LIFETIME PREDICTION OF REINFORCED CONCRETE STRUCTURES IN CARBONATION ENVIRONMENTS CARBONATION MODELLING VS AIR PERMEABILITY MODELLING
نویسندگان
چکیده
منابع مشابه
Towards practical carbonation prediction and modelling for service life design of reinforced concrete structures
Amongst the scientific community, the interest on durability of concrete structures has been high for quite a long time of over 40 years. Of the various causes of degradation of concrete structures, corrosion is the most widespread durability problem and carbonation is one of the two causes of steel reinforcement corrosion. While much scientific understanding has been gained from the numerous c...
متن کاملModelling and simulation of concrete carbonation: competition of several carbonation reactions
Concrete carbonation, i.e. the reaction of alkaline species (inside the concrete) with atmospheric carbon dioxide, is one of the major physicochemical processes compromising the service life of concrete structures. While the main carbonation reaction is that of calcium hydroxide, other constituents such as calcium silicates or calcium-silcate hydrates in the concrete can also carbonate. Many au...
متن کاملModelling and simulation of concrete carbonation with internal layers
Transport and reaction of carbon dioxide with alkaline species in concrete is modelled by a closed system of ordinary and partial differential equations. Varying porosity and varying external exposure as well as nonlinear reaction rates are taken into account. Proper nondimensionalisation is introduced to pay attention to the different characteristic time and length scales. We emphasise the eff...
متن کاملAssessing the Capability of Analytical Carbonation Models to Propagate Uncertainties and Spatial Variability of Reinforced Concrete Structures
Citation: Ravahatra NR, Duprat F, Schoefs F, de Larrard T and Bastidas-Arteaga E (2017) Assessing the Capability of Analytical Carbonation Models to Propagate Uncertainties and Spatial Variability of Reinforced Concrete Structures. Front. Built Environ. 3:1. doi: 10.3389/fbuil.2017.00001 Assessing the Capability of Analytical Carbonation Models to Propagate Uncertainties and Spatial Variability...
متن کاملBayesian Inference for Prediction of Carbonation Depth of Concrete Using MCMC
Bayesian inference of model parameters for the time dependent carbonation depth of concrete is presented. The statistical model is assumed to have a form of where implies the carbonation coefficient and stands for the modeling error which is assumed to have a normal distribution with zero mean and unknown variance. By the use of existing data for the natural outdoor exposed concrete, the poster...
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ژورنال
عنوان ژورنال: JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
سال: 2017
ISSN: 1392-3730,1822-3605
DOI: 10.3846/13923730.2015.1068849