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STATIC AND DYNAMIC RELIABILITY ANALYSIS OF INTEGRAL SATELLITE IN VIEW OF LOW FAILURE PROBABILITY

机译:低故障概率视野整体卫星的静态和动态可靠性分析

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In conventional safety-factor based design the un- certainty about structural and loading parameters is accounted for by means of safety factors which are applied in combination with the results of a deterministic analysis. In this case, however, the resulting degree of conservatism remains unquantified. This shortcoming is avoided in a probabilistic framework, where the uncertainties in material and geometric properties and in the loading are quantified in terms of probability distributions and propagated to the structural responses upon which the design is based (e.g. stresses). The application of probabilistic methods to structural design of large-scale structures remains a challenging task, because high levels of reliability imply the necessity to calculate very low failure probabilities. The associated difficulties increase in the presence of a high number of uncertain structural parameters, e.g. in the case of FE models of large-scale structures with many thousands DOF's, the performance of traditional methodologies for reliability analysis quickly deteriorates. Recently, a novel method for the estimation of low failure probabilities has been introduced. The method has been termed "Line Sampling" and hinges on the efficient, approximate estimation of the gradient in the space of uncertain parameters and the evaluation of samples along lines that are parallel to the approximate gradient. With this approach the estimation of sufficiently low failure probabilities (in the range of 10{sup}(-6)) is feasible at a tolerable computational cost. In the present paper, the application of this newly developed variance reduction technique is demonstrated in connection with ESA's INTEGRAL satellite. The FE model consists of roughly 120,000 DOF's and the number of uncertain structural parameters amounts to approximately 1300. Two load cases are considered in the present study: the first is a static load case, in which the critical response quantity is given by the force between the satellite and its solar panels; the second load case is dynamic and involves the frequency response of the satellite to harmonic excitation in the range between 5 and 100 Hz. The obtained results are very significant in that they show the feasibility of a full scale probabilistic reliability analysis, in a design context for aerospace structures.
机译:在传统的安全因子的设计中,通过与确定性分析结果相结合应用的安全因子来占结构和装载参数的不确定。然而,在这种情况下,所得到的保守度仍然是无关的。在概率框架中避免这种缺点,其中材料和几何性质和负载中的不确定性在概率分布方面被量化,并传播到设计基于设计的结构响应(例如,应对压力)。概率方法在大规模结构的结构设计中的应用仍然是一个具有挑战性的任务,因为高水平的可靠性意味着需要计算非常低的故障概率。相关困难在很多不确定的结构参数存在下增加,例如,在具有数千个DOF的大型结构的FE模型的情况下,传统方法对于可靠性分析的性能迅速恶化。最近,已经引入了一种用于估计低故障概率的新方法。该方法已被称为“线采样”和铰链对不确定参数空间的梯度的有效,近似估计,以及沿着与近似梯度平行的线的样品的评估。通过这种方法,估计足够低的故障概率(在10 {sup}( - 6)范围内)以可容忍的计算成本可行。在本文中,与ESA的整体卫星有关,证明了这种新开发的方差减少技术的应用。 FE模型由大约120,000 DOF和不确定的结构参数数量组成约为约1300.在本研究中考虑了两种负载案例:第一个是静态载荷案例,其中临界响应量由之间的力给出卫星及其太阳能电池板;第二负载壳体是动态的,涉及卫星的频率响应在5到100Hz之间的范围内谐振激发。所获得的结果非常显着,因为它们展示了航空航天结构的设计背景下全规模概率可靠性分析的可行性。

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