Fire dynamics simulator (version 2) :

McGrattan, Kevin B.; Hostikka, Simo; Floyd, Jason; Baum, Howard R.; Rehm, Ronald G.

doi:10.6028/nist.ir.6783e2002

Cited by 163 publications

(16 citation statements)

References 99 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The forward Euler method is used to difference time derivatives, using a Courant factor (the proportionality constant that is required for numerical stability and relates the local time step, zone size, and propagation speed) of 0.50, which is comparable to Courant factors employed in fully compressible 2D calculations. Thus, the current model is first-order accurate in space and time; however, a second order in time scheme can be easily implemented as a predictor-corrector scheme (e.g., McGrattan et al 2004). In such a scheme a predicted value is first computed at the new time step.…”

Section: Computational Proceduresmentioning

confidence: 99%

“…[5]) and using the continuity equation (@ /@t þ : = v ¼ 0), an elliptic equation is obtained: 1985;McGrattan et al 1994McGrattan et al , 2000McGrattan et al , 2004 and references therein) solve the continuity equation and eliminate the energy equation, incorporating it into the compressibility constraint. Other approaches (e.g., Majda & Sethian 1985;Bayliss et al 1992) solve the energy equation, employing the continuity equation as a constraint.…”

Section: Computational Proceduresmentioning

confidence: 99%

“…However, at present only the LMNA can successfully model the compressibility effects and significant lateral fluctuations in temperature and density that characterize deflagrations, as well as offer substantial increases in time step and avoid acoustic boundary complications. While the LMNA is routinely used to model terrestrial combustion (e.g., Bayliss et al 1992;McGrattan et al 2004), only recently have efforts begun to adapt it to the astrophysical setting. Alternative astrophysical LMNA models have been recently developed by Bell et al (2004a) and Almgren et al (2006aAlmgren et al ( , 2006b.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Low Mach Number Modeling of Type I X‐Ray Burst Deflagrations

Lin

Bayliss

Taam

2006

ApJ

View full text Add to dashboard Cite

The low Mach number approximation (LMNA) is applied to two-dimensional hydrodynamic modeling of type I X-ray bursts on a rectangular patch on the surface of a nonrotating neutron star. Because such phenomena involve decidedly subsonic flows, the time step increase offered by the LMNA makes routine simulations of these deflagrations feasible in an environment where strong gravity produces significant stratification, while allowing for potentially significant lateral differences in temperature and density. The model is employed to simulate the heating, peak, and initial cooling stages in the deep envelope layers of a burst. During the deflagration, Bénard-like cells naturally fill up a vertically expanding convective layer. The Mach number is always less than 0.15 throughout the simulation, thus justifying the low Mach number approximation. While the convective layer is superadiabatic on average, significant fluctuations in adiabaticity occur within it on subconvective timescales. Due to convective layer expansion, significant compositional mixing naturally occurs, but tracer particle penetration through the convective layer boundaries on convective timescales is temporary and spatially limited. Thus, mixing occurs on the relatively slow burst timescale through thermal expansion of the convective layer rather than from mass penetration of the convective layer boundary through particle convection. At the convective layer boundaries where mixing is less efficient, the actual temperature gradient more closely follows the Ledoux criterion.

show abstract

Section: Computational Proceduresmentioning

confidence: 99%

Section: Computational Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Low Mach Number Modeling of Type I X‐Ray Burst Deflagrations

Lin

Bayliss

Taam

2006

ApJ

View full text Add to dashboard Cite

show abstract

“…Solving eq (43) for T p and eliminating using eq (42) yields or Substituting the convective energy released by the fire,…”

Section: (41)mentioning

confidence: 99%

“…This assumption breaks down in large compartments and long corridors due to the time required to fill these spaces. A simple procedure is described for accounting for the formation delay of an upper layer in a long corridor by using correlations developed from numerical experiments generated with the NIST fire model Large Eddy Simulation Model (LES) [42], which is now the Fire Dynamic Simulation Model (FDS) [43]. FDS is a computational fluid dynamics model capable of simulating fire flow velocities and temperatures with high (~0.1m) resolution.…”

Section: Corridor Flowmentioning

confidence: 99%

Verification and validation of CFAST :

Jones¹,

Peacock²,

Forney³

et al. 2004

Self Cite

View full text Add to dashboard Cite

CFAST is a zone model capable of predicting the environment in a multi-compartment structure subjected to a fire. It calculates the time evolving distribution of smoke and fire gases and the temperature throughout a building during a user-specified fire. This report describes the equations which constitute the model, the physical basis for these equations, data which are used by the model, and details of the operation of the computer program implementing the model. This paper is an assessment of the model following the template set forth in ASTM 1355, "Standard Guide for Evaluating the Predictive Capability of Deterministic Fire Models." We include in this paper a set of comparisons between the model and a range of real-scale fire experiments is presented as the validation exercise require by the standard. In addition, we have developed a means to do a quantitative comparison between the time series represented by these predictions and those found in experiments.

show abstract

Natürliche Entrauchung mit NRA

Blume¹,

Hegger²

2016

Bauphysik Kalender 2016

View full text Add to dashboard Cite

Fire dynamics simulator (version 2) :

Cited by 163 publications

References 99 publications

Low Mach Number Modeling of Type I X‐Ray Burst Deflagrations

Low Mach Number Modeling of Type I X‐Ray Burst Deflagrations

Verification and validation of CFAST :

Natürliche Entrauchung mit NRA

Contact Info

Product

Resources

About