Graduate Thesis Or Dissertation
 

Enhancing Early Design Decisions through Lightweight, Multi-Fidelity Simulation with AutomataScales

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https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/6t053r23x

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  • Early design decisions are critical in engineering as they significantly influence the overall success, efficiency and, ultimately, cost of system development. Current simulation methods are often complex to implement and require a steep learning curve for design practitioners. Alternatively, because of imprecise, early information, simulations may fail to adequately capture complex physics interactions in the early stages of system design contributing to inefficiencies and higher costs for the project. This dissertation introduces AutomataScales, a comprehensive simulation framework designed to support early design decisions by efficiently modeling physics interactions in discrete form at multiple levels of fidelity. The AutomataScales simulation leverages a cellular automata method to simulate complex physical systems. The simulation was tested across various scenarios to validate its effectiveness in capturing critical design parameters. The results demonstrate the AutomataScales significantly reduces simulation time and resource consumption while maintaining high accuracy in predicting system behavior. This approach offers an efficient alternative way to traditional simulation methods, especially in systems that involve multi-physics interactions. AutomataScales illustrates a transformative approach to early design decision making to offer a versatile and efficient tool for engineers and researchers. Its adoption could lead to more informed design choices, improving development processes and reducing associated costs.
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  • Boston, Massachusetts, USA
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  • This material is based upon work supported by the National Science Foundation under grant number ECCS-2329206.
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