Determining Worst-Case Gust Loads on Aircraft Structures Using an Evolutionary Algorithm
Determining Worst-Case Gust Loads on Aircraft Structures Using an Evolutionary Algorithm
复制标题
使用进化算法确定飞机结构上最坏情况的阵风载荷
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
R. Mehrotra
中科院分区：
文献类型：
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作者：
C. L. Karr;T. Zeiler;R. Mehrotra
确定导致飞机结构临界载荷的阵风特性是一个极其复杂的问题。另一方面，确定这些“最坏情况阵风”对飞机设计师来说非常重要，因为他们需要确保飞机设计成能够承受与这些湍流阵风相关的动态载荷。在本文中，进化算法（EA）被证明是一种可行的方法来解决这个问题。EA优于传统的方法适合于解决线性问题，然后扩展到非线性问题，没有有效的解决方法。
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.