AIAA Aviation 2019 Forum 2019
DOI: 10.2514/6.2019-2984
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Modeling of a Modern Aircraft Through Calibration Techniques

Abstract: NASA is seeking a new baseline aircraft model to assess the state-of-the-art technology for aircraft noise, emissions, and fuel/energy consumption as an update to a 2005 baseline. The process of modeling engine and airframe models as a system has historically required many iterations at NASA between the airframe and engine models. A new internal process presented in this paper contains a method that simultaneously calibrates an airframe and engine model to known data to create an aircraft system model. The wor… Show more

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Cited by 4 publications
(2 citation statements)
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“…The surrogate model was generated using Gaussian process regression methods, which formulates a continuous function for thrust and TSFC based on the nearby points of the discrete NPSS dataset, using a normal distribution [27]. NPSS was chosen as the propulsion system software due to the extensive use of the tool throughout published literature for both existing and unconventional designs [28]- [32], along with the presence of documented validations [32]- [34], combined with the collective experience of contributors NASA and consortium members such as GE Aviation, Boeing, Rolls-Royce, Lockheed Martin and others [35].…”
Section: Cfm56-7b26/3mentioning
confidence: 99%
“…The surrogate model was generated using Gaussian process regression methods, which formulates a continuous function for thrust and TSFC based on the nearby points of the discrete NPSS dataset, using a normal distribution [27]. NPSS was chosen as the propulsion system software due to the extensive use of the tool throughout published literature for both existing and unconventional designs [28]- [32], along with the presence of documented validations [32]- [34], combined with the collective experience of contributors NASA and consortium members such as GE Aviation, Boeing, Rolls-Royce, Lockheed Martin and others [35].…”
Section: Cfm56-7b26/3mentioning
confidence: 99%
“…The surrogate model was generated using Gaussian process regression methods, which formulates a continuous function for thrust and SFC based on the nearby points of the discrete NPSS dataset, using a normal distribution [19]. NPSS was chosen as the propulsion system software due to the extensive use of the tool throughout published literature for both existing and unconventional designs [20]- [24], along with the presence of documented validations [24]- [26], combined with the collective experience of contributors NASA and consortium members such as GE Aviation, Boeing, Rolls-Royce, Lockheed Martin and others [27].…”
Section: Cfm56-7b26/3mentioning
confidence: 99%