Published August 2009 | Version v1
Journal article

Investigating the effect of computational grid sizes on the predicted characteristics of thermal radiation for a fire

  • 1. Department of Engineering and System Science, Institute of Nuclear Engineering and Science, National Tsing Hua University, 101, Sec.2. Kuang-Fu Rd., Hsingchu 30013, Taiwan 325 (China)

Description

Recently, the phenomenological modeling of fires has been shifted from the engineering application of correlation-based methods to the computational fluid dynamics (CFD) techniques. Therefore, the majority of this paper is to investigate the effects of grid sizes on the predicted radiative characteristics involved in a fire using CFD simulations, with the aim of selecting the appropriate grid size under the consideration of prediction accuracy and computing cost. Based on the present simulations, the predicted flame height increases as the decreasing grid size and would approach to a quasi-steady value if the simulation grids are adopted to be small enough. Similar results are also revealed in the radiative heat flux behaviors. The predicted distributions of radiative heat fluxes have no significant variations as the grid size is reduced to some small value. Several experiments of small pool fires with various diameters (20-38 cm) are conducted to assess the present CFD predictions. Using the appropriate grid size, the predicted results for radiative heat fluxes and flame heights show good agreement with the experimental data for different-size pool fires. This grid size suggested in this paper could assist the CFD simulations of pool fires in obtaining the accurate enough predictions with reasonable computing time.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.applthermaleng.2008.11.010

Additional details

Identifiers

DOI
10.1016/j.applthermaleng.2008.11.010;
PII
S1359-4311(08)00454-7;

Publishing Information

Journal Title
Applied Thermal Engineering
Journal Volume
29
Journal Issue
11-12
Journal Page Range
p. 2243-2250
ISSN
1359-4311
CODEN
ATENFT

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
44021696
Subject category
S42: ENGINEERING;
Resource subtype / Literary indicator
Numerical Data
Descriptors DEI
ACCURACY; COMPUTERIZED SIMULATION; ENGINEERING; EXPERIMENTAL DATA; FIRES; FLAMES; FLUID MECHANICS; HEAT FLUX; THERMAL RADIATION
Descriptors DEC
DATA; ELECTROMAGNETIC RADIATION; INFORMATION; MECHANICS; NUMERICAL DATA; RADIATIONS; SIMULATION

Optional Information

Copyright
Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.