Numerical simulation of heat and mass transport during hydration of Portland cement mortar in semi-adiabatic and steam curing conditions

Hernández-Bautista, E.; Bentz, Dale P.; Sandoval-Torres, Sadoth; Cano-Barrita, P. F. de J.

doi:10.1016/j.cemconcomp.2015.10.014

Cited by 43 publications

(16 citation statements)

References 21 publications

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“…The components of the specific system of equations solved in the current study are shown in Table 3. The model consists of two ordinary differential equations that describe the equivalent time and the degree of maturity of the material (Equations 2 and 3) [11,16]. The maturity equation (Equation 3), is obtained by derivation using the chain rule; the divergence term is zero.…”

Section: Hydration Modelmentioning

confidence: 99%

“…In order to predict these phenomena and determine curing conditions and mixture proportions that would avoid or minimize cracking, the aim of this work is to numerically simulate the moisture content, temperature, and degree of hydration during steam curing at atmospheric pressure of mortar specimens and in an AASHTO type VI beam with w/c of 0.30 and 0.45. The model previously developed by Hernández-Bautista et al [11,12] is used as the basis and compared to experimental results obtained from nuclear magnetic resonance/magnetic resonance imaging (NMR), loss on ignition (LOI), and Fourier Transform Infrared (FTIR) spectroscopy tests.…”

Section: Introductionmentioning

confidence: 99%

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Modeling heat and moisture transport in steam-cured mortar: Application to AASHTO Type VI beams

Hernández-Bautista

Sandoval-Torres

Cano-Barrita

et al. 2017

Construction and Building Materials

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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 temperature differences (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.

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Section: Hydration Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling heat and moisture transport in steam-cured mortar: Application to AASHTO Type VI beams

Hernández-Bautista

Sandoval-Torres

Cano-Barrita

et al. 2017

Construction and Building Materials

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“…Theoretical studies on the heat of hydration of mass concrete began in the 1930s with the construction of the Hoover Dam in the United States. After nearly a century of development, many studies have been conducted on the thermal cracks control regarding cement type [7], concrete type [8]- [10], curing methods [11], mixing ratios [12], and admixtures [13], etc. on the heat of hydration of concrete [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Hydration Heat of Mass Concrete Based on the SVR Model

et al. 2021

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Thermal cracking in pile caps caused by concrete hydration heat will affect the safety and durability of long-span cable-stayed bridges. Therefore, effective prediction and control of concrete bridges hydration heat has been a challenging problem. In this study, the temperature of hydration heat in mass concrete pile caps belonging to a long-span cable-stayed bridge in China were monitored. Then, we adopt support vector machine regression (SVR) to establish the correlation between influencing variables and the temperature of hydration heat. The monitoring data are used to train to realize the short-term prediction of concrete temperature. The predicted results show that the SVR has a high accuracy, and the deviation between the prediction results and the measured values is quite small. The prediction performance of SVR for temperature of hydration heat of mass concrete is obviously better than that of BP neural network. The SVR prediction model can predict the temperature of 2-3 days with high accuracy. Based on the prediction results, temperature control method can be taken in advance to reduce the possibility of thermal cracks, which is of great significance for the safety and durability of actual engineering construction.INDEX TERMS Mass concrete, heat of hydration, support vector machine, regression model, temperature prediction.

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“…In the study, a WUFI 6.0 simulation model was employed, which did not consider the effect of self-desiccation and which has significant influence on the initial relative humidity level in concrete panels with relatively low w / b < 0.5. We are studying moisture behavior of the concrete structure including concrete hydration and the effect of hydration process on diffusivity in a simulation model based on previous studies (Di Luzio and Cusatis, 2009; Hernandez-Bautista et al, 2016; Sekki and Karvinen, 2017). The aim of this study is to evaluate relative humidity distribution in the concrete panel wall with different external thermal insulation materials and interior finishing materials by simulation based on practical schedule and climate conditions of the building site.…”

Section: Introductionmentioning

confidence: 99%

Moisture behavior of external insulated precast concrete wall panels

Sekki

Karvinen

Vinha

2020

Journal of Building Physics

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Excess moisture in concrete structures is a major problem in building industry. It is claimed that degradation of the finishing materials of concrete slabs is the largest source of volatile organic compound in the building stock in the Nordic countries. Considering concrete wall panels, the choice of the insulation material influences concrete drying considerably and causes a risk for moisture accumulation on the interior surface, if vapor tight finishing materials are used or if finishing materials are installed prematurely. Mineral wool insulation, which has predominately been used in Finland, is a vapor open material. However, vapor tight plastic foam insulation materials are nowadays more commonplace. Here we show that the overall rate of drying of the concrete panel with a vapor open insulation material is higher in comparison to the concrete panel with vapor tight insulation materials. However, relative humidity distribution near the inner surface of the concrete panel at the end of the drying phase is almost identical irrespective of the insulation material and the water vapor resistance of the interior surface material has a greater impact on the relative humidity level on the inner concrete surface. Moisture behavior of concrete panel walls is studied under a certain building schedule in Finnish environment and building conditions by numerical simulation. The model for drying of concrete is calibrated based on laboratory measurements. According to our study, self-desiccation and changing diffusivity due to the hydration process of the concrete cannot be ignored when evaluating the moisture behavior of the concrete wall panel structure with a low water binder ratio ( w/ b < 0.5). Measurements indicate that the early age humidity drop is by up to 10 percentage points.

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Numerical simulation of heat and mass transport during hydration of Portland cement mortar in semi-adiabatic and steam curing conditions

Cited by 43 publications

References 21 publications

Modeling heat and moisture transport in steam-cured mortar: Application to AASHTO Type VI beams

Modeling heat and moisture transport in steam-cured mortar: Application to AASHTO Type VI beams

Prediction of Hydration Heat of Mass Concrete Based on the SVR Model

Moisture behavior of external insulated precast concrete wall panels

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