Experimental and Mesoscopic Lattice Numerical Investigation of Increase of Chloride Diffusivity Coefficient during Uniaxial Loading Model

Authors

  • Bui Truong Son Author
  • Pham Duc Tho Author
  • Tran The Truyen Author
  • Nguyen Thi Nu Author
  • Vu Minh Ngoc Author

DOI:

https://doi.org/10.29227/IM-2020-02-05

Keywords:

lattice model, durability of concrete, coastal regions, chloride diffusion

Abstract

This paper presents experimental and simulation results of the change in the chloride diffusion coefficient of concrete C40 (f ’c=40 MPa) during axial loading. Test Method for Electrical Indication was used to measure the chloride diffusivity of the concrete sample during the axial loading. A mesoscopic lattice model is proposed to describe the variation of chloride diffusion coefficient versus dam - age variable. In such a model, the domain of material is discretized randomly by using Voronoi tessellation for the transport element and Delaunay triangulation for a mechanical element. At the mesoscale, the concrete is constituted by three phases: aggregate, cement paste and ITZ, in which aggregate is assumed to be elastic while cement matrix and ITZ are represented by a damage model with softening. The experimental and numerical results show that in the first stage, without crack (s < 40%smax), the chloride diffusion coefficient remains almost constant, however in the crack initiation and propagation stage (s = 60-80%smax) chloride diffusion coef - ficient increases significantly. An empirical power model is also proposed to describe the increase of the chloride diffusion coefficient versus stress level and damage variable.

Author Biographies

  • Bui Truong Son

    University of Mining and Geology, Hanoi, Vietnam; email: buitruongson@humg.edu.vn

  • Pham Duc Tho

    University of Mining and Geology, Hanoi, Vietnam; email: phamductho@humg.edu.vn

  • Tran The Truyen

    University of Transport and Communications, Hanoi, Vietnam; email: tranthetruyen@utc.edu.vn

  • Nguyen Thi Nu

    University of Mining and Geology, Hanoi, Vietnam; email: nguyenthinu@humg.edu.vn

  • Vu Minh Ngoc

    Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Vietnam; Faculty of Civil Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam; email: vuminhngoc@tdtu.edu.vn

Published

2020-12-30

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