Prediction of Temperature Development of Concrete with Set-Controlling Admixture Based on a New Hydration Kinetics Model

Temperature control is needed in the construction process of massive concrete and it can avoid the concrete cracks. Prediction of temperature development based on a hydration kinetics model can reduce the need for adiabatic temperature rise tests for concrete. However, the existing hydration kinetics model cannot accurately describe the hydration process of cement, thereby limiting the ability to further accurately predict the temperature rise of concrete based on the hydration kinetics model. This paper aims to establish a new hydration kinetics model, which is based on nucleation and growth model, and to predict the temperature development of concrete with set-controlling admixture based on this model. In this paper, the nucleation and growth of hydration products and the diffusion of free water by the modified boundary of nucleation and growth (BNG) model and the modified Fuji and Kondo’s model are described. The relationship between nucleation rate and apparent activation energy and the relationship between effective diffusion coefficient and apparent activation energy are linear. However, the relationship between growth rate and apparent activation is exponential. Finally, the temperature development of concrete can be calculated by the hydration degree of the cement.

[1]  Zhaofeng Li,et al.  Mechanism of retarder on hydration process and mechanical properties of red mud-based geopolymer cementitious materials , 2022, Construction and Building Materials.

[2]  Kaiqiang Liu,et al.  Quantitative determination of the hydrostatic pressure of oil-well cement slurry using its hydration kinetics , 2022, Construction and Building Materials.

[3]  X. Guan,et al.  Effect of triethanolamine on the chloride binding capacity of cement paste with a high volume of fly ash , 2021, Construction and Building Materials.

[4]  Lijun Sun,et al.  Cement hydration kinetics study in the temperature range from 15 °C to 95 °C , 2021 .

[5]  X. Guan,et al.  Hydration kinetics of cement-calcined activated bauxite tailings composite binder , 2021 .

[6]  P. Yan,et al.  A new hydration kinetics model of composite cementitious materials, Part 2: Physical effect of SCMs , 2020 .

[7]  X. Kong,et al.  Towards a further understanding of cement hydration in the presence of triethanolamine , 2020 .

[8]  Yu Yan,et al.  Effect of a novel starch-based temperature rise inhibitor on cement hydration and microstructure development , 2020 .

[9]  P. Yan,et al.  A new hydration kinetics model of composite cementitious materials, part 1: Hydration kinetic model of Portland cement , 2020, Journal of the American Ceramic Society.

[10]  Jiaping Liu,et al.  Recent advance of chemical admixtures in concrete , 2019, Cement and Concrete Research.

[11]  G. Saoût,et al.  Influence of triethanolamine on cement pastes at early age of hydration , 2017 .

[12]  Zechuan Yu,et al.  Effect of triethanolamine on cement hydration toward initial setting time , 2017 .

[13]  M. Zając,et al.  Effect of retarders on the early hydration of calcium-sulpho-aluminate (CSA) type cements , 2016 .

[14]  S. Poyet,et al.  Modeling hydration kinetics based on boundary nucleation and space-filling growth in a fixed confined zone , 2016 .

[15]  Jin-keun Kim,et al.  Development of a portable device and compensation method for the prediction of the adiabatic temperature rise of concrete , 2016 .

[16]  Jeffrey J. Thomas,et al.  A Reaction Zone Hypothesis for the Effects of Particle Size and Water‐to‐Cement Ratio on the Early Hydration Kinetics of C3S , 2014 .

[17]  G. Scherer,et al.  Prediction of the degree of hydration at initial setting time of cement paste with particle agglomeration , 2012 .

[18]  K. Folliard,et al.  Modeling hydration of cementitious systems , 2012 .

[19]  Josephine H. Cheung,et al.  Impact of admixtures on the hydration kinetics of Portland cement , 2011 .

[20]  Jeffrey W. Bullard,et al.  Modeling and simulation of cement hydration kinetics and microstructure development , 2011 .

[21]  Han-Seung Lee,et al.  Modeling the hydration of concrete incorporating fly ash or slag , 2010 .

[22]  Robert J. Flatt,et al.  Dissolution theory applied to the induction period in alite hydration , 2010 .

[23]  In-Seok Yoon,et al.  Prediction of Temperature Distribution in High-Strength Concrete Using Hydration Model , 2008 .

[24]  Alexandre G. Evsukoff,et al.  Modeling adiabatic temperature rise during concrete hydration: A data mining approach , 2006 .

[25]  Takafumi Noguchi,et al.  Modeling of hydration reactions using neural networks to predict the average properties of cement paste , 2005 .

[26]  P. Brown Effects of Particle Size Distribution on the Kinetics of Hydration of Tricalcium Silicate , 1989 .

[27]  N. L. Thomas,et al.  The retarding action of sugars on cement hydration , 1983 .

[28]  J. F. Young,et al.  A review of the mechanisms of set-retardation in portland cement pastes containing organic admixtures , 1972 .

[29]  R. W. Previte SOME INSIGHTS ON THE MECHANISM OF SACCHARIDE SET RETARDATION OF PORTLAND CEMENT , 1971 .

[30]  B. Erno,et al.  The kinetics of hydration of tricalcium silicate , 1970 .

[31]  M. Avrami Kinetics of Phase Change. II Transformation‐Time Relations for Random Distribution of Nuclei , 1940 .

[32]  K. Scrivener,et al.  The needle model: A new model for the main hydration peak of alite , 2019, Cement and Concrete Research.

[33]  Joseph J. Biernacki,et al.  The origins and evolution of cement hydration models , 2011 .