Hi Victor,
I suspect a soot yield of 0.01 would not be a conservative design
figure. This is the low end of a range of values for flaming
combustion of a sample with area 0.005 m^2 (i.e. small scale). The
range goes up to 0.035 but you haven't quoted that - why? What makes
you think the results will scale up? The 'database' file for FDS4 was
meant as a starting point to test the model's features, I recall the
user's guide explicitly stated that the user should research and use
his/her own values (the fact that nobody did this is the reason the
database is no longer provided).
Under well-ventilated flaming conditions with this one specific type
of polyurethane foam in the cone calorimeter, you may get a soot yield
in this range, however during the growth phase, in a real fire, or
with a different incident heat flux, the yield could be much higher.
Under-ventilated conditions will affect the amount of soot produced.
Even the foam at the corner of an armrest could yield more soot than
the top of the seat. Sprinklers will also have an effect.
The SFPE Handbook of Fire Protection Engineering (3rd Edn, Table
3-4.14) gives flexible polyurethane soot yields up to 0.227 kg/kg fuel
burnt. I'm not saying this is the correct value to use for your
situation either, but it is up to you as designer to justify the soot
yield used. If I were reviewing your design I would question use of a
yield of 0.035. Unless you have test information for the specific
fuel package, which includes the exact combination of timber, foam and
fabric to be used in that area forever, I'd suggest being conservative
is the only way to go. You may wish to consider using a high
percentile of a range of values from Table 3-4.14.
The visibility criteria are hard to meet for several reasons. We are
dealing with people's lives here (I don't mean to preach, but it's
easy to forget sometimes when you're just looking at an empty model),
and the test data on how the people using your building will respond
physiologically or psychologically to different types and quantities
of smoke is very limited.
Please try to avoid the temptation to reverse engineer input
parameters to achieve the result you think you should get - otherwise
why do we do modelling at all?
Regards,
Blair Stratton
Beca