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A reliability-based framework for fatigue damage prognosis of composite aircraft structures

机译:基于可靠性的复合材料飞机结构疲劳损伤预测框架

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摘要

The extensive use of lightweight composite materials in composite aircraft structures drastically increases the sensitivity to both fatigue- and impact-induced damage of their critical structural components during their service life. Within this scenario, an integrated hardware-software system that is capable of monitoring the composite airframe, assessing its structural integrity, identifying a condition-based maintenance, and predicting the remaining service life of its critical components is therefore needed. As a contribution to this goal, this paper presents the theoretical basis of a novel and comprehensive probabilistic methodology for predicting the remaining service life of adhesively bonded joints within the structural components of composite aircraft, with emphasis on a composite wing structure. Nondestructive evaluation techniques and recursive Bayesian inference are used to (i) assess the current state of damage of the system and (ii) update the joint probability distribution function (PDF) of the damage extents at various locations. A probabilistic model for future aerodynamic loads and a damage evolution model for the adhesive are then used to stochastically propagate damage through the joints and predict the joint PDF of the damage extents at future times. This information is subsequently used to probabilistically assess the reduced (due to damage) global aeroelastic performance of the wing by computing the PDFs of its flutter velocity and the velocities associated with the limit cycle oscillations of interest. Combined local and global failure criteria are finally used to compute lower and upper bounds for the reliability index of the composite wing structure at future times.
机译:轻质复合材料在复合材料飞机结构中的广泛使用极大地提高了其使用寿命期间对关键结构部件的疲劳和冲击引起的损坏的敏感性。因此,在这种情况下,需要一个集成的硬件软件系统,该系统能够监视复合机体,评估其结构完整性,识别基于状态的维护并预测其关键组件的剩余使用寿命。为了实现这一目标,本文提出了一种新颖而全面的概率方法论的理论基础,该方法可预测复合材料飞机结构部件内胶接接头的剩余使用寿命,重点是复合材料机翼结构。使用非破坏性评估技术和递归贝叶斯推理来(i)评估系统的当前损坏状态,(ii)更新各个位置的损坏程度的联合概率分布函数(PDF)。然后,使用未来气动负载的概率模型和胶粘剂的损伤演化模型,通过关节随机传播损伤,并预测将来损伤程度的关节PDF。该信息随后用于通过计算机翼的扑动速度和与目标极限循环振荡相关的速度的PDF概率地评估机翼整体(由于损坏)的降低的整体气动弹性性能。最终,结合使用局部和全局失效准则来计算复合机翼结构在未来的可靠性指标的上下限。

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