Abstract
This paper expands on the work previous carried out by authors in exploring the role Reduced Order Models (ROMs) can play in the early stages of the aircraft design cycle, particularly in respect of modelling the response to atmospheric gusts. Gusts have a large impact on the development of aircraft due to their prevalence among the critical design cases for loads. Despite this, the traditional methods of modelling such cases are restricted due to high costs associated with both wind tunnel testing and Computational Fluid Dynamics (CFD) simulation. This is particularly problematic and restrictive during those early design stages where designs may change significantly and frequently. ROMs have been shown to be capable of reproducing gust responses at lower costs compared to the high fidelity simulations, and previous work presented by the authors introduced a number of techniques that could be used to make the process of gust ROM creation more efficient without loss of accuracy. This paper explores the strengths and weaknesses of these approaches in more detail and introduces further new techniques to improve efficiency. In particular this paper will consider more complex test cases which better reflect the industrial demands upon such a tool which is likely to be used in the design of aircraft.
Original language | English |
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Title of host publication | 35th AIAA Applied Aerodynamics Conference |
Subtitle of host publication | AIAA AVIATION Forum |
Publisher | American Institute of Aeronautics and Astronautics Inc. (AIAA) |
Number of pages | 21 |
ISBN (Electronic) | 9781624105012 |
DOIs | |
Publication status | Published - 5 Jun 2017 |
Event | 35th AIAA Applied Aerodynamics Conference - Sheraton Denver Downtown Hotel, Denver, CO, United States Duration: 5 Jun 2017 → 9 Jun 2017 Conference number: 35 http://aviation.aiaa.org/AppliedAero/ |
Conference
Conference | 35th AIAA Applied Aerodynamics Conference |
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Country/Territory | United States |
City | Denver, CO |
Period | 5/06/17 → 9/06/17 |
Internet address |
Keywords
- Reduced Order Modelling (ROM)
- Gust
- Early Design