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Prediction of the diffusivity of cement-based materials using a three-dimensional spatial distribution model

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Title: Prediction of the diffusivity of cement-based materials using a three-dimensional spatial distribution model
Authors: Kiyofumi, Kurumisawa Browse this author →KAKEN DB
Toyoharu, Nawa Browse this author →KAKEN DB
Hitoshi, Owada Browse this author
Keywords: Microstructure
Diffusion coefficient
Backscattered electron image
Issue Date: Mar-2012
Publisher: Elsevier
Journal Title: Cement and Concrete Composites
Volume: 34
Issue: 3
Start Page: 408
End Page: 418
Publisher DOI: 10.1016/j.cemconcomp.2011.11.011
Abstract: A three-dimensional image of hardened cement paste was reconstructed using a backscattered electron image (BEI) and used to predict the diffusion properties of hardened cement paste. After the BEI observations, an autocorrelation function (ACF) was calculated for each phase of the hardened cement paste, including the unhydrated cement, portlandite, and large pores. A three-dimensional image was reconstructed on the basis of the ACF based on random distributions. The dynamic elastic modulus and diffusion coefficient were calculated using a finite-element or finite difference method with the reconstructed three-dimensional images. The elastic modulus of the C-S-H phase was determined by micro-indentation, and the diffusivity of C-S-H was calculated using this elastic modulus based on previous reports. The resulting predicted dynamic elastic moduli and diffusion coefficients were in good agreement with the experimental results. Although, it was observed that the predicted values of the diffusivity of the blended cement pastes is different from the measured values, a new relationship between diffusivity and porosity of C-S-H in blended cement pastes was developed in this study.
Type: article (author version)
Appears in Collections:工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 胡桃澤 清文

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