Thermal effect of mass concrete structures in the tropics: Experimental, modelling and parametric studies

Abeka, Herbert; Agyeman, Stephen; Adom-Asamoah, Mark

doi:10.1080/23311916.2016.1278297

Cited by 13 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model parameters were calibrated by adopting definite values based on consideration of the material properties and the local conditions that affect the experimental procedures. Thermal conductivity values for normal weight concrete ranges from 7.1 to 10.6 KJ/mh 0 C and specific heat capacity ranges from 0.92 to 1.0 KJ/Kg 0 C according to ACI committee 207, 2005b in [11]. Values of 9 KJ/mh 0 C and 0.92 KJ/Kg 0 C were respectively adopted for thermal conductivity and specific heat capacity.…”

Section: Calibrationmentioning

confidence: 99%

“…The density of fresh normal weight concrete is 2400Kg/m 3 . For heat intensity, suzuki's model in [11] was adopted in which 𝑞 = 20,000 𝑒 −0.9398− 𝑡 24 (12) Average ambient temperature (Ta) of 30 0 C and room temperature value of 26 0 C were used for the model verification and validation respectively. Initial temperature (T0) is 28 0 C.…”

Section: Calibrationmentioning

confidence: 99%

See 1 more Smart Citation

Modeling temperature profile in mass concrete at early ages of cement hydration

Chidiebere

Onyebuchi

2021

IJET

View full text Add to dashboard Cite

Thermally induced cracks due to temperature gradient in mass concrete have adverse effects on its durability and service life. Heat released during the hydration of Portland cement in early age mass concrete can be quite excessive depending on the ambient temperature, cement content of the concrete mix and the size. Finite difference model using Crank Nicholson implicit method was developed based on the two dimensional unsteady state heat conduction. Optimized MATLAB based software was developed for simulation and data visualization. A mass concrete block cast with standard mix ratio and water cement ratio was used to verify the efficacy of the model. Type-K thermocouple and digital thermometer were used to monitor the temperature at time intervals. The temperature profile showed a hotter core and cooler surface except for the initial placement temperature, which exhibited a uniform temperature for all thermocouple locations. Peak temperature values were recorded within the first day of concrete placement. The model successfully predicted the temperature profile of the mass concrete at early ages of cement hydration. With the knowledge of the ambient temperature and the configuration of the mass concrete, the model can reliably predict the temperature profile from which potential for thermal cracks occurrence can be determined to enable suitable proactive preventive and control measures.

show abstract

Section: Calibrationmentioning

confidence: 99%

Section: Calibrationmentioning

confidence: 99%

Modeling temperature profile in mass concrete at early ages of cement hydration

Chidiebere

Onyebuchi

2021

IJET

View full text Add to dashboard Cite

show abstract

“…Havlásek et al (2017) proposed a weakly-coupled thermomechanical model for early-age concrete with an affinity-based hydration model for the thermal part, taking into account concrete mix design, cement type, and thermal boundary conditions. Abeka et al (2017) performed experimental and numerical investigations of thermal effects on mass concrete structures in the tropics. Długosz et al (2017) presented evolutionary computation procedures to identify thermophysical properties in hardening mass cast-in-situ reinforcedconcrete structures Fairbairn et al (2004) used genetic algorithms for the optimization of mass castin-situ structures.…”

Section: Introductionmentioning

confidence: 99%

Modeling Non-Stationary Temperature Fields When Constructing Mass Cast-in-Situ Reinforced-Concrete Foundation Slabs

Чепурненко

Nesvetaev²,

Koryanova³

2022

AEJ

View full text Add to dashboard Cite

Introduction: Due to hydration heating and heat exchange with the environment during hardening, mass cast-in-situ reinforced-concrete structures exhibit non-uniform heating, which can result in early cracking and make the structures unsuitable for further use. One of the main risk factors for early cracking is the temperature difference between the center and the surface of the structure. Purpose of the study: We aimed to study how such factors as the ratio of dimensions, heat transfer conditions on the surfaces, concrete recipe, pauses during concreting and their duration affect the maximum temperature difference between the center and the surface of the structure. Methods: In the course of the study, we applied finite element modeling in one-dimensional and three-dimensional cases using the software in the MATLAB environment that we developed earlier. Results: We established that the most significant risk factors for early cracking are heat exchange conditions on the top surface, structural thickness, and the heat release rate of concrete. Verification and validation of the model were performed based on experimental data and by comparing it with a numerical solution in the ANSYS software.

show abstract

“…Necessary temperature control of mass concrete is one of the key means to ensure the quality of mass concrete pouring, such as controlling temperature changes during constructions to avoid large temperature changes or large temperature gradients during concrete construction [7]- [11]. Predicting the temperature in the process of concrete pouring, predicting the changing process of concrete temperature in advance, and taking corresponding temperature control measures can ensure the construction quality of mass concrete [12], [13].…”

Section: Introductionmentioning

confidence: 99%

Research on CART Model of Mass Concrete Temperature Prediction Based on Big Data Processing Technology

Li²,

Wang³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

Due to the influence of temperature changes or temperature gradients in the construction process of mass concrete, temperature cracks will occur in the concrete. In order to achieve a reasonable prediction of the temperature change of the mass concrete during the construction process and accurately obtain the temperature change trend, this paper attempts to construct a CART prediction model based on the big data processing technology based on the characteristics of the temperature change of the mass concrete. This paper introduces in detail how to use data processing methods such as outlier identification, missing value filling and random error elimination to improve data quality, as well as the method for constructing the CART prediction model, and combines engineering examples to demonstrate the feasibility of the model method. The results show that the model and method can better predict the temperature change of mass concrete. It has high prediction accuracy and can provide necessary guidance for practical engineering.INDEX TERMS Mass concrete temperature, big data processing technology, CART prediction model.

show abstract

Thermal effect of mass concrete structures in the tropics: Experimental, modelling and parametric studies

Cited by 13 publications

References 28 publications

Modeling temperature profile in mass concrete at early ages of cement hydration

Modeling temperature profile in mass concrete at early ages of cement hydration

Modeling Non-Stationary Temperature Fields When Constructing Mass Cast-in-Situ Reinforced-Concrete Foundation Slabs

Research on CART Model of Mass Concrete Temperature Prediction Based on Big Data Processing Technology

Contact Info

Product

Resources

About