Skip to main content
Log in

Equivalent Convective Heat Transfer Coefficient for Boundary Conditions in Temperature Prediction of Early-Age Concrete Elements Using FD and PSO

  • Structural Engineering
  • Published:
KSCE Journal of Civil Engineering Aims and scope

Abstract

Engineering infrastructure includes a large number of concrete structures. The main binder used in concrete is Portland cement, which reacts with water when mixing. During the chemical reaction (cement hydration) heat is released causing non-uniform temperature distribution and subsequent internal stresses that may crack the concrete. Therefore, accurate prediction of concrete temperature evolution in design and control of concrete temperature in construction are crucial tasks for engineers. This paper presents the development of a finite difference (FD) model for predicting thermal behavior of concrete structures during cement hydration. A formwork or insulation layer that covers the outer of the concrete was accounted for in the model. The temperature profiles calculated by the proposed model show close agreement with those measured from a concrete bridge footing and a concrete cube. The Particle Swarm Optimization (PSO) algorithm was adopted to compute an “equivalent convection coefficient” for the convection boundary condition in the simplified model for several common insulation materials. The results show that using the simplified model along with an equivalent convection coefficient can give a significant reduction in the computation time while the accuracy is still maintained. In addition, an equation for estimating an equivalent convection coefficient for a given insulation material was developed for design and practical purposes. The proposed method can be used in the design of concrete structures and control of concrete temperature to prevent early-age thermal cracking thus ensuring the expected durability and service life. From the obtained results, varying equivalent convection values are also recommended to be used for different insulation materials.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • ACI 207.1R-05 (2005) Guide to mass concrete. American Concrete Institute, Farmington Hills, MI, USA

    Google Scholar 

  • ASTM C1679-08 (2008) Standard practice for measuring hydration kinetics of hydraulic cementitious mixtures using isothermal calorimetry. American Society for Testing Materials, West Conshohocken, Pennsylvania

    Google Scholar 

  • ASTM C1702-09a (2009) Standard test method for measurement of heat of hydration of hydraulic cementitious materials using isothermal conduction calorimetry. American Society for Testing Materials, West Conshohocken, Pennsylvania

    Google Scholar 

  • Ballim Y (2004) A numerical model and associated calorimeter for predicting temperature profiles in mass concrete. Cement and Concrete Composites 26(6):695–703, DOI: https://doi.org/10.1016/S0958-9465(03)00093-3

    Article  Google Scholar 

  • Bombich AA, Garner S, Norman CD (1991) Evaluation of parameters affecting thermal stresses in mass concrete. Concrete Technology Information Analysis Center Vicksburg MS

    Google Scholar 

  • Branco FA, Mendes P, Mirambell E (1992) Heat of hydration effects in concrete structures. Materials Journal 89(2):139–145

    Google Scholar 

  • Cengel Y (2014) Heat and mass transfer: Fundamentals and applications. McGraw-Hill Higher Education

  • Chen HLR, Mardmomen S, Leon G (2020) On-site measurement of heat of hydration of delivered mass concrete. Construction and Building Materials 121246, DOI: https://doi.org/10.1016/j.conbuildmat.2020.121246

  • Do TA (2014) Influence of footing dimensions on early-age temperature development and cracking in concrete footings. Journal of Bridge Engineering 20(3):06014007, DOI: https://doi.org/10.1061/(ASCE)BE.1943-5592.0000690

    Article  MathSciNet  Google Scholar 

  • Do TA, Chen H, Leon G, Nguyen T (2019) A combined finite difference and finite element model for temperature and stress predictions of cast-in-place cap beam on precast columns. Construction and Building Materials 217:172–184, DOI: https://doi.org/10.1016/j.conbuildmat.2019.05.019

    Article  Google Scholar 

  • Do TA, Lawrence A, Tia M, Bergin M (2013) Importance of insulation at the bottom of mass concrete placed on soil with high groundwater. Transportation Research Record: Journal of the Transportation Research Board 2342:113–120, DOI: https://doi.org/10.3141/2342-14

