2026-06-01T07:34:41Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/374002026-02-03T11:16:34Zcom_10630_2254col_10630_37953

Addressing the Impact of Non-intrinsic Uncertainty Sources in the Stability Analysis of a High-Speed Jet Granados-Ortiz, Francisco-Javier Airiau, Christopher Ortega-Casanova, Joaquín Mecánica de fluidos It is acknowledged by mechanical and aeronautical engineers that many important industrial fluid mechanics simulation-based decisions are made by analysing Reynolds-Averaged Navier-Stokes (RANS) simulations. However, despite that the use of RANS simulations has become a necessity, still unrealistic conditions such as not considering experimental variability or blindly trust a turbulence model happens in practice. This is an important concern in simulation of high-speed jet flows, as the reliability and the accuracy of RANS is still an issue. In this work non-intrusive Uncertainty Quantification (UQ) has been applied to the linear stability analysis of 3D RANS simulations of an under-expanded supersonic jet under uncertainty. The Parabolized Stability Equations (PSE) are utilised for the first time in the literature in a probabilistic approach for the propagation of uncertainty upon CFD simulations. As PSE does not include turbulence nor stagnation pressure as parameters in their mathematical formulation (named non-intrinsic parameters in this work), this framework enables a recommended practice to quantify the impact of uncertainty from earlier stages on the latter jet instability analysis. 2025-01-30T11:56:04Z 2025-01-30T11:56:04Z 2021-10-12 journal article F.-J. Granados-Ortiz, C. Airiau, J. Ortega-Casanova, Addressing the Impact of Non-intrinsic Uncertainty Sources in the Stability Analysis of a High-Speed Jet, International Journal of Mechanical Sciences, Volume 213, 2022, 106847, ISSN 0020-7403, https://doi.org/10.1016/j.ijmecsci.2021.106847. (https://www.sciencedirect.com/science/article/pii/S0020740321005695) https://hdl.handle.net/10630/37400 10.1016/j.ijmecsci.2021.106847 eng open access Elsevier