Bhandari Binayak, Maung Phyo Thu, Prusty Gangadhara B
School of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Australian Composite Manufacturing CRC Ltd., Sydney, NSW 2052, Australia.
Sensors (Basel). 2024 May 27;24(11):3450. doi: 10.3390/s24113450.
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.
传统上,到达时间差(TDOA)方法已被证明在定位声发射(AE)源和检测结构缺陷方面是有效的。然而,当应用于各向异性材料时,尤其是在纤维增强复合结构的情况下,其适用性受到限制。为此,本文基于一种两步法引入了一种新颖的基于响应面的复合材料定位(COLORS)算法,用于适用于层压复合结构的精确AE源定位。利用从包括AE速度剖面、衰减率、距离和方向等关键参数开发的响应面,该方法能够提供精确的AE源预测。与依赖理论AE传播速度的传统TDOA方法相比,将更新后的速度数据纳入算法可产生更高的定位精度。发现COLORS和TDOA的平均绝对误差(MAE)分别为6.97毫米和8.69毫米。同样,COLORS和TODA方法的均方根误差(RMSE)分别为9.24毫米和12.06毫米,这表明在源定位精度方面COLORS算法具有更好的性能。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压复合结构中AE定位的重大进展,对改进复合结构的损伤检测和结构健康监测具有潜在意义。