p(1); p(2); q(1); q(2); q(3); q(4); fitting coefficients; C; CNC concentration;

D O I：

10.1557/mrc.2017.57

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Cellulose nanocrystal (CNC) enhances mechanical performance of cement composites via short-circuit diffusion (SCD). CNCs transport water along their hydrophilic surface into the unhydrated cement cores to induce extra hydration. It is important to characterize CNC distribution because it determines the SCD pathways. This study for the first time, employs virtual environment dynamic atomic force microscopy, an atomic force microscopy computational tool to investigate CNC distribution in both fresh and hardened cement pastes. The methods not only provide insights in a static context (hardened sample), but also offer opportunities to evaluate the interaction of CNCs with calcium-silicate-hydrate growth during the kinetic early ages of hydration.

引用

页码：672 / 676

页数：5

共 30 条

[1] Measurement of solution viscosity by atomic force microscopy [J].