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Herausgeber: 
  • Rolf Malte
  • Holzapfel Gerhard A.
  • Xiao Yun Xu
  • Model Validation and Uncertainty Quantification in Biomechanics: From Soft Biological Tissue to Blood Flow 
     

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


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Vorankündigung
    Veröffentlichung:  ANGEKÜNDIGT (September 2026)  
    Genre:  Naturwissensch., Medizin, Technik 
     
    biomechanics / Biomedical engineering / Biomedical engineering / Medical engineering / biotechnology / Cardiovascular / Computational Biomechanics / inverse problem / numerical modelling
    ISBN:  9780443330162 
    EAN-Code: 
    9780443330162 
    Verlag:  Elsevier 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 191 mm / D  
    Gewicht:  450 gr 
    Bewertung: Keine Bewertung vor Veröffentlichung möglich.
    Inhalt:
    Model Validation and Uncertainty Quantification in Biomechanics: From Soft Biological Tissue to Blood Flow provides a comprehensive overview of the latest technology in biomechanical modeling and analysis. Part I presents the foundational principles of modeling primary biomechanical systems, including the intricate workings of the cardiovascular system. This section also provides invaluable insights into essential topics such as sensitivity analysis, uncertainty quantification, machine learning, and surrogate modeling. In Part 2, the book transitions into an in-depth examination of the current state-of-the-art in model validation techniques across a diverse array of biomechanical disciplines, including the latest advancements and best practices.

    Part 3 introduces current and innovative approaches for quantifying uncertainties inherent in biomechanical modeling. Chapters range from established methodologies to emerging techniques, providing a comprehensive overview of the various strategies employed in addressing uncertainty in biomechanical studies. Finally, in Part 4, the book concludes with a focus on cutting-edge methods, specifically spotlighting the utilization of machine learning and surrogate modeling for both model validation and uncertainty quantification. Through real-world applications and case studies, this book provides an in-depth understanding of how these advanced techniques are reshaping the landscape of biomechanics research.

      



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