Dynamic network modeling for spaceflight logistics with time-expanded networks
Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015.
| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2015
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| Online Access: | http://hdl.handle.net/1721.1/98557 |
| _version_ | 1826209848805556224 |
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| author | Ho, Koki |
| author2 | Olivier L. de Weck. |
| author_facet | Olivier L. de Weck. Ho, Koki |
| author_sort | Ho, Koki |
| collection | MIT |
| description | Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. |
| first_indexed | 2024-09-23T14:32:40Z |
| format | Thesis |
| id | mit-1721.1/98557 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T14:32:40Z |
| publishDate | 2015 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/985572019-04-11T03:50:45Z Dynamic network modeling for spaceflight logistics with time-expanded networks Ho, Koki Olivier L. de Weck. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Aeronautics and Astronautics. Thesis: Ph. D., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, 2015. This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. Cataloged from student-submitted PDF version of thesis. Includes bibliographical references (pages 139-145). This research develops a dynamic logistics network formulation for high-level lifecycle optimization of space mission sequences in order to find an optimal space transportation architecture considering its technology trades over time. The proposed methodology is inspired by terrestrial logistics analysis techniques based on linear programming network optimization. A new model with a generalized multi-commodity network flow formulation and a time-expanded network is developed for dynamic space logistics optimization. The developed methodology is applied to three case studies: 1) human exploration of Mars; 2) human exploration of a near-Earth object (NEO); 3) their combination (related to the concept of the Flexible Path). The results reveal multiple dynamic system-level trades over time and provide recommendations for an optimal strategy for human space exploration architecture. The considered trades include those between in-situ resource utilization (ISRU) and propulsion technologies as well as orbit and depot location selection over time. The numerical results show that using specific combinations of propulsion technologies, ISRU, and other space infrastructure elements effectively, we can reduce the initial mass in low- Earth orbit (IMLEO) by 45-50% compared with the baseline architecture. In addition, the analysis results also show that we can achieve 15-20% IMLEO reduction by designing Mars and NEO missions together as a campaign compared with designing them separately owing to their common space logistics infrastructure pre-deployment. This research serves as a precursor for eventual permanent settlement and colonization of other planets by humans, thus transforming us into a multi-planet species. by Koki Ho. Ph. D. 2015-09-17T17:42:24Z 2015-09-17T17:42:24Z 2015 2015 Thesis http://hdl.handle.net/1721.1/98557 920684579 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 145 pages application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Ho, Koki Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title | Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title_full | Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title_fullStr | Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title_full_unstemmed | Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title_short | Dynamic network modeling for spaceflight logistics with time-expanded networks |
| title_sort | dynamic network modeling for spaceflight logistics with time expanded networks |
| topic | Aeronautics and Astronautics. |
| url | http://hdl.handle.net/1721.1/98557 |
| work_keys_str_mv | AT hokoki dynamicnetworkmodelingforspaceflightlogisticswithtimeexpandednetworks |