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Literature Survey
Over the last few years a lot of work has been done in the area of
uncertainty quantification and propagation in the field of
Computational Fluid Mechanics. Before embarking on the study of these
issues some discussion on nomenclature is warranted. As defined by
AIAA,:
- Error: A recognizable deficiencyin any phase or activity of
modeling
an simulation that is not due to lack of knowledge.
- Uncertainty: A potential deficiency in any phase or activity of
the
modelling process that is due to lack of knowledge.
Uncertainty can be further categorized as aleatoric (inherent
uncertainty) and epistemic (model uncertainty). Examples of aleatoric
uncertainty are operating conditions and geometric uncertainty
(manufacturing errors). Various coefficients in the turbulence
models and properties of fluids are epistemic uncertainties.
Simpliefied fluid models and the reduced number of parameters used to
represent the flow also classifies as epistemic uncertainty. These
webpages are looking at aleatoric uncertainty quantification and
propagation, in particular, the geometric uncertainty arrising
out of manufacturing errors. Literature survey aims at the following
areas:
- Uncertainty
Quantification Methods
- Uncertainty
Propagation Methods
- Industry Requirements
All the publications referrred by us can be found here.
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