• Login
    View Item 
    •   SMARTech Home
    • College of Engineering (CoE)
    • Daniel Guggenheim School of Aerospace Engineering (AE)
    • School of Aerospace Engineering Publications & Presentations
    • View Item
    •   SMARTech Home
    • College of Engineering (CoE)
    • Daniel Guggenheim School of Aerospace Engineering (AE)
    • School of Aerospace Engineering Publications & Presentations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Multifidelity Space Mission Planning and Infrastructure Design Framework for Space Resource Logistics

    Thumbnail
    View/Open
    AIAA_JSR_ISRU_Preprint.pdf (884.8Kb)
    Date
    2021-03
    Author
    Chen, Hao
    Sarton Du Jonchay, Tristan
    Hou, Linyi
    Ho, Koki
    Metadata
    Show full item record
    Abstract
    To build a sustainable space transportation system for human space exploration, the design and deployment of space infrastructure, such as in-situ resource utilization plants, in-orbit propellant depots, and on-orbit servicing platforms, are critical. The design analysis and trade studies for these space infrastructure systems require the consideration of not only the design of the infrastructure elements themselves, but also their supporting systems (e.g., storage, power) and logistics transportation while exploring various architecture options (e.g., location, technology). This paper proposes a system-level space infrastructure and logistics design optimization framework to perform architecture trade studies. A new space-infrastructure logistics optimization problem formulation is proposed that considers the internal interactions of infrastructure subsystems and their external synergistic effects with space logistics simultaneously. Because the full-size version of this proposed problem formulation can be computationally prohibitive, a new multifidelity optimization formulation is developed by varying the granularity of the commodity-type definition over the space logistics network; this multifidelity formulation can find an approximate solution to the full-size problem computationally efficiently with little sacrifice in the solution quality. The proposed problem formulation and method are applied to the design of in situ resource utilization systems in a multimission lunar exploration campaign to demonstrate their values.
    URI
    http://hdl.handle.net/1853/66797
    Collections
    • School of Aerospace Engineering Publications & Presentations [48]

    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