Desorption-based and probabilistic finite difference approach to predict time to repair chloride-exposed concrete by fly ash concrete including assessment of CO2 emission
Abstract:
This study aims at presenting 2 main topics as follows.
For the first topic, probabilistic and sensitivity analysis of service life (or time to repairs) of concrete structures under chloride attack. Four groups of probabilistic parameters are determined, i.e., (1) time-dependent chloride content, (2) mean and median of corrosion initiation and repair application times, (3) percent confidence of repairs, and (4) the total expected number of repairs. To achieve this, this study proposes a computational approach and probabilistic data. The proposed approach, which combined the Latin Hypercube technique with Crank-Nicolson based finite difference approach, is developed for predicting probabilistic chloride diffusion in concrete with repairs by cover concrete replacement. Probabilistic data of four governing random variables (surface chloride, diffusion coefficient, concrete cover depth, and critical chloride) and six repair strategies for corrosion-free condition are introduced. Numerical assessment is then shown.
For the second topic, a quantitative method to assess the corrosion-free service life and the environmental impact in terms of CO2 due to repairs by replacing cover concrete with fly ash concrete on chloride-exposed concrete structures is studied. The study takes advantage of the Crank-Nicolson based finite difference approach to simplify the assessment. Using the approach, the service life and the repair time for corrosion-free condition of concrete structures can be predicted. At the time of repairs, the CO2 occurs due to concrete production and replacement processing.