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Model. and Simul. in Eng. Sci."],"abstract":"<jats:title>Abstract<\/jats:title>\n          <jats:p>This article provides a reduced-order modelling framework for turbulent compressible flows discretized by the use of finite volume approaches. The basic idea behind this work is the construction of a reduced-order model capable of providing closely accurate solutions with respect to the high fidelity flow fields. Full-order solutions are often obtained through the use of segregated solvers (<jats:italic>solution variables are solved one after another<\/jats:italic>), employing slightly modified conservation laws so that they can be decoupled and then solved one at a time. Classical reduction architectures, on the contrary, rely on the Galerkin projection of a complete Navier\u2013Stokes system to be projected all at once, causing a mild discrepancy with the high order solutions. This article relies on segregated reduced-order algorithms for the resolution of turbulent and compressible flows in the context of physical and geometrical parameters. At the full-order level turbulence is modeled using an eddy viscosity approach. Since there is a variety of different turbulence models for the approximation of this supplementary viscosity, one of the aims of this work is to provide a reduced-order model which is independent on this selection. This goal is reached by the application of hybrid methods where Navier\u2013Stokes equations are projected in a standard way while the viscosity field is approximated by the use of data-driven interpolation methods or by the evaluation of a properly trained neural network. By exploiting the aforementioned expedients it is possible to predict accurate solutions with respect to the full-order problems characterized by high Reynolds numbers and elevated Mach numbers.<\/jats:p>","DOI":"10.1186\/s40323-025-00284-8","type":"journal-article","created":{"date-parts":[[2025,2,19]],"date-time":"2025-02-19T19:24:31Z","timestamp":1739993071000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A segregated reduced-order model of a pressure-based solver for turbulent compressible flows"],"prefix":"10.1186","volume":"12","author":[{"given":"Matteo","family":"Zancanaro","sequence":"first","affiliation":[]},{"given":"Valentin Nkana","family":"Ngan","sequence":"additional","affiliation":[]},{"given":"Giovanni","family":"Stabile","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0810-8812","authenticated-orcid":false,"given":"Gianluigi","family":"Rozza","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,2,19]]},"reference":[{"key":"284_CR1","unstructured":"Anderson JD. 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