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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.
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.
Original language | English |
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Title of host publication | 59th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference |
Publisher | American Institute of Aeronautics and Astronautics Inc. (AIAA) |
Chapter | AIAA 2018-1681 |
Number of pages | 15 |
ISBN (Electronic) | 9781624105326 |
DOIs | |
Publication status | Published - 8 Jan 2018 |
Event | AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum - Gaylord Palms , Kissimmee, United States Duration: 8 Jan 2018 → 12 Jan 2018 |
Conference
Conference | AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, AIAA SciTech Forum |
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Abbreviated title | SciTech 2018 |
Country/Territory | United States |
City | Kissimmee |
Period | 8/01/18 → 12/01/18 |
Keywords
- aerogust
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Dive into the research topics of 'Efficient Modelling of a Nonlinear Gust Loads Process for Uncertainty Quantification of Highly Flexible Aircraft'. Together they form a unique fingerprint.Projects
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AEROGUST
Gaitonde, A. L. (Principal Investigator), Cooper, J. E. (Co-Principal Investigator), Jones, D. P. (Principal Investigator), Cook, R. G. (Researcher) & Wales, C. J. A. (Researcher)
1/05/15 → 30/09/18
Project: Research, Parent