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Autor(en): 
  • Daniel Rixen
  • Randall L. Mayes
  • Matthew S. Allen
  • Maarten van der Seijs
  • Paolo Tiso
  • Thomas Abrahamsson
  • Substructuring in Engineering Dynamics: Emerging Numerical and Experimental Techniques 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  August 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Civil Engineering / Computational Science and Engineering / Computer mathematics / Dynamical systems / Dynamics / engineering / Maths for scientists
    ISBN:  9783030255312 
    EAN-Code: 
    9783030255312 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #594 - CISM International Centre for Mechanical Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  600 gr 
    Seiten:  277 
    Illustration:  X, 277 p. 90 illus., 72 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book reviews the most common state-of-the art methods for substructuring and model reduction and presents a framework that encompasses most method, highlighting their similarities and differences. For example, popular methods such as Component Mode Synthesis, Hurty/Craig-Bampton, and the Rubin methods, which are popular within finite element software, are reviewed. Similarly, experimental-to-analytical substructuring methods such as impedance/frequency response based substructuring, modal substructuring and the transmission simulator method are presented. The overarching mathematical concepts are reviewed, as well as practical details needed to implement the methods. Various examples are presented to elucidate the methods, ranging from academic examples such as spring-mass systems, which serve to clarify the concepts, to real industrial case studies involving automotive and aerospace structures. The wealth of examples presented reveal both the potential and limitations of the methods.

      



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