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Numerical modeling of the coupled feedback between pool fires and their environment

Wahlqvist, Jonathan LU (2018)
Abstract
Computational fluid dynamics (CFD) is often used within performance based fire safety engineering and its use has increased as available computational power has increased. However, there is still a need to improve CFD modeling to push it beyond its current usage limitations. Of course such steps must be accompanied by quality assurance by means of validation and verification. In this thesis three key problems were identified within performance based design; prediction of the mass loss rate that interact with the environment dynamically, understanding of fires in enclosures equipped with mechanical ventilation as well as taking the built environment, such as building materials, building geometry and various technical installations, into... (More)
Computational fluid dynamics (CFD) is often used within performance based fire safety engineering and its use has increased as available computational power has increased. However, there is still a need to improve CFD modeling to push it beyond its current usage limitations. Of course such steps must be accompanied by quality assurance by means of validation and verification. In this thesis three key problems were identified within performance based design; prediction of the mass loss rate that interact with the environment dynamically, understanding of fires in enclosures equipped with mechanical ventilation as well as taking the built environment, such as building materials, building geometry and various technical installations, into account when designing a fire scenario. In the presented work Fire Dynamics Simulator (FDS) was chosen as a modeling framework which could be expanded upon if needed to be able to perform predictions of the presented problems. A validation of FDS was done against experimental data obtained using the novel, non-intrusive technique ps-LIDAR. The built in HVAC (heating, ventilation, and air conditioning) model in FDS was validated against a series of full-scale fires using mechanical ventilation. A new pool fire sub-model, which takes reduction in oxygen concentration and external radiative heat flux into account when predicating the mass loss rate, was formulated, implemented in FDS and then verified and validated. The verified and validated models and sub-models were applied on two engineering problems; predicting fire growth related to building characteristics and predicting performance of measures against smoke spread in ventilation systems. (Less)
Please use this url to cite or link to this publication:
author
supervisor
opponent
  • Professor Boulet, Pascal, Université de Lorraine, France
organization
publishing date
type
Thesis
publication status
published
subject
publisher
Division of Fire Safety Engineering, Lund University
defense location
V:D, V-building, John Ericssons väg 1, Lund University, Faculty of Engineering LTH.
defense date
2018-06-15 13:00
ISBN
978-91-7753-679-6
978-91-7753-680-2
language
English
LU publication?
yes
id
adb50770-9636-4850-ad49-3bf743b1fab7
date added to LUP
2018-05-21 12:36:13
date last changed
2018-11-21 21:39:54
@phdthesis{adb50770-9636-4850-ad49-3bf743b1fab7,
  abstract     = {Computational fluid dynamics (CFD) is often used within performance based fire safety engineering and its use has increased as available computational power has increased. However, there is still a need to improve CFD modeling to push it beyond its current usage limitations. Of course such steps must be accompanied by quality assurance by means of validation and verification. In this thesis three key problems were identified within performance based design; prediction of the mass loss rate that interact with the environment dynamically, understanding of fires in enclosures equipped with mechanical ventilation as well as taking the built environment, such as building materials, building geometry and various technical installations, into account when designing a fire scenario. In the presented work Fire Dynamics Simulator (FDS) was chosen as a modeling framework which could be expanded upon if needed to be able to perform predictions of the presented problems. A validation of FDS was done against experimental data obtained using the novel, non-intrusive technique ps-LIDAR. The built in HVAC (heating, ventilation, and air conditioning) model in FDS was validated against a series of full-scale fires using mechanical ventilation. A new pool fire sub-model, which takes reduction in oxygen concentration and external radiative heat flux into account when predicating the mass loss rate, was formulated, implemented in FDS and then verified and validated. The verified and validated models and sub-models were applied on two engineering problems; predicting fire growth related to building characteristics and predicting performance of measures against smoke spread in ventilation systems.},
  author       = {Wahlqvist, Jonathan},
  isbn         = {978-91-7753-679-6},
  language     = {eng},
  publisher    = { Division of Fire Safety Engineering, Lund University},
  school       = {Lund University},
  title        = {Numerical modeling of the coupled feedback between pool fires and their environment},
  year         = {2018},
}