Uncertainty Quantification
Uncertainty Quantification for Engineering Decisions
Quantify how uncertain inputs, tolerances, operating ranges, and modeling assumptions affect CFD results, design risk, and confidence.
Uncertainty Quantification
Best for
Best for
- CFD results affected by uncertain boundary conditions
- Tolerance, operating range, or material assumption studies
- Sensitivity ranking for key input variables
- Robustness comparison across design variants
Not best for
- Projects without plausible input ranges
- Decisions without a measurable performance metric
- Replacing validation data when testing is required
Uncertainty Quantification
UQ approach
UQ is used when one deterministic simulation is not enough to support a design decision. The workflow defines uncertain inputs, samples realistic ranges, evaluates metric variation, and identifies which inputs drive risk.
Input uncertainty definition
Sampling and study planning
Sensitivity and risk ranking
Confidence ranges for performance metrics
Uncertainty Quantification
Decision outputs
The result is framed around engineering decisions: whether a design remains acceptable under realistic variation, which parameters should be controlled, and what should be tested next.
Uncertainty range or confidence band
Robustness comparison across variants
Tolerance and control-priority recommendations
Validation or test-priority notes
Uncertainty Quantification
UQ outputs
01
Uncertain input table
02
Sampling or study plan
03
Sensitivity ranking
04
Performance confidence range
05
Robustness comparison
06
Risk and control-priority recommendations
Uncertainty Quantification
Common questions
What does UQ add to a CFD project?
UQ estimates how uncertain inputs affect final performance, helping teams identify robust designs instead of only evaluating one ideal condition.
When is UQ useful?
UQ is useful when boundary conditions, operating ranges, geometry tolerances, material properties, or model assumptions could change the final engineering decision.
Does UQ replace testing?
No. UQ helps prioritize risks and tests, but critical product decisions may still require validation data.
Uncertainty Quantification
Need confidence ranges for a CFD result?
Send the uncertain inputs, target metrics, operating ranges, and design decision you need to support.
Request a UQ Review