Computational Fluid Dynamics (CFD) is fast becoming a useful tool to aid clinicians in pre
-
surgical planning through the ability to provide inform
ation that could otherwise be extremely
difficult if not impossible to obtain. However, in order to provide clinically relevant metrics,
the accuracy of the computational method must be sufficiently high. There are many
alternative
methods employed
in the process of performing CFD simulations within the
airways, including different segme
ntation and meshing strategies, as well as alternative
approaches to solving the Navier
-
Stokes equations.
However, as
in vivo
validation of the
simulated flow patter
ns within the airways is not possible, little exists in the way of validation
of the various simulation techniques. The data presented here consists of very highly
resolved flow data. The degree of resolution is compared to the highest necessary
resolution
s of the Kolmogorov length and time
scales. Therefore this data is ideally suited to
act as a benchmark case to which cheaper comput
ational methods may be compared.
A
dataset and solution setup for one such more efficient method, large eddy simulation (LES
),
is also presented.