Autor: |
Andrew D. Wendor, Thomas D. Economon, Timothy MacDonald, Tarik H. Orra, Anil Variyar, Timothy Momose, Michael Colonno, J. Michael Vegh, Juan J. Alonso, Emilio Botero, Trent Lukaczyk |
Rok vydání: |
2015 |
Předmět: |
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Zdroj: |
16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. |
DOI: |
10.2514/6.2015-3087 |
Popis: |
SUAVE, a conceptual level aircraft design environment, incorporates multiple information sources to analyze unconventional configurations. Developing the capability of producing credible conceptual level design conclusions for futuristic aircraft with advanced technologies is a primary directive. Many software tools for aircraft conceptual design rely upon empirical correlations and other handbook approximations. SUAVE proposes a way to design aircraft featuring advanced technologies by augmenting relevant correlations with physics-based methods. SUAVE is constructed as a modular set of analysis tools written compactly and evaluated with minimal programming effort. Additional capabilities can be incorporated using extensible interfaces and prototyped with a top-level script. The flexibility of the environment allows the creation of arbitrary mission profiles, unconventional propulsion networks, and right-fidelity at right-time discipline analyses. This article will first explain how SUAVE’s analysis capabilities are organized to enable flexibility. Then, it will summarize the analysis strategies for the various disciplines required to evaluate a mission. Of particular interest will be the construction of unconventional energy networks necessary to evaluate configurations such as hybrid-electric commercial transports and solar-electric unmanned aerial vehicles (UAVs). Finally, verification and validation studies will be presented to demonstrate the capabilities of SUAVE, including cases for conventional and unconventional vehicles. While some of these cases will be optimized results, discussion of SUAVE’s interface with optimization will be reserved for a future publication. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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