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首页> 外文期刊>Journal of Sound and Vibration >Structural uncertainty estimation through a Craig-Bampton Stochastic Method optimisation in satellites structures
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Structural uncertainty estimation through a Craig-Bampton Stochastic Method optimisation in satellites structures

机译:卫星结构中的CRAIG-BAMPTON随机方法优化结构不确定性估算

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摘要

The Craig-Bampton method in micro-vibration analysis is a widely applied tool to reduce computational effort when dealing with complex assemblies. However, structural uncertainties tend to arise and undermine the reliability of deterministic tools such as finite element method. Hence, the aim of this paper is to investigate a stochastic version of the classic Craig-Bampton approach by estimating perturbation parameters directly linked to structural uncertainties. It is shown that the proposed approach can be ultimately configured as an optimisation black box tool to update the finite element model by improving the model correlation with test data. In addition it provides useful insight on the distribution of perturbation parameters to account for structural uncertainties in the analysis. Applications to real satellite platforms are shown to validate the approach with different optimisation functions based on the modal dynamics requirements. (C) 2019 Elsevier Ltd. All rights reserved.
机译:微振动分析中的CRAIG-BAMPTON方法是一种广泛应用的工具,以减少处理复杂组件时的计算工作。 然而,结构的不确定性倾向于出现和破坏确定性工具的可靠性,例如有限元方法。 因此,本文的目的是通过估计与结构不确定性直接相关的扰动参数来研究经典CRAIG-BAMPTON方法的随机版本。 结果表明,所提出的方法最终可以通过改进与测试数据的模型相关性来更新有限元模型来更新有限元模型。 此外,它还为扰动参数分布提供了有用的见解,以解释分析中结构性不确定性。 应用于实际卫星平台的应用程序基于模态动力学要求验证具有不同优化功能的方法。 (c)2019 Elsevier Ltd.保留所有权利。

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