A new meta-model to calculate carbonation front depth within concrete structures - Archive ouverte HAL
Journal Articles Construction and Building Materials Year : 2016

A new meta-model to calculate carbonation front depth within concrete structures

Abstract

Carbonation processes cannot be ignored as regards durability and service-life of new concrete structures, and their correct understanding and quantification are essential for maintenance and repair works on existing structures. This paper initially presents a new meta-model developed to calculate carbonation front depth based on the analytic solution of Fick's first law. The only input data required by this non numerical model are: (i) material variables (concrete mix design, maximum nominal aggregate size, cement type, and chemical composition of cement type CEM I and cement density); (ii) technological parameters (initial curing period (t(c))); (iii) environmental parameters (ambient temperature (1), relative external humidity (RH) and CO2 concentration in the air ([CO2](ext)). Consequently, this model is fully suitable for the prediction of carbonation depth in the case of new reinforced concrete structures, for which these required parameters are well-known. The meta-model is validated using data from the literature on short and long-term natural carbonation exposure conditions. Most of the experimental data concern CEM I, CEM II, CEM III cement types, and CEM I additives (fly ash (FA)) with various water to cement (W/C) ratios and t(c). The meta-model is also compared with two already available models: Papadakis' model and Yang's model. The three model predictions are compared with the corresponding values found in the literature. The results confirm that the prediction of the new meta-model proposed here for estimation of carbonation depth is the most accurate in every case.
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hal-01602476 , version 1 (13-12-2017)

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Van-Loc Ta, Stéphanie Bonnet, Tristan Senga Kiessé, Anne Ventura. A new meta-model to calculate carbonation front depth within concrete structures. Construction and Building Materials, 2016, 129, pp.172-181. ⟨10.1016/j.conbuildmat.2016.10.103⟩. ⟨hal-01602476⟩
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