    Article  Google Scholar 

  • Do TA, Lawrence A, Tia M, Bergin M (2014a) Determination of required insulation for preventing early-age cracking in mass concrete footings. Transportation Research Record: Journal of the Transportation Research Board 2441:91–97, DOI: https://doi.org/10.3141/2441-12

    Article  Google Scholar 

  • Do TA, Lawrence AM, Tia M, Bergin MJ (2014b) Effects of thermal conductivity of soil on temperature development and cracking in mass concrete footings. Journal of Testing and Evaluation 43(5):1078–1090, DOI: https://doi.org/10.1520/JTE20140026

    Google Scholar 

  • Do TA, Minh LH, Thac NQ, Duc TT, Quoc TT (2020) Evaluation of methods for analyzing early-age cracking risk in concrete walls of tunnel structures. Transport and Communications Science Journal DOI: https://doi.org/10.47869/tcsj.71.7.2

  • Do TA, Tia M, Nguyen TH, Hoang TT, Tran TD (2022) Assessment of temperature evolution and early-age thermal cracking risk in segmental high-strength concrete box girder diaphragms. KSCE Journal of Civil Engineering 26(1):166–182, DOI: https://doi.org/10.1007/s12205-021-2148-5

    Article  Google Scholar 

  • Do TA, Verdugo D, Tia M, Hoang TT (2021) Effect of volume-to-surface area ratio and heat of hydration on early-age thermal behavior of precast concrete segmental box girders. Case Studies in Thermal Engineering 28:101448, DOI: https://doi.org/10.1016/j.csite.2021.101448

    Article  Google Scholar 

  • Eberhart R, Kennedy J (1995) A new optimizer using particle swarm theory. MHS’95. Proceedings of the Sixth International Symposium on Micro Machine and Human Science, Ieee

  • Hansen PF, Pedersen E (1984) Curing of concrete structures, BKI

  • Hansen PF, Pedersen EJ (1977) Maturity computer for controlled curing and hardening of concrete

  • KCI (2003) Standard specification for concrete. Korea Concrete Institute, Seoul, Korea

    Google Scholar 

  • Khatir S, Dekemele K, Loccufier M, Khatir T, Wahab MA (2018) Crack identification method in beam-like structures using changes in experimentally measured frequencies and Particle Swarm Optimization. Comptes Rendus Mécanique 346(2):110–120, DOI: https://doi.org/10.1016/j.crme.2017.11.008

    Article  Google Scholar 

  • Kim SG (2010) Effect of heat generation from cement hydration on mass concrete placement. Master of Science Iowa State University

  • Lawrence AM, Tia M, Ferraro CC, Bergin M (2011) Effect of early age strength on cracking in mass concrete containing different supplementary cementitious materials: Experimental and finite-element investigation. Journal of Materials in Civil Engineering 24(4):362–372, DOI: https://doi.org/10.1061/(ASCE)MT.1943-5533.0000389

    Article  Google Scholar 

  • Lee Y, Choi MS, Yi ST, Kim JK (2009) Experimental study on the convective heat transfer coefficient of early-age concrete. Cement and Concrete Composites 31(1):60–71, DOI: https://doi.org/10.1016/j.cemconcomp.2008.09.009

    Article  Google Scholar 

  • Lin Y, Chen HL (2015) Thermal analysis and adiabatic calorimetry for early-age concrete members. Journal of Thermal Analysis and Calorimetry 122(2):937–945, DOI: https://doi.org/10.1007/s10973-015-4843-2

    Article  Google Scholar 

  • Lin Y, Chen HL (2016) Thermal analysis and adiabatic calorimetry for early-age concrete members. Journal of Thermal Analysis and Calorimetry 124(1):227–239, DOI: https://doi.org/10.1007/s10973-015-5131-x

    Article  Google Scholar 

  • Mostafa N, Brown P (2005) Heat of hydration of high reactive pozzolans in blended cements: Isothermal conduction calorimetry. Thermochimica Acta 435(2):162–167

