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With the advent of improved computational resources, aerospace design hastesting-based process to a simulation-driven procedure, wherein uncertaintiesin design and operating conditions are explicitly accounted for in the designunder uncertainty methodology. A key source of such uncertainties in design arethe closure models used to account for fluid turbulence. In spite of theirimportance, no reliable and extensively tested modules are available toestimate this epistemic uncertainty. In this article, we outline the EQUiPSuncertainty estimation module developed for the SU2 CFD suite that focuses onuncertainty due to turbulence models. The theoretical foundations underlyingthis uncertainty estimation and its computational implementation are detailed.Thence, the performance of this module is presented for a range of test cases,including both benchmark problems and flows relevant to aerospace design.Across the range of test cases, the uncertainty estimates of the module wereable to account for a significant portion of the discrepancy between RANSpredictions and high fidelity data.

An uncertainty estimation module for turbulence model predictions in SU2