| Title: | Model-based systems engineering design case study of a lunar settlement |
| Authors: | James Xie, Author |
| Material Type: | ISU Individual Project |
| Publisher: | Illkirch-Graffenstaden (France) : International Space University, 2023 |
| Format: | 1 electronic resource (vii, 48 p.) / col. ill. |
| Bibliography note: | Includes bibliographical references |
| Languages: | English |
| Class number: | TL799.M6 |
| Subjects: | Lunar bases ; Lunar bases--Design and construction |
| Description: |
The Domi Inter Astra (DIA) concept is a lunar settlement concept developed by the Space Generation Advisory Council as a near-term settlement intended to sustainably support up to 30 crew members from multiple countries to conduct science and surface operations on the Moon. The original design proposed a modular settlement consisting of five inflatable toroidal structures constructed near Shackleton crater in the lunar south pole. To bring the concept towards Phase A readiness and identify potential conflicts, requirements and functional allocations must be formalized to inform the scope of the design.
This report uses a model-based approach to analyse the operational needs that the DIA concept seeks to address and translate them to system- and subsystem-level architecture diagrams. The analysis and modelling use the ARCADIA method and Capella Dataflow Diagrams to decompose the original concept into distinct subsystems, express functional dependencies, identify and characterise interfaces, and elicit requirements from these model views. The identified requirements and functions can be used to inform further preliminary engineering design to confirm trade selections, drive cost estimates, and refine sizing calculations. The analysis also identified areas for further exploration and domain modelling to refine the model and verify design trades. |
| ISU program : | Master of Space Studies |
| Format : | Online/Open Access |
| Permalink: | https://isulibrary.isunet.edu/index.php?lvl=notice_display&id=11879 |
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 Xie, James_IP (3.95MB) Adobe Acrobat PDF |
