A multi-scale percolation-based approach for the prediction of elasticity of early-age cement paste

Zhao, Haitao; Wu, Shengxing; Huang, Donghui; Chen, Xudong; Zhao, Lijun

doi:10.1080/19648189.2013.834602

Cited by 5 publications

(9 citation statements)

References 33 publications

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“…However, there is a discrepancy between the experiment and the model for cement paste having a low w/c ratio (e.g., 0.3), and the model exhibits a quasi-linear relationship between the elastic modulus trend with the hydration degree. This discrepancy was previously assigned to the measuring accuracy (Stefan et al, 2010;Zhao et al, 2013).…”

Section: Resultsmentioning

confidence: 93%

“…Figure 4 compares the present model results, experimental data of Boumiz et al (1996), and numerical data of Zhao et al (2013), who combined the CEMHYD3D hydration model, SCS, and a burning algorithm. The elastic modulus predicted by our modeling approximately coincides with that obtained by Zhao et al (2013).…”

Section: Resultsmentioning

confidence: 99%

“…The isolated clusters (or non-percolated solid particles) do not contribute to shear stiffness. Their mechanical behavior is similar to that of water (Šmilauer et al, 2006;Zhao et al, 2013), so that we consider them as voids. Only percolated solid phase (or spanning clusters) contributes to the mechanical properties of the particular microstructure.…”

Section: Homogenization Methodsmentioning

confidence: 98%

“…Several homogenization methods have been used. As an example, the SCS scheme was used by Bernard et al (2003), Sanahuja et al (2007), and Zhao et al (2013), while the FEM and Fast Fourier Transform elastic homogenization were applied by Šmilauer et al (2006). Additionally, a burning algorithm was used by Stefan et al (2010) and Zhao et al (2013) to obtain the connected volume of solids.…”

Section: Homogenization Methodsmentioning

confidence: 99%

“…However, Powers' model might be imprecise. Adopting CEMHYD3D to capture the hydration microstructure accurately, Zhao et al (2013) studied the elastic properties of hydrating cement pastes with a method similar to Stefan et al (2010). However, this model was inconsistent with the experimental evolution of the elastic properties with a low w/c ratio.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

An Efficient Approach of Predicting the Elastic Property of Hydrating Cement Paste

Dui

Jia

et al. 2021

Front. Mater.

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Although elastic properties of hydrating cement paste are crucial in concrete engineering practice, there are only a few widely available models for engineers to predict the elastic behavior of hydrating cement paste. Therefore, in this paper, we derive an analytical model to efficiently predict the elastic properties (e.g., Young’s modulus) of hydrating cement paste. Notably, the proposed model provides the prediction of hydration, percolation, and homogenization of the cement paste, enabling the study of the early age elasticity evolution in cement paste. A hydration model considering the mineral composition and the initial w/c ratio was used, while the percolation threshold was calculated adopting a phenomenological semi-empirical method describing the effects of the solid volume fraction and the w/c ratio. An efficient mixing rule based on the degree of solid connectivity was then adopted to calculate the elastic properties of the hydrating cement paste. Moreover, for ordinary Portland cement, a simplified model was built using Powers’ hydration model. The obtained modeling results are following experimental data and other numerical results available in the literature.

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Section: Resultsmentioning

confidence: 93%