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- W2330353669 abstract "Complex aircraft systems have properties that are both multidisciplinary and highly interdependent. Multidisciplinary modeling of these complex systems requires that each discipline inform and be informed by the other disciplines simultaneously. Furthermore, multifidelity modeling, where any single discipline model of varying fidelity may be used interchangeably with the other discipline models of non-similar fidelity, requires that discipline models of all fidelities be capable of interacting with the multidisciplinary system in the same way. This paper describes a Bayesian-based multifidelity design optimization framework for a medium-altitude remotely piloted aircraft. The various disciplines and corresponding fidelities represented in the design problem, structures, propulsion, and aerodynamics, are briefly described in their context for interaction with the framework. Finally, the results of the system design tools at varying fidelities are described as it pertains to aircraft design and optimization." @default.
- W2330353669 created "2016-06-24" @default.
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- W2330353669 date "2012-09-11" @default.
- W2330353669 modified "2023-09-27" @default.
- W2330353669 title "Multifidelity Modeling Framework for Bayesian-Based Multidisciplinary Aircraft Design Optimization" @default.
- W2330353669 cites W2156736169 @default.
- W2330353669 doi "https://doi.org/10.2514/6.2012-5691" @default.
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