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Herausgeber: 
  • Manolis Papadrakakis
  • George Stefanou
  • Vissarion Papadopoulos
  • Computational Methods in Stochastic Dynamics 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2010  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Artificial Intelligence / B / Civil Engineering / Computational Intelligence / Computational Science and Engineering / Computer mathematics / Dynamical systems / Dynamics
    ISBN:  9789048199860 
    EAN-Code: 
    9789048199860 
    Verlag:  Springer 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  Computational Methods in Applied Sciences  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  1490 gr 
    Seiten:  342 
    Illustration:  XII, 342 p. 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    At the dawn of the 21st century, computational stochastic dynamics is an emerging research frontier. This book focuses on advanced computational methods and software tools which can highly assist in tackling complex problems in stochastic dynamic/seismic analysis and design of structures. The book is primarily intended for researchers and post-graduate students in the fields of computational mechanics and stochastic structural dynamics. Nevertheless, practice engineers as well could benefit from it as most code provisions tend to incorporate probabilistic concepts in the analysis and design of structures. The book addresses mathematical and numerical issues in stochastic structural dynamics and connects them to real-world applications. It consists of 16 chapters dealing with recent advances in a wide range of related topics (dynamic response variability and reliability of stochastic systems, risk assessment, stochastic simulation of earthquake ground motions, efficient solvers for the analysis of stochastic systems, dynamic stability, stochastic modelling of heterogeneous materials). Numerical examples demonstrating the significance of the proposed methods are presented in each chapter.
      



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