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Determining worst-case gust loads on aircraft structures using an evolutionary algorithm

delete2004-03-01
delete9
PRE
AI
C
Charles L. Karr
T
T. Zeiler
R
R. Mehrotra
DOI:10.1023/B:APIN.0000013336.08029.0cdelete
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摘要

摘要

En 中文
Determining the characteristics of wind gusts that result in the critical loading of an aircraft structure is an extremely complex problem. On the other hand, identifying these worst-case gusts is terribly important for aircraft designers because they need to ensure that aircraft are designed to withstand the dynamic loads associated with these turbulent gusts. In this paper an evolutionary algorithm (EA) is shown to be a feasible approach to solving this problem. The EA outperforms a traditional method suitable for solving linear problems, then is extended to nonlinear problems for which there is no effective solution methodology.
Keyword:
evolutionary algorithm
wind gust
turbulence
aircraft design
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Applied Intelligence 封面图
Applied Intelligence
IF:
3.5
论文数:
7.6K
被引数:
1.7W

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