Variation of Diffusion Coefficient for Selected Binary and Ternary Concrete Mixtures Considering Concrete Aging Effect

Article Preview

Abstract:

The paper deals with the variation of resistance of selected High Performance Concrete (HPC) materials against chloride ion penetration. The resistance of chloride penetration is described by means of the diffusion coefficient and it is derived from emerging non-destructive tests. It is computed from the measurements of surface electrical resistivity (see e.g. AASTHTO TP-95 specification) data. The effect of concrete aging on the diffusion coefficient is taken into account as the concrete properties are time dependent and it is significantly important for High Performance Concrete (HPC) materials.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

144-147

Citation:

Online since:

January 2018

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2018 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] M. G. Stewart, D.V. Rosowsky, Time-dependent reliability of deteriorating reinforced concrete bridge deck, Struct. Saf. 20 (1998) 91-109.

DOI: 10.1016/s0167-4730(97)00021-0

Google Scholar

[2] P.J. Tikalsky, D. Pustka, P. Marek, Statistical variations in chloride diffusion in concrete bridges, ACI Struct. J. 102 (2005) 481-486.

Google Scholar

[3] B. Teplý, D. Vořechovská , Reinforcement Corrosion: Limit States, Reliability and Modelling. J. Adv. Conc. Technol. 10 (2012) 353-362.

Google Scholar

[4] P. Ghosh, P. Konečný, P.J. Tikalsky, SBRA model for corrosion initiation of concrete structures. RILEM Bookseries, 5 (2011) 85-100.

DOI: 10.1007/978-94-007-0677-4_5

Google Scholar

[5] C. Andrade, Calculation of chloride diffusion coefficients in concrete from ionic migration measurements. Cement Concrete Res. 23 (1993) 724-742.

DOI: 10.1016/0008-8846(93)90023-3

Google Scholar

[6] W. Morris, E.I. Moreno, A.A. Sagues, Practical evaluation of resistivity of concrete in test cylinders using a Wenner array probe, Cement Concrete Res. 26 (1996) 1779-1787.

DOI: 10.1016/s0008-8846(96)00175-5

Google Scholar

[7] P. Mangat, B. Molloy, Prediction of long term chloride concentration in concrete. Mater. Struct. 27 (1994) 338–346.

DOI: 10.1007/bf02473426

Google Scholar

[8] M.D.A. Thomas, P.B. Bamforth, Modelling chloride diffusion in concrete effect of fly ash and slag. Cement Concrete Res. 29 (1999) 487–495.

DOI: 10.1016/s0008-8846(98)00192-6

Google Scholar

[9] fib Model Code 2010 (2012) fib Bulletins 65 and 66 (and No. 34: Model Code for Service Life Design, 2006).

Google Scholar

[10] Probabilistic model code: Joined Committee for Structural Safety. On line: http: /www. jcss. byg. dtu. dk/Publications/Probabilistic_Model_Code. aspx.

Google Scholar

[11] P. Ghosh, Q. Tran, Correlation between Bulk and Surface Resistivity of Concrete, International Journal of Concrete Structures and Materials. 9 (2014) 119-132.

DOI: 10.1007/s40069-014-0094-z

Google Scholar

[12] Q. Tran, P. Ghosh, P. Konečný, P. Lehner, Determination of Time Dependent Diffusion Coefficient Aging Factor of HPC Mixtures. Key Eng. Mat. (Under review).

DOI: 10.4028/www.scientific.net/kem.832.11

Google Scholar

[13] X. Lu, Application of the Nernst-Einstein Equation to Concrete, Cement Concrete Res. 27 (1997) 293-302.

DOI: 10.1016/s0008-8846(96)00200-1

Google Scholar