低成本结构健康监测系统在大规模机身测试中的工业应用

Ceri A Middleton, Khurram Amjad, Richard J Greene, Erwin Hack, Linden Harris, André Kupferschmid, Peter R Lambert, Eann A Patterson
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引用次数: 0

摘要

在为期数周的机翼疲劳试验和为期数月的机身加压试验的全面测试中,部署了一个小型、新颖、集成的 SHM 系统。补充性无损检测测量技术与可见光和红外光学传感器以及电阻应变计的输入相结合。传感器单元部署在感兴趣的区域,集成板计算机可进行近乎实时的数据处理。输出是数字图像相关和热弹性应力分析系统的全场测量数据集。使用正交分解法成功地量化了这些数据集在相关区域的变化,并表明了结构状况的变化。这些案例研究的结果表明,该系统可以成功地部署在机身结构内空间受限的区域,以监测裂纹的增长。该系统成本低、占地面积小,可以安装类似的传感器阵列,用于测试和在役数据收集。近乎实时的数据处理可及时向维修工程师报告,为维修或运行决策提供信息。
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Industrial application of a low-cost structural health monitoring system in large-scale airframe tests
A small, novel, integrated SHM system has been deployed during full-scale testing of a wing fatigue test for several weeks and a fuselage pressurisation test for several months. Complementary NDE measurement techniques were combined, with inputs from visible and infrared optical sensors, as well as resistance strain gauges. Sensor units were deployed at regions of interest and integrated board computers permitted near real-time data processing. The outputs were full-field measurement datasets from digital image correlation and thermoelastic stress analysis systems. Changes in these datasets in the regions of interest were successfully quantified using orthogonal decomposition and were indicative of changes in the condition of the structure. The results from these case studies demonstrate that this system can be successfully deployed in spatially restricted areas within airframe structures to monitor crack growth. The low cost and small footprint of the system presents the opportunity for installation of arrays of similar sensors for both test and in-service data collection. Near real-time data processing would allow timely reporting to service engineers, informing maintenance or operational decisions.
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