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http://dx.doi.org/10.7734/COSEIK.2016.29.5.463

Evaluation of Air Permeability of Virtual Cement Paste Specimen with Linear Void Ratio Gradient Constructed using Stochastic Optimization  

Kim, Se-Yun (Department of Civil and Environmental Engineering, Yonsei University)
Han, Tong-Seok (Department of Civil and Environmental Engineering, Yonsei University)
Publication Information
Journal of the Computational Structural Engineering Institute of Korea / v.29, no.5, 2016 , pp. 463-469 More about this Journal
Abstract
In this study, a virtual specimen with a linear continuous gradient of void ratio (FGM: Functional Graded Material) is constructed using low-order probability functions of two real cement paste specimens. Two real specimens with difference void ratios are taken from X-ray CT to construct the virtual specimen. A virtual specimen with a gradient void distribution, whose average void ratio is between void ratios of two homogeneous real specimens, is constructed using a stochastic optimization approach. The void ratio distribution is assumed to be linear, and continuously varies in the vertical direction. In this study, a gradient term of void ratio is incorporated into the objective function as well as low-order probability functions from the previous research. To confirm the effect of gradient void distribution on the material response, air permeability is evaluated using finite element analysis. The analysis results are compared with experimental results, and confirm the effect of gradient void distribution on permeability.
Keywords
cement paste; functional graded material; probability functions; stochastic optimization; finite element analysis;
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