TILDA: Towards Industrial LES/DNS in Aeronautics: Paving the Way for Future Accurate CFD - Results of the H2020 Research Project TILDA, Funded by the European Union, 2015 -2018

Charles Hirsch (Curatore)

Koen Hillewaert (Curatore)

Springer Nature Switzerland AG, 2022

This book offers detailed insights into new methods for high-fidelity CFD, and their industrially relevant applications in aeronautics. It reports on the H2020 TILDA project, funded by the European Union in 2015-2018. The respective chapters demonstrate the potential of high-order methods for enabling more accurate predictions of non-linear, unsteady flows, ensuring enhanced reliability in CFD predictions. The book highlights industrially relevant findings and representative test cases on the development of high-order methods for unsteady turbulence simulations on unstructured grids; on the development of the LES/DNS methodology by means of multilevel, adaptive, fractal and similar approaches for applications on unstructured grids; and on leveraging existent large-scale HPC networks to facilitate the industrial applications of LES/DNS in daily practice. Furthermore, the book discusses multidisciplinary applications of high-order methods in the area of aero-acoustics. All in all, it offers timely insights into the application and performance of high-order methods for CFD, and an extensive reference guide for researchers, graduate students, and industrial engineers whose work involves CFD and turbulence modeling. 

• Curatore: Charles Hirsch, Koen Hillewaert
• Editore: Springer Nature Switzerland AG
• Collana: Notes on Numerical Fluid Mechanics and Multidisciplinary Design
• Anno: 2022
• Rilegatura: Paperback / softback
• Pagine: 550 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783030620509

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