The effect of statistical fluctuation, finite size error, and digital resolution on the phase percolation and transport properties of the NIST cement hydration model

By Edward J. Garboczi, D. Bentz. 2001

192 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Mechanics of Materials

View Paper: https://www.semanticscholar.org/paper/602a72dd74eb7f029cc9543ed6d97cfe246bb5d1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Vít S˘milauer
2. Z. Bittnar
3. Wenxiang Xu
4. Huisu Chen
5. Dejian Shen
6. Lin Liu

In Computational Theory and Mathematics

1. Vít S˘milauer
2. Z. Bittnar

In Mechanics of Materials

1. Vít S˘milauer
2. Z. Bittnar
3. Wenxiang Xu
4. Huisu Chen
5. Dejian Shen
6. Lin Liu

Citations in the corpus

• Aggregate shape effect on the diffusivity of mortar (2014, background): “Simulations in literature [45,53] indicated that the predicted transport property increases when smaller voxels are used, because the aggregate shape and the connectivity between the ITZ voxels are better represented.”
• Microstructure-based micromechanical prediction of elastic properties in hydrating cement paste (2006, methodology): “Larger boxes than 3×3×3 voxels are physically unjustified since a dissolved phase cannot jump over a solid voxel [10].”
• X-ray microtomographic studies of pore structure and permeability in Portland cement concrete (2005, unknown): “This resolution dependence on pore connectivity was addressed by Garboczi and Bentz [21] with respect to properties of model cement system.”