加强复合材料飞机面板损伤监测方法升级的挑战

A.A.R. Broer, Nan Yue, G. Galanopoulos, R. Benedictus, T. Loutas, D. Zarouchas
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引用次数: 2

摘要

基于状态的维护的健康管理方法通常使用在实验测试期间收集的传感器数据来开发。在实验室进行的大多数测试都集中在钢板或平板上,而结构部件测试则不太常见。作为研究人员,我们经常认为我们的实验测试代表了最终应用中的结构,并认为开发的方法可转移到这些现实生活中的结构中。然而,在它们的最终应用中,如风力涡轮机或飞机的结构通常更大,更复杂,可能包含各种组装细节,并且在复杂的条件下加载。这些因素可能影响已开发的诊断和预后方法的性能,因此不应忽视。在我们的工作中,我们考虑了加强复合材料板的结构健康监测(SHM)方法的各个方面,这些板的设计灵感来自飞机机翼结构。为此,我们研究了两种级别的面板,即单加筋和多加筋复合面板,其中我们认为单加筋面板是多加筋面板的代表性较低级别版本。在两个复合材料面板上安装了多个SHM传感器(声发射、兰姆波、应变传感),以监测测试过程中的损伤传播。我们识别和分析挑战,并进一步讨论在升级诊断和预后期间必须考虑的因素,从而帮助开发基于状态的维护的健康管理方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ON THE CHALLENGES OF UPSCALING DAMAGE MONITORING METHODOLOGIES FOR STIFFENED COMPOSITE AIRCRAFT PANELS
Health management methodologies for condition-based maintenance are often developed using sensor data collected during experimental tests. Most tests performed in laboratories focus on a coupon level or flat panels, while structural component testing is less commonly seen. As researchers, we often consider our experimental tests to be representative of a structure in a final application and consider the developed methodologies to be transferrable to these real-life structures. Yet, structures in their final applications such as wind turbines or aircraft are often larger, more complex, might contain various assembly details, and are loaded in complex conditions. These factors might influence the performance of developed diagnostic and prognostic methodologies and should therefore not be ignored. In our work, we consider the aspects of upscaling structural health monitoring (SHM) methodologies for stiffened composite panels with the design of the panels inspired by an aircraft wing structure. For this, we examine two levels of panels, namely a single- and multi-stiffener composite panel, where we consider the single-stiffener panel to be a representative lower-level version of the multi-stiffener panel. Multiple SHM sensors (acoustic emission, Lamb waves, strain sensing) were installed on both composite panels to monitor damage propagation during testing. We identify and analyse challenges and further discuss considerations that must be taken during upscaling of diagnostics and prognostics, and with that, aid in the development of health management methodologies for condition-based maintenance.
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