Acoustic Emission-Based Structural Health Monitoring for Future Lunar Pipelines

Mario Escarcega, Meghan Cephus, Skyler Hughes, Nakii Tsosie, Kimberly Kelso, Raechelle Sandoval, A. Ebrahimkhanlou
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Abstract

This paper explores the use of acoustic-based structural health monitoring (SHM) in lunar habitats to detect damage and failure in pipelines used for resource transportation. Acoustic-based SHM on Earth is a well-studied field of research. Various studies validate the effectiveness of acoustic-based SHM to detect, locate, and characterize damage in pipelines. Relevant literature shows that little to no research has been conducted on SHM regarding simulated lunar pipelines. In this paper, acoustic emission (AE) waveforms were collected and analyzed for aluminum pipe sections that were damaged from three separately simulated lunar conditions. Experiments simulating lunar regolith abrasion, internal galvanic corrosion, and irradiation were conducted on aluminum pipes. Pipes on the lunar surface will be constantly exposed to radiation, abrasion, and corrosion. As such, it is important to detect, localize, and predict damage resulting from these lunar hazards. The waveform data were clustered based on hit-driven properties. These clusters showed distinct differences between the datasets, which allowed for comparison and characterization of the data. It was found that variations in cluster shape and placement in peak, centroid, and average frequency could reliably distinguish between corrosive and abrasive processes. Understanding the differences in the data that contribute to distinctions between event types, and those that do not, will enable AE monitoring systems to better identify, characterize, and predict lunar pipeline failure.
基于声发射的未来月球管道结构健康监测
本文探讨了在月球栖息地使用基于声学的结构健康监测(SHM)来检测用于资源运输的管道的损坏和故障。地球上基于声学的SHM是一个被充分研究的研究领域。各种研究证实了基于声学的SHM在检测、定位和表征管道损伤方面的有效性。相关文献表明,模拟月球管道的SHM研究很少甚至没有。本文收集并分析了三种不同模拟月球条件下铝管材损伤的声发射波形。对铝管进行了月壤磨损、内电蚀和辐照模拟实验。月球表面的管道将不断暴露在辐射、磨损和腐蚀中。因此,探测、定位和预测这些月球危害造成的损害是很重要的。波形数据基于命中驱动属性聚类。这些聚类显示了数据集之间的明显差异,从而可以对数据进行比较和表征。发现簇形的变化和峰值、质心和平均频率的位置可以可靠地区分腐蚀和磨蚀过程。了解有助于区分事件类型和非事件类型的数据差异,将使声发射监测系统能够更好地识别、表征和预测月球管道故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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