Reactive transport numerical modeling of mortar carbonation: Atmospheric and accelerated carbonation. (May 2019)

• Record Type: Journal Article
• Authors: Jeong, Jena; Ramézani, Hamidréza; Chuta, Edgar
• Is Part Of: Journal of building engineering. Volume 23(2019)
• Page Start: 351
• Page End: 368
• Publication Date: 2019-05
• Subjects: Multi-reactional kinetics -- Carbonation modeling -- Reactive transport -- DTG -- 3D-FEM -- Spherical packing; Building -- Periodicals; 690.05
• DOI: 10.1016/j.jobe.2019.01.038
• Languages: English
• ISSNs: 2352-7102

Abstract

Abstract: In the present paper, mathematical modeling and numerical solution for the 3D carbonation phenomenon on cement mortars involving aggregates have been investigated for the first time. To achieve this assessment, the Papadakis analytical proposal has been fully investigated under 1D and 3D considerations. The molar concentration variations of the hydrates (CSH and Ca(OH)2 ) and unhydrated grains (C2 S and C3 S) have been analyzed during carbonation, including hydration phenomenon. At the first stage, 1D numerical modeling of multi-reaction carbonation has been applied to atmospheric carbonation and verified by experiments in the literature. Afterwards, numerical simulations have been achieved on 3D numerical mortar samples for accelerated carbonation including aggregates using the relevant granulometry, whose applications sustain more realistic outcomes. The numerical solution has been done using the finite element method for the extremely non-linear transient system of PDEs. The numerical experiments have been compared to those done using the pH detector (Phenolphthalein and Thymophtaleine) and Differential Thermal Analysis (DTA). Some conclusions and outlooks pertaining to carbonation modeling have been emphasized, including water migration and CaCO3 precipitation issues in improving the analytical modeling for accelerated carbonation cases. Abstract : Highlights: Multi-reactive hydration/carbonation modeling. Atmospheric & accelerated carbonation experiments. 3D-FEM modeling including the random spherical packing. Differential Thermal Analysis (DTA). Phenolphthalein and Thymophtaleine pH detectors.