Identification of thermal properties of hardening concrete by means of evolutionary algorithms

  • Adam Długosz Silesian University of Technology
  • Iwona Pokorska Czestochowa University of Technology
  • Michał A. Glinicki Institute of Fundamental Technological Research
  • Roman Jaskulski Warsaw University of Technology

Abstract

In this paper, the evolutionary computation procedures for identifying thermophysical properties in hardening massive concrete structures are presented. The heat of cement hydration, thermal conductivity and specific heat are determined for the purpose of modeling temperature evolution in massive concrete elements. Knowledge about temperature fields is very important due to their link with undesirable thermal stresses that can cause a weakening of structures because of thermal cracking. The proposed method is based on point temperature measurements in a cylindrical mould and the numerical solution of the inverse heat transfer problem by means of the finite element method and evolutionary computation.

Keywords

thermal properties of concrete, inverse heat transfer problem, early age concrete, evolutionary algorithm, FEM,

References

[1] P. Bamonte, P.G. Gambarova. Properties of concrete required in nuclear power plants. In: T.T.C. Hsu, C.-L. Wu, J.-L. Lin [Eds.], Infrastructure Systems for Nuclear Energy, pp. 409–438. John Wiley & Sons, Hoboken, NJ, 2014.
[2] T. Baran, M.A. Glinicki, D. Jóźwiak-Niedźwiedzka. The properties of special cements for shielding constructions in nuclear power plants [in Polish: Właściwości cementów specjalnych przeznaczonych do betonu w konstrukcjach osłonowych elektrowni jądrowych]. Cement-Wapno-Beton, ISSN: 1425-8129, 21(4): 207–216, 2016.
[3] A. Długosz, T. Burczyński. Intelligent computing in optimization of coupled problems. In: Proceedings of Computational Methods for Coupled Problems in Science and Engineering V, Pages: 387–398, pp. 86–93, 2013.
[4] A. Długosz, T. Burczyński. Identification in multiscale thermoelastic problems. Computer Assisted Methods in Engineering and Science, 20(4): 325–336, 2013.
[5] M.A. Glinicki, R. Jaskulski, M. Dąbrowski, Z. Ranachowski. Determination of thermal properties of hardening concrete for massive nuclear shielding structures. SCMT4, 4th International Conference on Sustainable Construction Materials and Technologies, pp. 1–9, 2016.
[6] J. Jonasson, P. Groth, H. Hedlund. Modeling of temperature and moisture field in concrete to study early age movements as a basis for stress analysis. In: Proceedings of International Symposium Thermal Cracking in Concrete at Early Ages, pp. 45–52, RILEM, Munich, 1994.
[7] G. Knor, M.A. Glinicki, J. Holnicki-Szulc. Determination of thermal parameters of hardening concrete by means of inverse problem solution, Roads and Bridges – Drogi i Mosty, 11(4): 281–294, 2012.
[8] K.E. Kurtis, Y. Xi, M.A. Glinicki, J. Provis, E. Giannini, T. Fu. Can we design concrete to survive nuclear environments? Concrete International, 39: 53–59, 2017.
[9] A. Lawrence, M. Tia, C.C. Ferraro, M. Bergin. Effect of early age strength on cracking in mass concrete containing different supplementary cementitious materials: Experimental and FE investigation. Journal of Materials in Civil Engineering, 24(4): 362–372, 2012.
[10] Z. Michalewicz. Genetic Algorithms + Data Structures = Evolutionary Programs. Springer-Verlag, Berlin, 1992.
[11] Z. Michalewicz, D.B. Fogel. How to Solve It: Modern Heuristics, 2nd edition, Springer-Verlag, 2004.
[12] A. Nagy. Simulation of thermal stress in reinforced concrete at early ages with a simplified model. Materials and Structures, 30(3): 167–173, 1997.
[13] O.C. Zienkiewicz, R.L. Taylor. The Finite Element Method, Vol. 1–3. Elsevier, 6th edition, Oxford, United Kingdom, 2005.
Published
Dec 22, 2017
How to Cite
DŁUGOSZ, Adam et al. Identification of thermal properties of hardening concrete by means of evolutionary algorithms. Computer Assisted Methods in Engineering and Science, [S.l.], v. 24, n. 2, p. 101–111, dec. 2017. ISSN 2956-5839. Available at: <https://cames.ippt.gov.pl/index.php/cames/article/view/208>. Date accessed: 13 nov. 2024. doi: http://dx.doi.org/10.24423/cames.208.
Section
Articles