@article{1437931,
      author = {Hirsch, Ch., and Hillewaert, Koen, and Hartmann, Ralf, and  Couaillier, Vincent, and Boussuge, Jean-Francois, and  Chalot, Frederic, and Bosniakov, Sergey, and Haase, W.},
      url = {http://library.usi.edu/record/1437931},
      title = {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 /},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-030-62048-6},
      recid = {1437931},
      pages = {1 online resource (ix, 550 pages) :},
}