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薄金属板中声发射源定位的时间-距离域变换

Time-distance domain transformation for Acoustic Emission source localization in thin metallic plates.

作者信息

Grabowski Krzysztof, Gawronski Mateusz, Baran Ireneusz, Spychalski Wojciech, Staszewski Wieslaw J, Uhl Tadeusz, Kundu Tribikram, Packo Pawel

机构信息

AGH University of Science and Technology, Krakow, Poland.

Cracow University of Technology, Krakow, Poland.

出版信息

Ultrasonics. 2016 May;68:142-9. doi: 10.1016/j.ultras.2016.02.015. Epub 2016 Feb 27.

Abstract

Acoustic Emission used in Non-Destructive Testing is focused on analysis of elastic waves propagating in mechanical structures. Then any information carried by generated acoustic waves, further recorded by a set of transducers, allow to determine integrity of these structures. It is clear that material properties and geometry strongly impacts the result. In this paper a method for Acoustic Emission source localization in thin plates is presented. The approach is based on the Time-Distance Domain Transform, that is a wavenumber-frequency mapping technique for precise event localization. The major advantage of the technique is dispersion compensation through a phase-shifting of investigated waveforms in order to acquire the most accurate output, allowing for source-sensor distance estimation using a single transducer. The accuracy and robustness of the above process are also investigated. This includes the study of Young's modulus value and numerical parameters influence on damage detection. By merging the Time-Distance Domain Transform with an optimal distance selection technique, an identification-localization algorithm is achieved. The method is investigated analytically, numerically and experimentally. The latter involves both laboratory and large scale industrial tests.

摘要

用于无损检测的声发射技术专注于分析在机械结构中传播的弹性波。由产生的声波携带的任何信息,再由一组换能器进一步记录,从而可以确定这些结构的完整性。显然,材料特性和几何形状会对结果产生强烈影响。本文提出了一种用于薄板声发射源定位的方法。该方法基于时距域变换,这是一种用于精确事件定位的波数-频率映射技术。该技术的主要优点是通过对研究波形进行相移来进行色散补偿,以获得最准确的输出,从而允许使用单个换能器估计源-传感器距离。还研究了上述过程的准确性和鲁棒性。这包括研究杨氏模量值和数值参数对损伤检测的影响。通过将时距域变换与最佳距离选择技术相结合,实现了一种识别-定位算法。对该方法进行了分析、数值和实验研究。后者包括实验室测试和大规模工业测试。

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