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• W1802466710 abstract "In transition to a new era of human spaceexploration, the question is what the next-generation spacelogistics paradigm should be. The past studies on space logisticshave been mainly focused on a vehicle perspective such aspropulsive feasibility, cargo capacity constraints, and manifestingstrategies, with the arbitrarily predetermined logistics network.But how do we select an optimal logistics network? Especially if wecan utilize in-situ resources on the Moon and Mars, it will addcomplexity to selection problem. The objective of thisthesis is to develop a comprehensive graph-theoretic modelingframework to quantitatively evaluate and optimize space explorationlogistics from a network perspective. In an attempt to createsuch a modeling framework, we develop a novel flow modelreferred to as the generalized multi-commodity flow (GMCNF)model. On top of the classical flow problems, the GMCNFmodel proposed in this thesis introduces three types of matrixmultiplications (requirement, transformation, and concurrency), andalso allows loop edges associated with nodes (graph loops) andmultiple edges between the same end nodes (multigraph). With thismodification, the model can handle multiple commodities thatinteract with each other in the form of requirement at nodes,transformation on edges, and concurrency within edges. A linearprogramming (LP) formulation and a mixed integer linear programming(MILP) formulation of the GMCNF model are described in preparationfor the two case studies. For the MILP formulation, in addition tothe flow, we introduce two more variables, capacity expansion anddecision binary, and additional constraints including the big-Mmethod. The first case study applies the GMCNF LP model to humanexploration of Mars. First we solve the baseline problem with ademand that is equivalent to that of the NASA's Mars DesignReference Architecture (DRA) 5.0 scenario. It is found that thesolution saves 67.5% from the Mars DRA 5.0 reference scenario interms of the initial mass in low-Earth orbit (IMLEO) primarilybecause chemical (LOX/LH2) propulsion is used along withoxygen-rich ISRU. We also present one possible scenario with twogateway resource depots at GTO and DTO with orbital transfervehicles (OTVs) running in the cislunar and Martian systems. Thenwe solve variant problems that have different settings to see theeffect of each factor. Findings include: taking advantage ofoxygen-rich ISRU, LOX/LH2 is preferred to nuclear thermal rocket(NTR), the aerobraking option as well as ISRU availability on theMoon make great contributions in reducing the total mass to belaunched from Earth, and as the ISRU production rate decreases,ISRU in each location becomes worthless at a certain threshold andthe topology changes toward direct paths using NTR. Theother case study applies the GMCNF MILP model to the complexinfrastructure systems in Saudi Arabia, focusing on the couplingsbetween water and energy. Considering the capacity of the online…" @default.
• W1802466710 created "2016-06-24" @default.
• W1802466710 creator A5076233533 @default.
• W1802466710 date "2013-01-01" @default.
• W1802466710 modified "2023-09-23" @default.
• W1802466710 title "Generalized multi-commodity network flows : case studies in space logistics and complex infrastructure systems" @default.
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• W1802466710 hasPublicationYear "2013" @default.
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