    Article  Google Scholar 

  • Nguyen CT, Do TA, Hoang TT, Tran TD (2021) Evaluation of early-age cracking risk In mass concrete footings under different placement conditions. Revista Ingeniería de Construcción 36(1):05–13, DOI: https://doi.org/10.4067/S0718-50732021000100005

    Article  Google Scholar 

  • Ozawa S (1962) Study on the early age cracking of massive concrete and its prevention measure. Water Power for Electric Generation 57:254–261

    Google Scholar 

  • Poole JL (2007) Modeling temperature sensitivity and heat evolution of concrete. The University of Texas at Austin

  • Rastrup E (1954) Heat of hydration in concrete. Magazine of Concrete Research 6(17):79–92

    Article  Google Scholar 

  • Riding KA (2007) Early age concrete thermal stress measurement and modeling

  • Riding KA, Poole JL, Folliard KJ, Juenger MC, Schindler AK (2012) Modeling hydration of cementitious systems. ACI Materials Journal 109(2):225–234

    Google Scholar 

  • Schindler AK, Folliard KJ (2005) Heat of hydration models for cementitious materials. ACI Materials Journal 102(1):24

    Google Scholar 

  • Shabbir F, Omenzetter P (2015) Particle swarm optimization with sequential niche technique for dynamic finite element model updating. Computer-Aided Civil and Infrastructure Engineering 30(5):359–375, DOI: https://doi.org/10.1111/mice.12100

    Article  Google Scholar 

  • Shao L, Bai Y, Qiu Y, Du Z (2012) Particle swarm optimization algorithm based on semantic relations and its engineering applications. Systems Engineering Procedia 5:222–227, DOI: https://doi.org/10.1016/j.sepro.2012.04.035

    Article  Google Scholar 

  • Tao C, Watts B, Ferraro CC, Masters FJ (2019) A multivariate computational framework to characterize and rate virtual Portland cements. Computer-Aided Civil and Infrastructure Engineering 34(3):266–278, DOI: https://doi.org/10.1111/mice.12413

    Article  Google Scholar 

  • Tran-Ngoc H, Khatir S, De Roeck G, Bui-Tien T, Nguyen-Ngoc L, Abdel Wahab M (2018) Model Updating for Nam O Bridge Using Particle Swarm Optimization Algorithm and Genetic Algorithm. Sensors 18, DOI: https://doi.org/10.3390/s18124131

  • Waller V, d’Aloïa L, Cussigh F, Lecrux S (2004) Using the maturity method in concrete cracking control at early ages. Cement and Concrete Composites 26(5):589–599, DOI: https://doi.org/10.1016/S0958-9465(03)00080-5

    Article  Google Scholar 

  • Wei Z, Liu J, Lu Z (2018) Structural damage detection using improved particle swarm optimization. Inverse Problems in Science and Engineering 26(6):792–810, DOI: https://doi.org/10.1080/17415977.2017.1347168

    Article  MathSciNet  MATH  Google Scholar 

  • Wu Q, Cole C, McSweeney T (2016) Applications of particle swarm optimization in the railway domain. International Journal of Rail Transportation 4(3):167–190, DOI: https://doi.org/10.1080/23248378.2016.1179599

    Article  Google Scholar 

  • Yamagawa, Kasagi, Gobayashi (1982) Investigation of an experimental method for thermal convective coefficient of massive concrete. Proceedings of Japan Society of Civil Engineers

  • Yikici TA, Chen HL (2015) Numerical prediction model for temperature development in mass concrete structures. Transportation Research Record: Journal of the Transportation Research Board 2508:102–110, DOI: https://doi.org/10.3141/2508-13

    Article  Google Scholar 

Download references

Acknowledgments

This research is funded by the University of Transport and Communications (UTC) under grant number T2021-CT-006TÐ.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Viet Hai Hoang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Nguyen-Ngoc, L., Do, T.A., Hoang, V.H. et al. Equivalent Convective Heat Transfer Coefficient for Boundary Conditions in Temperature Prediction of Early-Age Concrete Elements Using FD and PSO. KSCE J Civ Eng 27, 2546–2558 (2023). https://doi.org/10.1007/s12205-023-1116-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12205-023-1116-7

Keywords

Navigation