Modified on
05 Jul 2023 07:32 pm
Skill-Lync
In order to develop trust and confidence in CFD simulations, one needs to understand, at best, to evaluate and control the errors and uncertainty associated with CFD simulations. The definitions of the terms error and uncertainty, based on the AIAA guidelines (American Institute of Aeronautics and Astronautics, 1998) on CFD, are:
UNCERTAINTY – “A potential deficiency in any phase or activity of the modeling process that is due to the lack of knowledge."
ERROR - “A recognizable deficiency in any phase or activity of modeling and simulation that is not due to lack of knowledge.”
The word potential is highlighted in the definition of uncertainty, thereby implying that one may or may not encounter it. The lack of knowledge justifies its place, which is bereft of the understanding of the physical flow processes that goes into the modeling procedure. Turbulence modeling is a very good example of uncertainty by itself, as there’s a lot to the phenomenon of turbulence that is still not understood clearly. Uncertainty can be classified as input and physical.
Input: caused due to erroneous boundary conditions or incomplete information on the material fluid properties etc.
Physical: caused due to the failure to account for characteristics such as chemical reactions, incompressibility, turbulence, etc.
The definition of error implies that the deficiency is identifiable upon examination. Errors can also be classified as acknowledged or unacknowledged:
Acknowledged: constitutes the errors, which can be identified and removed or chosen to be kept to achieve a finite level of accuracy.
Unacknowledged: It constitutes programming or usage errors that have no set procedures for finding them and may continue within the code or simulation.
Errors are an integral part of the simulation process, and the ones discussed above will likely creep into the computation with or without our control. Hence the most important recommendation is to be critical of the results produced by a CFD code and use not only physical insight but also all the available knowledge on numerical analysis to get reliable results efficiently.
Author
Navin Baskar
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Skill-Lync
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