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Efficient Modelling of a Nonlinear Gust Loads Process for Uncertainty Quantification of Highly Flexible Aircraft

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication59th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
Publisher or commissioning bodyAmerican Institute of Aeronautics and Astronautics Inc. (AIAA)
ChapterAIAA 2018-1681
Number of pages15
ISBN (Electronic)9781624105326
DOIs
DateAccepted/In press - 4 Dec 2017
DatePublished (current) - 8 Jan 2018
EventAIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum - Gaylord Palms , Kissimmee, United States
Duration: 8 Jan 201812 Jan 2018

Conference

ConferenceAIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum
Abbreviated titleSciTech 2018
CountryUnited States
CityKissimmee
Period8/01/1812/01/18

Abstract

An efficient gust loads process is presented which can predict worst case loads on a highly flexible aircraft, for use in uncertainty quantification. This process generates a neural network surrogate model of an aeroelastic system using linearised system equations to rapidly determine worst gust cases, including the capability to model atypical gust excitations. The surrogate model is used to produce a reduced set of identified gust cases which cause the largest loads; these cases are then run in the nonlinear code. Uncertainty quantification of this gust process is carried out using polynomial chaos expansion (PCE) techniques, considering uncertain structural properties. Convergence studies of the gust
loads using PCE indicate significantly fewer samples are required than would be for a Monte Carlo simulation. It is demonstrated how oblique gusts exceed the loads envelope from a traditional gust process, justifying the need to consider alternative gust excitations, but interestingly for the particular test case in this work, uncertain structural properties can be seen to have little effect on the uncertainty of the static g and gust loads.

    Research areas

  • aerogust

Event

AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum

Abbreviated titleSciTech 2018
Duration8 Jan 201812 Jan 2018
Location of eventGaylord Palms
CityKissimmee
CountryUnited States
Degree of recognitionInternational event

Event: Conference

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via AIAA at https://arc.aiaa.org/doi/10.2514/6.2018-1681 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 853 KB, PDF document

DOI

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