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Autor(en): 
  • P. Fisette
  • J-C. Samin
  • Symbolic Modeling of Multibody Systems 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2003  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Applied mathematics / C / Dynamical systems / Dynamics / engineering / Engineering Design / Engineering mathematics / Mathematical and Computational Engineering / Mathematical and Computational Engineering Applications / Mathematical theory of computation / Maths for engineers / Multibody Systems and Mechanical Vibrations / Numeric Computing / Numerical analysis / Science Education / Science# general issues / Teaching of a specific subject / Technical design / Vibration / Vibration, Dynamical Systems, Control
    ISBN:  9781402016295 
    EAN-Code: 
    9781402016295 
    Verlag:  Springer Nature EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #112 - Solid Mechanics and Its Applications  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1008 gr 
    Seiten:  476 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Modeling and analysing multibody systems require a comprehensive understanding of the kinematics and dynamics of rigid bodies. In this volume, the relevant fundamental principles are first reviewed in detail and illustrated in conformity with the multibody formalisms that follow. Whatever the kind of system (tree-like structures, closed-loop mechanisms, systems containing flexible beams or involving tire/ground contact, wheel/rail contact, etc), these multibody formalisms have a common feature in the proposed approach, viz, the symbolic generation of most of the ingredients needed to set up the model.
    The symbolic approach chosen, specially dedicated to multibody systems, affords various advantages: it leads to a simplification of the theoretical formulation of models, a considerable reduction in the size of generated equations and hence in resulting computing time, and also enhanced portability of the multibody models towards other specific environments. Moreover, the generation of multibody models as symbolic toolboxes proves to be an excellent pedagogical medium in teaching mechanics.

      
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