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Inversion for Fire Heat Release Rate Using Transient Heat Flux Data

[+] Author Affiliations
Andrew Kurzawski, Ofodike A. Ezekoye

University of Texas at Austin, Austin, TX

Paper No. HT2017-5107, pp. V001T05A003; 8 pages
  • ASME 2017 Heat Transfer Summer Conference
  • Volume 1: Aerospace Heat Transfer; Computational Heat Transfer; Education; Environmental Heat Transfer; Fire and Combustion Systems; Gas Turbine Heat Transfer; Heat Transfer in Electronic Equipment; Heat Transfer in Energy Systems
  • Bellevue, Washington, USA, July 9–12, 2017
  • Conference Sponsors: Heat Transfer Division
  • ISBN: 978-0-7918-5788-5
  • Copyright © 2017 by ASME


The heat-release rate (HRR) of a burning item is key to understanding the thermal effects of a fire on its surroundings. It is, perhaps, the most important variable used to characterize a burning fuel packet and is defined as the rate of energy released by the fire. HRR is typically determined using a gas measurement calorimetry method. In this study, an inversion algorithm is presented for conducting calorimeter on fires with unknown HRRs located in a compartment. The algorithm compares predictions of a forward model with observed heat fluxes from synthetically generated data sets to determine the HRR that minimizes a cost function. The effects of tuning a weighting parameter in the cost function and the issues associated with two different forward models of a compartment fire are examined.

Copyright © 2017 by ASME



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