Effect of the Randomness of the Relative Humidity on the Phenomenon of Carbonation of the Reinforced Concrete

Abstract

This paper deals with shows the randomness effect of the relative humidity on the carbonation phenomenon of the reinforced concrete. This analysis concentrates on the evaluation of carbonation depth (Xc) of the reinforced concrete from a probabilistic analysis. Monte Carlo simulations are realized under the assumption that the relative humidity at the surface of the concrete is random variables with a lognormal probability distribution.

Probabilistic Carbonation Simulations in Concrete Based on Marble Powder

“…In this study, the Water/Cement ratio, the CO2 pressure (CS) and the relative humidity (RH) are supposed to be determinist parameters, their coefficients of variation CVw/c, CVRH and CVCS are taken as zero [4]. The marble powder diameter (Dmp) is assumed as uncertain with a lognormal probability, which is suitable for strictly non-negative random variables with large values of coefficient of variation because in this case, simulations with normal distribution can give negative values [5].…”

Incidence of the Randomness of the Most Influential Parameters on the Reinforced Concrete Carbonation Time

“…The parameters of the lognormal distribution of W/C, RH and Cs are expressed as. [7,8] Finally, statistics of the time factors (mean, standard deviation and confidence interval) are calculated.…”