• Login
    View Item 
    •   SMARTech Home
    • College of Engineering (CoE)
    • Daniel Guggenheim School of Aerospace Engineering (AE)
    • Space Systems Design Lab (SSDL)
    • Space Systems Design Lab Technical Papers
    • View Item
    •   SMARTech Home
    • College of Engineering (CoE)
    • Daniel Guggenheim School of Aerospace Engineering (AE)
    • Space Systems Design Lab (SSDL)
    • Space Systems Design Lab Technical Papers
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    The Suitability of Selected Multidisciplinary Design and Optimization Techniques to Conceptual Aerospace Vehicle Design

    Thumbnail
    View/Open
    aiaa_92-4791.pdf (423.3Kb)
    Date
    1992-09
    Author
    Olds, John R.
    Metadata
    Show full item record
    Abstract
    Aerospace vehicle conceptual design is dominated by interactions among various traditional engineering disciplines. Aerodynamics, propulsion, performance, weights, sizing, and others are usually highly coupled, and complete vehicle analysis requires an iterative process with efficient methods of communication among the disciplines. Progress to computerize the analysis process has been fast in recent years, producing analysis tools such as NASA-Langley's AVID and EASIE. Given a configuration, the capability exists to quickly analyze it in order to determine its overall characteristics and performance. However, the vehicle designer/ integrator still largely depends on intuition to make systems level changes to the configuration and components in order to improve or optimize the overall design. "What if" studies are typically performed by perturbing the design variables one at a time in an attempt to locate a better design. A complete reanalysis of the entire system is then required for each variable change. This method is a time consuming process that may or may not lead to a more desirable vehicle design. Several mathematically based design techniques have recently emerged that could help the system designer make necessary improvements. These new methods serve to bridge the gap between analysis and design. This paper attempts to give a brief overview of four such techniques, system decomposition, sensitivity analysis, Taguchi methods, and for comparison, classical optimization. References to examples of successful uses of each technique are provided. The goal of this paper is to assess the pros and cons of each technique and their applicability to aerospace vehicle conceptual design.
    URI
    http://hdl.handle.net/1853/8443
    Collections
    • Space Systems Design Lab Technical Papers [108]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology