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Thesis Abstract: Integrated Vehicle Design Optimization for Transportation Networks

The objective of this research is to develop a framework for the initial optimization of the vehicle design within a network. Traditionally, vehicle design decisions are determined for a defined set of operational requirements, where the operational requirements are set for a single destination objective. When multiple destinations exist and vehicles must travel between multiple locations, a transportation network problem is analyzed. In transportation networks, the optimal operational requirements are determined for a given set of vehicles, under the constraints of the pre-defined vehicle capabilities. A high degree of coupling exists between the vehicle and the network, and it is therefore necessary to integrate these sub-systems into the initial design framework to achieve a true system optimum. The examples considered in this research are the design of an air transportation network and a space transportation network. Using the air transportation network as baseline, the space transportation network can be seen as a generalization, where many of the assumptions used in air transportation networks no longer hold, such as a static graph. Space transportation networks are dynamic networks where the nodes in the graph are time varying, which creates a dependency of the network parameters on time. This research will provide insight into the effects of dynamic network on the transportation system as well as develop a framework to analyze the integrated design of a vehicle in a time-varying network.
PUBLICATIONS:
Taylor, C., Broniatowski, D., Boas, R., Silver, M., Crawley, E., de Weck, O., Hoffman, J., Paradigm Shift in Design for NASA’s Space Exploration Initiative: Results from MIT’s Spring 2004 Study, 1st Space Exploration Conference, AIAA, 2004

Taylor, C., de Weck, O., Concurrent Trajectory and Vehicle Optimiztaion: A Case Study of Earth-Moon Supply Chain Logistics, 1st MDO Specialist Conference, AIAA, 2005