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Autor(en): 
  • Weicheng Cui
  • Binbin Pan
  • Multidisciplinary Design Optimization and Its Application in Deep Manned Submersible Design 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  August 2021  
    Genre:  Naturwissensch., Medizin, Technik 
     
    Deepmannedsubmersible / Hulldesign / Humanoccupiedvehicle / Meerestechnik / Multidisciplinarydesignoptimization / Optimierung / Probabilitytheory / qualitycontrol,reliability,safetyandrisk
    ISBN:  9789811564574 
    EAN-Code: 
    9789811564574 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 17 mm 
    Gewicht:  470 gr 
    Seiten:  308 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This book investigates Reliability-based Multidisciplinary Design Optimization (RBMDO) theory and its application in the design of deep manned submersibles (DMSs). Multidisciplinary Design Optimization (MDO) is an effective design method for large engineering systems like aircraft, warships, and satellites, which require designers and engineers from various disciplines to cooperate with each other. MDO can be used to handle the conflicts that arise between these disciplines, and focuses on the optimal design of the system as a whole. However, it can also push designs to the brink of failure. In order to keep the system balanced, Reliability-based Design (RBD) must be incorporated into MDO. Consequently, new algorithms and methods have to be developed for RBMDO theory.This book provides an essential overview of MDO, RBD, and RBMDO and subsequently introduces key algorithms and methods by means of case analyses. In closing, it introduces readers to the design of DMSs and applies RBMDO methods to the design of the manned hull and the general concept design. The book is intended for all students and researchers who are interested in system design theory, and for engineers working on large, complex engineering systems.

      



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