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Co-located triangulation for damage position identification from a single SHM node

机译:并置三角剖分,可从单个SHM节点识别损坏位置

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A fundamental limitation for current Structural Health Monitoring (SHM) systems is the need for distributed synchronous sensors to determine precise damage location using traditional triangulation methods. Accuracy is dictated by sensor density (quantity and proximity), which drives complexity, weight and cost to resolve reliable position. This paper introduces a patent-pending real-time method to predict accurate damage location from a single SHM node. This co-located triangulation method consists of novel sensors, algorithms and hardware to achieve a significantly more efficient means of localizing damage. Results are presented for proof-of-concept experiments on an aluminum plate using guided waves, as well as theoretical accuracy and limitations for the method. Finally, a description of a prototype under development is presented. SHM technology will be critical to reducing the overall cost of ownership for air and spacecraft, and the present research could play an important role in implementing such a system feasibly, practically and efficiently.
机译:当前结构健康监测(SHM)系统的一个基本限制是需要使用分布式同步传感器来使用传统的三角测量方法确定精确的损伤位置。精度由传感器密度(数量和接近度)决定,传感器密度提高了解决复杂位置所需的复杂性,重量和成本。本文介绍了一种正在申请专利的实时方法,可以从单个SHM节点预测准确的损坏位置。这种位于同一地点的三角剖分方法由新颖的传感器,算法和硬件组成,以实现更为有效的定位损坏的方法。给出了使用导波在铝板上进行概念验证实验的结果,以及该方法的理论准确性和局限性。最后,介绍了正在开发的原型。 SHM技术对于降低航空器和航天器的总体拥有成本至关重要,目前的研究可能在切实可行,切实有效地实施这样的系统中发挥重要作用。

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