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Modeling Heat and Moisture Transport in Steam-Cured Mortar: Application to AASHTO Type VI Beams

Published

Author(s)

Emilio Hernandez-Bautista, Sadoth Sandoval-Torres, Prisciiano Cano Barrita, Dale P. Bentz

Abstract

During steam curing of concrete, temperature and moisture gradients are developed, which are difficult to measure experimentally and can adversely affect the durability of concrete. In this research, a model of cement hydration coupled to moisture and heat transport was used to simulate the process of steam curing of mortars with water-to-cement (w/c) ratios by mass of 0.30 and 0.45, considering natural convection boundary conditions in mortar and concrete specimens of AASHTO Type VI Beams. The primary variables of the model were moisture content, temperature, and degree of hydration. Moisture content profiles of mortar specimens (40 mm in diameter and 50 mm in height) were measured by magnetic resonance imaging. The degree of hydration was obtained by mass-based measurements of loss on ignition to 1000 °C. The results indicate that the model correctly simulates the moisture distribution and degree of hydration in mortar specimens. Application of the model to the steam curing of an AASHTO Type VI beam indicates thermal gradients (between the surface and the center) higher than 20 °C during the cooling stage, and internal temperatures higher than 70 °C that may compromise the durability of the concrete.
Citation
Construction and Building Materials
Volume
151

Keywords

AASHTO Type VI concrete beam, heat and mass transport, hydration, magnetic resonance imaging, mortar, steam curing.

Citation

Hernandez-Bautista, E. , Sandoval-Torres, S. , Cano Barrita, P. and Bentz, D. (2017), Modeling Heat and Moisture Transport in Steam-Cured Mortar: Application to AASHTO Type VI Beams, Construction and Building Materials, [online], https://doi.org/10.1016/j.conbuildmat.2017.05.151, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922197 (Accessed October 12, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created June 21, 2017, Updated October 12, 2021