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Model for practical prediction of natural carbonation in reinforced concrete: Part 1-formulation
Affiliation:1. Tampere University of Technology, P.O. Box 600, FI-33101, Tampere, Finland;2. Engineering Office Lauri Mehto Oy, Finland;1. State Key Laboratory for Geomechanics and Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China;2. Jiangsu Collaborative Innovation Center for Building Energy Saving and Construction Technology, Jiangsu Vocational Institute of Architectural Technology, Xuzhou 221116, China;1. Key Laboratory of Performance Evolution and Control for Engineering Structures, Ministry of Education, Tongji University, 1239 Siping Rd., Shanghai 200092, PR China;2. Department of Structural Engineering, College of Civil Engineering, Tongji University, 1239 Siping Rd., Shanghai 200092, PR China;1. College of Ocean Science and Engineering, Shanghai Maritime University, Shanghai 201306, China;2. Institute for Infrastructure & Environment, Heriot-Watt University, Edinburgh, UK;3. Concrete Technology Unit, Division of Civil Engineering, University of Dundee, Dundee, UK
Abstract:A model is proposed for prediction of natural carbonation in reinforced concrete (RC) structures, and is potentially applicable to existing and new RC structures. The major components of the model comprise mathematical functions applied to predict the influence of concrete composition, and environmental factors on natural carbonation.This paper introduces the model concept and explains its structure including derivation, optimization and calibration. Over 163 data sets taken from a 10-year carbonation study were used in the model development and calibration. Only the experimental data that were based on outdoor natural exposure environment were employed in this research. Also in this study, the proposed model is compared with fib-Model Code 2010 using carbonation predictions generated from 346 data sets involving real world, highway structures. It is shown that the proposed model is comparably accurate and involves mainly basic tests with no major anticipated costs.
Keywords:Carbonation modelling  Mathematical formulation  Service life  Reinforced concrete  Supplementary cementitious materials  Durability design
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