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PARAMETER BASED FATIGUE LIFE ANALYSIS FOR F-18 AIRCRAFT

机译:F-18飞机的参数基于疲劳寿命分析

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A flight parameter based fatigue life analysis has been developed for structurally critical details of the F-18 aircraft. The analysis uses as an input the data stored from the standard aircraft flight control system on each flight allowing individual aircraft fatigue tracking. The stored data is used to model stress history of the structurally critical details by using artificial neural networks. In the analysis development phase, flight measurement data from 22 flights of an operational loads measurement aircraft has been used. That data included strain gauge responses near analysed details. Results of a fuselage bulkhead, wing front and rear spars and vertical tail attachment area are presented in this paper showing a useful accuracy for an aircraft operator. The average errors in predicted fatigue life for a set of nine flights were: bulkhead 15%, wing front spar 28%, wing aft spar shear tie 38% and vertical tail root 187%. The errors in the damage for the same set of flight were -13%, +17%, -24% and -3%, indicating that the largest modelling errors occur on flights with low fatigue life consumption and the errors compensate each others between the flights.
机译:基于飞行参数的疲劳寿命分析已经开发用于F-18飞机的结构关键细节。分析用作从每次飞机上的标准飞机飞行控制系统存储的输入,允许单独的飞机疲劳跟踪。存储的数据用于通过使用人工神经网络来模拟结构上关键细节的应力历史。在分析开发阶段,已经使用了22个运行负载测量飞机的飞行测量数据。该数据包括在分析细节附近的应变仪响应。本文提出了机身舱壁,翼前和后翼梁和垂直尾部附件区域的结果,示出了飞机操作员的有用精度。预测一组9个航班的预测疲劳寿命的平均误差是:舱壁15%,翼前脚翼28%,翼尾侧剪剪扎带38%和垂直尾部根部187%。相同一组飞行损坏的误差为-13%,+ 17%,-24%和-3%,表明在疲劳寿命消耗低的航班上发生最大的建模误差,并且误差会补偿彼此之间的误差航班。

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