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Probabilistic Design Analysis of Bellows Type Pogo Accumulator

机译:波纹管型Pogo蓄能器的概率设计分析

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Pogo is a nick-name for a fluid-structure interaction phenomenon in which the vehicle structural modes can interact with the propulsion fluid system modes. The most common approach to preventing pogo stability problems is to use an accumulator to decrease the frequency of the fluid system mode to well below the vehicle structural mode frequency. This paper describes some of the analysis perfomed on a bellows type pogo accumulator designed for the Antares vehicle. One of the challenges of the bellows type pogo accumulator is managing the compliance of the accumulator without allowing the bellows device to ever reach either the compression or extension hardstops. It is desirable to demonstrate that, for all possible combinations of variables, there is no chance of the bellows reaching the hardstops. At one point during this development program, the worst possible combinations of variables demonstrated some risk of reaching the hardstops during the main engine cut off event. To evaluate the likelihood of this, a probabilistic analysis was completed, focused on bellows motion during the engine cut off event. Using a probabilistic approach, it was possible to demonstrate that hardstop contact was an extremely low probability event. However, before the design was complete, new updates to the analysis resulted in more margin using worst case combinations, thus negating the need for the probabilistic approach. The approach documented in this paper remains a useful example of the potential necessity of probabilistic methods, despite not being finally implemented in this design.
机译:Pogo是用于流体结构相互作用现象的昵称,其中车辆结构模式可以与推进流体系统模式相互作用。预防Pogo稳定性问题的最常见方法是使用蓄能器将流体系统模式的频率降低到低于车辆结构模式频率。本文介绍了在设计用于抵达车辆的波纹管型Pogo蓄电池上穿过的一些分析。波纹管型Pogo累计器的一个挑战是管理累加器的符合性而不允许波纹管设备达到压缩或扩展硬杆。希望证明,对于变量的所有可能组合,没有机会到达硬杆的波纹管。在此开发计划期间的一点,变量最糟糕的组合表明了在主发动机切断事件期间到达硬杆的一些风险。为了评估这一点的可能性,完成了概率分析,在发动机切断事件期间聚焦波纹管运动。使用概率方法,可以证明HardStop接触是极低的概率事件。但是,在设计完成之前,对分析的新更新导致了使用最坏情况的更高的余量,从而否定了对概率方法的需求。尽管最终在这种设计中没有实现,但本文记录的方法仍然是概率方法的潜在必要性的一种有用示例。

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