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Reliability modelling for rotorcraft component fatigue life prediction with assumed usage

机译:假设使用情况下的旋翼机零件疲劳寿命预测可靠性模型

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Fatigue life is a random variable. Thus, the reliability of a conservative fatigue life prediction for a component in the helicopter dynamic system needs to be substantiated. A standard analytical substantiation method uses averaged manoeuvre loads instead of seeing manoeuvre loads as a random variable whose distribution is estimated with limited precision. This simplification may lead to inaccuracies. A new simulation-based method is developed to conservatively predict fatigue life, while also accounting for the full random distribution and uncertainty of manoeuvre loads. Both methods fully account for uncertain fatigue strength but assume that the mission profile is known or can at least be conservatively estimated. Simulations under synthetic but realistic engineering conditions demonstrate that both methods may be used for accurate substantiation of conservative fatigue life predictions. The simulations also demonstrate that, under the tested conditions, uncertainties from manoeuvre loads may be neglected in fatigue life substantiations as the resulting error is not significant with respect to uncertainties in component fatigue strength.
机译:疲劳寿命是一个随机变量。因此,需要确定直升机动力系统中部件的保守疲劳寿命预测的可靠性。一种标准的分析证实方法使用平均机动负荷,而不是将机动负荷视为随机变量,其分布估计精度有限。这种简化可能导致不准确。开发了一种基于模拟的新方法来保守地预测疲劳寿命,同时也考虑了随机载荷的完全随机分布和不确定性。两种方法都充分考虑了不确定的疲劳强度,但假设任务概况已知或至少可以保守估计。在合成但实际的工程条件下进行的仿真表明,这两种方法均可用于准确证实保守的疲劳寿命预测。仿真还表明,在测试条件下,在疲劳寿命证明中可以忽略机动载荷的不确定性,因为相对于组件疲劳强度的不确定性而言,由此产生的误差并不明显。

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