Multiscale Stochastic Finite Element Modeling for Chloride Diffusion in Recycled Aggregate Concrete Using Digital Image Kernel

Samba Dia, Yu-Ching Wu

Abstract: Increased deposition of construction waste in the environment and the continued depletion of the natural resources for construction raw material has led to the growing research on recycled aggregate concrete to find out and prove whether it can be as durable as natural aggregate concrete. Durability of this type of concrete is of great concern especially in harsh environments such as seawater environments, areas exposed to numerous freezing and thawing cycles and areas containing chemicals like sulphates or chlorides This paper presents a multiscale stochastic finite element method that incorporates our newly developed digital image kernel for studying chloride diffusion in concrete and how it affects the durability of recycled aggregate concrete. The major focus of this study is to compare the development and application of our new digital image kernel with other five selected kernels from literature. The main purpose of this paper was to highlight the advantages and disadvantages in developing the kernel and in its application. Keywords: Recycled Aggregate Concrete, Multiscale Stochastic Finite Element Model, Karhunen-Loeve Theory, Chloride Diffusion, Digital Image Kernel. Title: Multiscale Stochastic Finite Element Modeling for Chloride Diffusion in Recycled Aggregate Concrete Using Digital Image Kernel Author: Samba Dia, Yu-Ching Wu International Journal of Civil and Structural Engineering Research ISSN 2348-7607 (Online) Research Publish Journals

Vol. 3, Issue 2, October 2015 – March 2016

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Multiscale Stochastic Finite Element Modeling for Chloride Diffusion in Recycled Aggregate Concrete Using Digital Image Kernel by Samba Dia, Yu-Ching Wu