4.7 Article

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

期刊

CONSTRUCTION AND BUILDING MATERIALS
卷 129, 期 -, 页码 172-181

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.conbuildmat.2016.10.103

关键词

Natural carbonation; Reinforced concrete; Fick's first law; Meta-model

资金

  1. Chamber of Trade and Industry of Nantes and Saint-Nazaire cities
  2. CARENE (urban agglomeration of Saint-Nazaire)
  3. Charier
  4. Architectes Ingenieurs Associes
  5. Vinci construction
  6. Regional Federation of Buildings
  7. Regional Federation of Public Works

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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. 2016 Elsevier Ltd. All rights reserved.

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