Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Multi-Factor Coupling Model of Concrete Chloride-Ion Diffusion Coefficient in a Salt Lake

Version 1 : Received: 28 April 2019 / Approved: 30 April 2019 / Online: 30 April 2019 (11:10:26 CEST)

How to cite: Zhang, L.; Yu, H.; Li, J. Multi-Factor Coupling Model of Concrete Chloride-Ion Diffusion Coefficient in a Salt Lake. Preprints 2019, 2019040324. https://doi.org/10.20944/preprints201904.0324.v1 Zhang, L.; Yu, H.; Li, J. Multi-Factor Coupling Model of Concrete Chloride-Ion Diffusion Coefficient in a Salt Lake. Preprints 2019, 2019040324. https://doi.org/10.20944/preprints201904.0324.v1

Abstract

Immersion in salt-lake solution was adopted to periodically test the concrete chloride-ion diffusion coefficient. The regression analysis was also completed. Also investigated was the time-dependent law of concrete chloride-ion diffusion coefficient with time. The influence of chloride-ion concentration in solution, water-to-cement ratio, and corrosion time on the largeness and accumulation rate of the concrete chloride-ion diffusion coefficient was also analyzed. Test results show that the concrete chloride-ion diffusion coefficient gradually decreased with increasing time and increased with increasing chloride-ion concentration in a salt lake . Taking into account the influence of factors such as water–binder ratio, chloride-ion concentration, and time-varying characteristics, a multi-factor calculation model for the concrete chloride-ion diffusion coefficient was established. Combining the prediction results and the measured data reported in this paper, the effectiveness and applicability of the established concrete chloride-ion diffusion coefficient calculation model were compared and verified, and the durability design and service life of a concrete structure under cool chlorine were compared. The results of analysis provide important boundary conditions.

Keywords

salt-lake environment; concrete; concrete chloride-ion diffusion coefficient; multi-factor coupling model; chloride-ion concentration

Subject

Engineering, Civil Engineering

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