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  • Format: PDF

Provides practical advice for students and developers offering access to some fine and well-established programming techniques in CFD Constitutes an excellent introduction to the world of CFD equally useful to beginners and experts Includes the complete set of computer codes ready for download

  • Geräte: PC
  • ohne Kopierschutz
  • eBook Hilfe
  • Größe: 22.62MB
Produktbeschreibung
Provides practical advice for students and developers offering access to some fine and well-established programming techniques in CFD Constitutes an excellent introduction to the world of CFD equally useful to beginners and experts Includes the complete set of computer codes ready for download

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Joel H. Ferziger, Dept. Mechanical Engineering, Stanford University, Stanford, CA, USA
Joel passed away in 2004; he taught numerical methods in engineering and CFD over many years at Stanford and is widely known for his pioneering work on large-eddy simulation methods.
Milovan Peric, Faculty of Engineering, University of Duisburg-Essen, and CoMeT Continuum Mechanics Technologies GmbH, Erlangen, Germany
Milovan taught CFD and fluid dynamics at universities in Erlangen and Hamburg for 15 years and then spent 12 years at CD-adapco (now part of Siemens PLM), working on the development of commercial CFD software. He is currently consultant to Siemens PLM and industrial users of CFD-software and also teaching Applied CFD at the University of Duisburg-Essen.
Robert L. Street, School of Engineering, Stanford University, Stanford, CA, USA
Bob has taught fluid mechanics, numerical methods and turbulence modeling coursesat Stanford for the past 56 years; his research focuses on numerical simulation of geophysical flows. In recent years, he has worked on turbulence models for large-eddy simulation of the atmospheric boundary layer and of cloud formation and evolution.