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An uncertainty estimation module for turbulence model predictions in SU2 by Mishra, Aashwin Ananda; Mukhopadhaya, Jayant; Iaccarino, Gianluca; Alonso, Juan is a scholarly article available to read on EtoBox.

What is An uncertainty estimation module for turbulence model predictions in SU2 about?

With the advent of improved computational resources, aerospace design has testing-based process to a simulation-driven procedure, wherein uncertainties in design and operating conditions are explicitly accounted for in the design under uncertainty methodology. A key source of such uncertainties in design are the closure models used to account for fluid turbulence. In spite of their importance, no reliable and extensively tested modules are available to estimate this epistemic uncertainty. In this article, we outline the EQUiPS uncertainty estimation module developed for the SU2 CFD suite that focuses on uncertainty due to turbulence models. The theoretical foundations underlying this 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 were able to account for a significant portion of the discrepancy between RANS predictions and high fidelity data.

Author

Mishra, Aashwin Ananda; Mukhopadhaya, Jayant; Iaccarino, Gianluca; Alonso, Juan

Published

2018

Language

EN