Service Life Prediction for Concrete Structures by Time-Depth Dependent Chloride Diffusion Coefficient

A Simple Model for the Chloride Diffusion Coefficient of Steel Fibre Reinforced Concrete

“…The number of aggregate particles in the unit volume of concrete can be calculated with: (9) where N j is the number of aggregate particles (it represents fine aggregates when j = 1, and represents coarse aggregates when j = 2), W j is the mass of the aggregates in the unit volume of concrete and ρ j is the density of the aggregate; C i is the mass fraction of the aggregates with a diameter between d i (mesh size of the i th sieve) and d i+1 , M is the number of sieves. The average radius of the aggregate particles can be obtained with: (10) With known t i (thickness of the ITZ) and − r a (average radius of the aggregates), ε − can be easily determined, and the chloride diffusion coefficient of concrete can then be calculated with Equation 7.…”

“…The most important parameter describing chloride ingress into concrete is the chloride diffusion coefficient, which is also a key factor in the service life evaluation of concrete structures [10]. Considerable efforts have been made by using experimental and modelling methods to investigate the chloride diffusion coefficient of concrete [11][12][13].…”

Service life optimization and life cycle assessment of concrete using SCMs as partial replacement of cement

“…That may theoretically be established by mathematical modelling of a chloride transportation mechanism [9]. A typical acceptable mathematical model to describe the fluctuating diffusion ways of chloride infiltration in a concrete infrastructure is diffusion equating based on Fick's second law of diffusion [10]. The majority of the study has focused on simulating the diffusion of chloride ions through uncracked concrete using Fick's second rule [11].…”