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Aircraft structures under acoustic loads:probabilistic methods in fatigue modeling

机译:声载荷下的飞机结构:疲劳模型中的概率方法

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Probabilistic methods for forecasting development of fatigue damages of thin-walled aircraft structures, which suffer fatigue failures resulted from engine jet noise, pressure fluctuations inturbulent boundary layer or other high-level wide-band loads in acoustic frequency range, are discussed.These methods are based on capabilities of Markov networks. Development of fatigue damages isrepresented by continuous time, discrete state Markov processes with piece-wise constant interstate transitionrates. These rates are used as free parameters to be identified during network training. The method of chisquareminimum is used to identify unknown network parameters, with observed and expected histograms ofdamage distributions being compared at the given time points. The technique in question is based on theaccumulated observations only, without using physical theories of crack propagation. It gives new facilitiesfor estimation of destruction processes in the aircraft structures under acoustic loads since do not use accurate load characteristics that are usually unknown and may be essentially changed at different flight regimes.
机译:讨论了预测薄壁飞机结构疲劳损伤发展的概率方法,该方法会遭受发动机喷气噪声,压力波动,边界层湍流或其他声频范围内的高宽带载荷引起的疲劳破坏。这些方法基于马尔可夫网络的功能。疲劳损伤的发展表现为连续时间,离散状态的马尔可夫过程以及分段的恒定状态间过渡速率。这些速率用作网络训练期间要识别的免费参数。卡方最小方法用于识别未知的网络参数,并在给定的时间点比较观察到的和预期的破坏分布直方图。所讨论的技术仅基于累积的观察结果,而不使用裂纹扩展的物理理论。由于没有使用通常未知的准确载荷特性,并且在不同的飞行状态下可能会发生变化,因此它为估算声载荷下飞机结构的破坏过程提供了新的便利。

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