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Weitersagen:


Herausgeber: 
  • Bernard Geurts
  • Pierre Sagaut
  • Maria Vittoria Salvetti
  • Johan Meyers
  • Quality and Reliability of Large-Eddy Simulations II 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2013  
    Genre:  Naturwissensch., Medizin, Technik 
     
    C / Computational Science and Engineering / Computer mathematics / Computer Modelling / Computer modelling & simulation / Computer simulation / Continuum Mechanics / Engineering Fluid Dynamics / Fluid mechanics / Fluid- and Aerodynamics / Fluids / Maths for scientists / Mechanics of fluids / Physics and Astronomy / Simulation and Modeling
    ISBN:  9789400734159 
    EAN-Code: 
    9789400734159 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  #16 - ERCOFTAC Series  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  682 gr 
    Seiten:  430 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    The second Workshop on "Quality and Reliability of Large-Eddy Simulations", QLES2009, was held at the University of Pisa from September 9 to September 11, 2009. Its predecessor, QLES2007, was organized in 2007 in Leuven (Belgium). The focus of QLES2009 was on issues related to predicting, assessing and assuring the quality of LES. The main goal of QLES2009 was to enhance the knowledge on error sources and on their interaction in LES and to devise criteria for the prediction and optimization of simulation quality, by bringing together mathematicians, physicists and engineers and providing a platform specifically addressing these aspects for LES. Contributions were made by leading experts in the field. The present book contains the written contributions to QLES2009 and is divided into three parts, which reflect the main topics addressed at the workshop: (i) SGS modeling and discretization errors; (ii) Assessment and reduction of computational errors; (iii) Mathematical analysis and foundation for SGS modeling.
      
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