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Robust design of notching profiles under epistemic model uncertainties

机译:认知模型不确定性下的缺口谱的鲁棒设计

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Spacecraft mechanical tests aim at qualifying structures with respect to a launcher flight environment and investigating the finite element model (FEM) ability to correctly represent experimental measurements. An input spectrum is specified by the launcher authority to encompass flight events, but in order to avoid over testing in frequency bands with highly excited modes due to the presence of huge lack of knowledge in the non-validated model, it must be locally decreased. This model-based design is a critical issue in the space field and must be defined early in order to initiate as soon as possible discussions between launcher authorities and subcontractors. This discussion revolves around the following dilemma: how conservative can the loading be and still be safe for the subsystem interfaces? This paper will propose a global strategy for the model-based design of notching profiles which accounts for epistemic modeling uncertainties using an info-gap approach. The latter provides a generic framework for evaluating the performances of profile designs as well as addressing issues of lack of knowledge in this approach. The proposed methodologies will be illustrated on an academic test case, modeling the first and second longitudinal modes for a medium-size scientific satellite. Solutions will then be discussed in order to turn this methodology applicable on real industrial satellite structures.
机译:航天器机械测试旨在相对于发射器飞行环境的合格结构,并调查有限元模型(FEM)能力正确代表实验测量。引擎机构指定了一个输入频谱来包含飞行事件,但为了避免由于在未经验证的模型中存在巨大知识的巨大知识而在具有高度激励模式的频段中进行测试,必须在本地下降。基于模型的设计是空间字段中的一个关键问题,必须尽快定义,以便在发射机构和分包商之间尽快讨论。本讨论围绕以下困境:如何保守加载,并且仍然是安全的子系统接口?本文将提出一种全球策略,即缺口谱的模型设计,其使用信息间隙方法考虑了认知模型的不确定性。后者提供了一种用于评估配置文件设计的性能的通用框架以及解决这种方法中缺乏知识问题的问题。所提出的方法将在学术测试案例上说明,为中型科学卫星建模第一和第二纵向模式。然后将讨论解决方案以便在真正的工业卫星结构上适用这种方法。

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