Fire Dynamic Sumulation

  • Upload
    kamek80

  • View
    215

  • Download
    0

Embed Size (px)

Citation preview

  • 8/3/2019 Fire Dynamic Sumulation

    1/24

    International Journal on Engineering Performance-Based Fire Codes, Volume 9, Number 1, p.7-30, 2007

    7

    FURTHER VALIDATION OF FIRE DYNAMICS SIMULATOR USING

    SMOKE MANAGEMENT STUDIES

    P. Coyle and V. NovozhilovThe Institute for Fire Safety Engineering Research and Technology, Faculty of Engineering

    University of Ulster, United Kingdom

    (Received 7 July 2006; Accepted 13 December 2006)

    ABSTRACT

    Further validation of Fire Dynamics Simulator (FDS) developed by NIST (USA) is performed using four smoke

    filling scenarios reported in the literature. Careful comparison is made to experimental data available for those

    scenarios.

    Performance of the code was found to vary considerably with complexity of scenario (e.g. geometry). While

    giving very reasonable results for a number of cases, average deviation from experimental values in smoke-

    filling rates and temperature predictions were above limits claimed by developers.

    The study emphasizes need for further development and extensive validation of CFD codes used by fire

    engineering practitioners.

    1. INTRODUCTION

    Fire Dynamics Simulator is an increasingly popular

    CFD model choice for fire engineers and academia

    researchers[e.g. 1,2]. The code has been developed

    at the National Institute of Standards and

    Technology, USA.

    The underlying motivation for the present study is

    assessment of accuracy of currently available

    computer models for the purpose of their

    integration into Engineering Performance-Based

    Fire Codes (EPBFC). The importance of ongoing

    validation and standardization work in fire-related

    CFD is well recognised [3].

    The most interesting property of the FDS code is

    that it uses Large Eddy Simulation (LES) approach,

    as opposed to many other (primarily commercial)

    codes used by fire safety consultants. The latter use

    Reynolds-averaged (RANS) governing equations.Use of LES is still a hot topic in CFD community,

    and many important fundamental issues related to

    this approach are not completely resolved. As

    examples, one could point out to importance of

    different filtering procedures, influence of mesh

    refinement on solution, etc. Since this innovative

    technology is penetrating into practical design, it isimportant that practitioners in the area are kept

    informed of possible limitations and shortcomings

    of the methods. It should be kept in mind that many

    of those using modern CFD software may not have

    sufficient background in CFD or combustion

    fundamentals, therefore they need be warned ofpotential misuse of computational tools.

    The objective of the present study is to validate the

    FDS code further using a number of well-

    documented scenarios for comparison.

    Fire Dynamics Simulator (FDS) Version 4.0.5 [4]

    is used for the study.

    2. RESULTS AND DISCUSSION

    This section is segmented into four sub-sections,

    namely scenarios A, B, C and D, which correspond

    respectively to each selected physical experiment

    under investigation.

    For comparison with the experiments, some

    technical features of FDS 4.0.5 should be noted.

    The first one refers to smoke layer thickness

    calculation in FDS. Relatively simple zone models

    compute this quantity directly, along with theaverage temperature of the upper and lower layers.

    In a computational fluid dynamics (CFD) model

    like FDS, there are generally no distinct zones, but

    rather a continuous profile of temperature.

    Nevertheless, the methods can be developed to

    estimate layer height and average temperatures

    from a continuous vertical profile of temperature.

    The method employed by FDS is as follows.

    Consider a continuous function T(z) defining

    temperature T as a function of height above the

    floor z, where z = 0 is the floor and z = H is the

    ceiling. Define Tuas the upper layer temperature, Tlas the lower layer temperature, and zint as the

  • 8/3/2019 Fire Dynamic Sumulation

    2/24

  • 8/3/2019 Fire Dynamic Sumulation

    3/24

  • 8/3/2019 Fire Dynamic Sumulation

    4/24

    International Journal on Engineering Performance-Based Fire Codes

    10

    Converge

    speed[s-1]

    1.64

    0.39

    0.6

    0.25

    0.39

    0.24

    0.14

    0.14

    0.15

    Fireresolve.

    (Dx)/(x)

    1.45

    2.04

    2.18

    3.05

    2.18

    2.85

    3.05

    3.05

    6.12

    Output

    Q*[-]

    (0.1