• About
    • Login
    View Item 
    •   Institutional Repository Home
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations
    • View Item
    •   Institutional Repository Home
    • Electronic Theses and Dissertations
    • Electronic Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of Institutional RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    LoginRegister

    Probabilistic Design of Multidisciplinary Systems

    Smith, Natasha Leigh
    : https://etd.library.vanderbilt.edu/etd-03282007-155720
    http://hdl.handle.net/1803/11570
    : 2007-04-13

    Abstract

    Modern aerospace systems are increasingly complex and multidisciplinary, and are required to achieve dramatic improvements in performance, cost effectiveness, and reliability. For this reason, program requirements must include reliability standards and design processes must incorporate methods for assessing and engineering to these requirements. Probabilistic analysis methods have been well developed as a means to assess reliability by propagating uncertainties in the form of stochastic variables through performance analysis models. In addition, reliability-based design optimization (RBDO) has been given considerable attention in recent years as a means to make design decisions to ensure reliability goals are met. However, for multidisciplinary systems, these tools exacerbate the already intensive computational effort required for design optimization. This dissertation develops efficient methods for the probabilistic (or reliability-based) design of multidisciplinary systems, considering system integration from two fronts. The first front is the integration of disciplinary analyses at a single level, for which methods are presented to improve the efficiency of reliability analysis and optimization. These methods are applied in the design of the power supply system for an unmanned aerial vehicle. On the second front, two alternative strategies are developed for the synthesis of reliability-based design across two design levels (as distinguished by the scope, detail, and fidelity of the performance analysis). In the second of these strategies, model form error uncertainty is presented as a valuable metric representing the fidelity of disciplinary analysis models, allowing probabilistic methods to determine the sensitivity of the system design to model fidelity as a basis for model selection. These concepts are applied to the design of conceptual reusable launch vehicle geometry and that of a component liquid hydrogen tank.
    Show full item record

    Files in this item

    Icon
    Name:
    Prob_Dsgn_Mult_Sys.pdf
    Size:
    1.149Mb
    Format:
    PDF
    View/Open

    This item appears in the following collection(s):

    • Electronic Theses and Dissertations

    Connect with Vanderbilt Libraries

    Your Vanderbilt

    • Alumni
    • Current Students
    • Faculty & Staff
    • International Students
    • Media
    • Parents & Family
    • Prospective Students
    • Researchers
    • Sports Fans
    • Visitors & Neighbors

    Support the Jean and Alexander Heard Libraries

    Support the Library...Give Now

    Gifts to the Libraries support the learning and research needs of the entire Vanderbilt community. Learn more about giving to the Libraries.

    Become a Friend of the Libraries

    Quick Links

    • Hours
    • About
    • Employment
    • Staff Directory
    • Accessibility Services
    • Contact
    • Vanderbilt Home
    • Privacy Policy