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Computational model generation and RVE design of self-healing concrete

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Abstract

Computational homogenization is a versatile tool that can extract effective properties of heterogeneous or composite material through averaging technique. Self-healing concrete (SHC) is a heterogeneous material which has different constituents as cement matrix, sand and healing agent carrying capsules. Computational homogenization tool is applied in this paper to evaluate the effective properties of self-healing concrete. With this technique, macro and micro scales are bridged together which forms the basis for multi-scale modeling. Representative volume element (RVE) is a small (microscopic) cell which contains all the microphases of the microstructure. This paper presents a technique for RVE design of SHC and shows the influence of volume fractions of different constituents, RVE size and mesh uniformity on the homogenization results.

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Authors and Affiliations

  1. Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar, 99425, Germany

    Md. Shahriar Quayum, Xiaoying Zhuang & Timon Rabczuk

  2. Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China

    Xiaoying Zhuang

Authors
  1. Md. Shahriar Quayum
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  2. Xiaoying Zhuang
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  3. Timon Rabczuk
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Correspondence to Xiaoying Zhuang.

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Quayum, M.S., Zhuang, X. & Rabczuk, T. Computational model generation and RVE design of self-healing concrete. Front. Struct. Civ. Eng. 9, 383–396 (2015). https://doi.org/10.1007/s11709-015-0320-z

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  • DOI: https://doi.org/10.1007/s11709-015-0320-z

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