While D*, Q* or rules of thumb can provide a ready estimate of required resolution, there may be other factors such as the geometry of the model, its purpose, and the available time that can may be determining factors.
Computational mesh resolution is actually all about simulation time, otherwise we’d all run models at arbitrarily fine resolutions. A model that takes months to run is useless when the project time line is six months!
In my experience model development is done progressively, adding features at a relative course resolution sufficient for reasonable representation of the problem geometry in the first instance.
Once the model is developed and debugged for the duration of the simulation a simple grid sensitivity analysis can be used to validate the grid resolution for the output of interest. If the mesh resolution is reduced progressively by a volumetric factor of 8 (halving the side dimensions of a cubic cell) does the output of interest change appreciably?
Remember that this is a modeling exercise and the output is at best a reasonable approximation based on simplified physics, chemistry and empirical relationships at a macro level.
For best computational efficiency a courser resolution is desirable. A useful trick can be to use a higher resolution mesh to contain the fire and plume (with relatively high computational resources assigned to this mesh) and reduced resolution meshes in other spaces.
While models incorporating an entire building can look impressive, a question you might ask is, ‘is this really necessary to for the task at hand?’ In a high rise building you might limit a simulation to the floor of fire origin, safe paths, shafts, and perhaps the top floor, incorporating representative leakage to other spaces.
If a fire reaches a quasi-steady state (perhaps through sprinkler control, ventilation or fuel limits) maybe you don’t need to run the model for 1,200 seconds?
One can also look at the section “Measure of Turbulence Resolution” in the User guide
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D* is the non-dimensional characteristic diameter of the fire derived from the Froude number. Refer to Section 6.3.6 of the FDS Users Guide. It is related to (and can be derived from) Q*. See Zukoski 1975 although also attributed to others.
From: fds...@googlegroups.com [mailto:fds...@googlegroups.com] On Behalf Of Hannah 11
Sent: Thursday, 17 June 2021 7:53 PM
To: FDS and Smokeview Discussions
Subject: [fds-smv] Re: Grid Size Justification
Dear dr_jfloyd,
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I’m not sure what you are asking Hannah. Perhaps you could take a step backwards and tell me what you are trying to do with FDS? I’m assuming you are trying to establish an appropriate mesh resolution. But it might be that you are trying to understand why D*/dx within an upper bound may provide a reasonable initial estimate for mesh resolution given a HRR.
Note that the Froude number is not specific to fire. It is simply a ratio (put simply: velocity to length). Natural (buoyant diffusion) fires have been shown to exhibit Froude numbers within a range. Plume velocity is driven by heat. So we might expect that the ratio of HRR to cell dimension should fall within bounds to represent real fires.
If you are trying to establish an appropriate mesh resolution then you should complete a sensitivity study for the parameters of interest.
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