LES simulation of terrain slope effects on wind enhancement by a point source fire

Eftekharian, Esmaeel; Rashidi, Maria; Ghodrat, Maryam; He, Yaping; Kwok, K.C.S.

doi:10.1016/j.csite.2020.100588

Cited by 10 publications

(1 citation statement)

References 38 publications

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“…For a second verification test of wildFireFoam, we demonstrate solver accuracy and computational savings for fire spread at larger scales over a variable-incline slope. With this case, we demonstrate the flexibility and utility of our AMR framework for efficient large-scale fire spread simulations, similar to [36] and recent studies using fireFoam to investigate fire-wind interactions [37][38][39][40].…”

Section: Verification: Large-scale Wind-driven Fire Spreadsupporting

confidence: 61%

Efficient simulation of turbulent diffusion flames in OpenFOAM using adaptive mesh refinement

Lapointe

Wimer

Glusman

et al. 2020

Fire Safety Journal

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Wildland fires are complex multi-physics problems that span wide spatial scale ranges. Capturing this complexity in computationally affordable numerical simulations for process studies and "outer-loop" techniques (e.g., optimization and uncertainty quantification) is a fundamental challenge in reacting flow research. Further complications arise for propagating fires where a priori knowledge of the fire spread rate and direction is typically not available. In such cases, static mesh refinement at all possible fire locations is a computationally inefficient approach to bridging the wide range of spatial scales relevant to wildland fire behavior. In the present study, we address this challenge by incorporating adaptive mesh refinement (AMR) in fireFoam, an OpenFOAM solver for simulations of complex fire phenomena. The AMR functionality in the extended solver, called wildFireFoam, allows us to dynamically track regions of interest and to avoid inefficient over-resolution of areas far from a propagating flame. We demonstrate the AMR capability for fire spread on vertical panels and for large-scale fire propagation on a variable-slope surface that is representative of real topography. We show that the AMR solver reproduces results obtained using much larger statically refined meshes, at a substantially reduced computational cost.

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