关键词: acoustic emission composite laminates least-square method localization response surface time difference of arrival velocity attenuation

来  源:   DOI:10.3390/s24113450   PDF(Pubmed)

Abstract:
The time difference of arrival (TDOA) method has traditionally proven effective for locating acoustic emission (AE) sources and detecting structural defects. Nevertheless, its applicability is constrained when applied to anisotropic materials, particularly in the context of fiber-reinforced composite structures. In response, this paper introduces a novel COmposite LOcalization using Response Surface (COLORS) algorithm based on a two-step approach for precise AE source localization suitable for laminated composite structures. Leveraging a response surface developed from critical parameters, including AE velocity profiles, attenuation rates, distances, and orientations, the proposed method offers precise AE source predictions. The incorporation of updated velocity data into the algorithm yields superior localization accuracy compared to the conventional TDOA approach relying on the theoretical AE propagation velocity. The mean absolute error (MAE) for COLORS and TDOA were found to be 6.97 mm and 8.69 mm, respectively. Similarly, the root mean square error (RMSE) for COLORS and TODA methods were found to be 9.24 mm and 12.06 mm, respectively, indicating better performance of the COLORS algorithm in the context of source location accuracy. The finding underscores the significance of AE signal attenuation in minimizing AE wave velocity discrepancies and enhancing AE localization precision. The outcome of this investigation represents a substantial advancement in AE localization within laminated composite structures, holding potential implications for improved damage detection and structural health monitoring of composite structures.
摘要:
传统上,到达时间差(TDOA)方法已被证明可有效地定位声发射(AE)源和检测结构缺陷。然而,当应用于各向异性材料时,其适用性受到限制,特别是在纤维增强复合材料结构的背景下。作为回应,本文介绍了一种基于两步法的响应面(COLORS)算法的新型复合材料局部化方法,用于精确的AE源定位,适用于层状复合材料结构。利用从关键参数开发的响应面,包括AE速度剖面,衰减率,距离,和方向,所提出的方法提供了精确的声发射源预测。与依赖于理论AE传播速度的常规TDOA方法相比,将更新的速度数据结合到算法中可产生更高的定位精度。颜色和TDOA的平均绝对误差(MAE)分别为6.97mm和8.69mm,分别。同样,颜色和TODA方法的均方根误差(RMSE)分别为9.24mm和12.06mm,分别,表明COLORS算法在源定位精度方面具有更好的性能。这一发现强调了AE信号衰减在最小化AE波速度差异和提高AE定位精度方面的重要性。这项研究的结果代表了层状复合结构中AE定位的实质性进步,对改善复合材料结构的损伤检测和结构健康监测具有潜在意义。
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