PREDICTION OF CHLORIDE DIFFUSIVITY FROM THREE-DIMENSIONAL SPATIAL IMAGE OF CEMENT BASED MATERIALS
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- AOYAMA Takuto
- HOKKAIDO UNIVERSITY, Graduate School of Engineering
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- KURUMISAWA Kiyofumi
- HOKKAIDO UNIVERSITY, Graduate School of Engineering
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- NAWA Toyoharu
- HOKKAIDO UNIVERSITY, Graduate School of Engineering
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- OWADA Hitoshi
- RADIOACTIVE WASTE MANAGEMENT FUNDING AND RESEARCH CENTER
Bibliographic Information
- Other Title
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- セメント硬化体の3次元イメージモデルによる塩化物イオンの拡散予測
Abstract
Transport characteristic of cement based materials is close to pore structure. To evaluate transport characteristic of cement based materials which have been used for super-long term, the microstructure of cement based materials will be metamorphosed by exterior environment, so it is necessary to consider the microstructure of cement based materials. However, many prediction models of transport characteristic focus only on pore structure, there are few prediction models of transport characteristic that consider the spatial distribution of C-S-H, portlandite, and pore. Therefore, this study focuses on the spatial distribution of each phase of cement based materials. From the 2-D backscattered electron image, the auto-correlation function of each phase of cement based materials is calculated, and the 3-D spatial image of cement based materials is estimated by using the auto-correlation functions. We attempt to estimate diffusion coefficient of chloride ion from the 3-D spatial image. Estimated value of the diffusion coefficient of chloride ion from the 3-D spatial image is as half as the experimental value. And we attempt to estimate diffusion coefficient of the deteriorated sample from 3-D spatial image of normal sample. There is a difference within 10 times between the estimated value from the 3-D spatial image of the normal sample and the experimental value of the deteriorated artificially sample.
Journal
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- Cement Science and Concrete Technology
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Cement Science and Concrete Technology 64 (1), 66-73, 2010
Japan Cement Association
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Keywords
Details 詳細情報について
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- CRID
- 1390001204830660480
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- NII Article ID
- 130004574673
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- ISSN
- 21873313
- 09163182
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed