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Heat and Mass Transfer Model for Fire-Exposed Concrete — Part B: Validation of Mass Loss and Temperature Predictions

  • Christian Riitamaa*
  • , Simo Hostikka
  • , Frank Markert
  • , Bjarne P. Husted
  • , Abhishek Bhargava
  • , Nitin Patil
  • , Kaiyuan Li
  • , Xujuan Wu
  • , Xi Deng
  • *Corresponding author for this work
  • Aalto University
  • DBI - The Danish Institute of Fire and Security Technology
  • Wuhan University of Technology

Research output: Contribution to journal › Journal article › Research › peer-review

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Abstract

Explosive spalling of concrete is an essential phenomenon to be accounted for when analyzing the fire performance of concrete structures. Existing tools of fire simulation can provide the fire exposure on concrete surface, and to some extent, conjugate heat transfer too, but new tools are needed for modelling the concrete high-temperature reactions coupled with heat and mass transfer. In this second part of the two-part article, we characterize two concrete mixtures regarding their high-temperature reactions using TGA and DSC experiments and measure their porosities, permeabilities, and thermal conductivities. We measure sample temperatures and mass loss under radiative heating in two different scales and at two different moisture levels. The experimental data is then used to validate the numerical model with a kinetics-driven evaporation rate. The model predicts mass loss with mean absolute percentage error (MAPE) typically 0.3 % and 1.9 % in the worst case. For temperature increase, typical MAPE 15 % and maximum MAPE 25 %. The model bias and relative standard deviation are +8.4 % and 3.7 % for mass loss, and +5.0 % and 4.4 % for temperature. We then introduce an improved version of the model with pressure-constrained evaporation rate. The model improves the pore pressure predictions, but maintaining the accuracy of mass loss and temperature predictions would require re-calibration of the kinetic parameters. A sensitivity study is used to identify future topics of model improvement and data gathering.
Original languageEnglish
Article number127
JournalInternational Journal of Concrete Structures and Materials
Volume19
Number of pages23
ISSN2234-1315
DOIs
Publication statusPublished - 2025

Keywords

  • Concrete spalling
  • Fire resistance
  • Numerical methods
  • Multiphysics

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