Most designers are aware that many variables entering the simulation process have a range of uncertainty, such as operational (boundary) conditions, geometric or modeling parameters. With this new tool from NUMECA, you will be able to reduce the risks associated to your simulation based design decision process, by:
- Specifying and quantifying input uncertainties as probability density functions (pdf)
- Obtaining predicted quantities with uncertainty bars
- Obtaining predicted quantities as probability density functions, instead of single values, defining hereby a range of confidence
Predicted pressure
distribution with error bars on an airfoil section with uncertain incident Mach
number and flow angle, from FINE™/Open.
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