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

被引：37

作者：

Grabowski, Krzysztof ^{[1
]}

Gawronski, Mateusz ^{[1
]}

Baran, Ireneusz ^{[2
]}

Spychalski, Wojciech ^{[3
]}

Staszewski, Wieslaw J. ^{[1
]}

Uhl, Tadeusz ^{[1
]}

Kundu, Tribikram ^{[4
]}

Packo, Pawel ^{[1
]}

机构：

[1] AGH Univ Sci & Technol, PL-30059 Krakow, Poland

[2] Cracow Univ Technol, PL-30084 Krakow, Poland

[3] Warsaw Univ Technol, Warsaw, Poland

[4] Univ Arizona, Tucson, AZ USA

来源：

ULTRASONICS | 2016年 / 68卷

关键词：

Acoustic Emission; Wave propagation; Dispersion; Time-distance domain transform; Source localization; IMPACT; LOCATION;

D O I：

10.1016/j.ultras.2016.02.015

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

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. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：142 / 149

页数：8

共 24 条

[1] Identification of material properties - efficient modelling approach based on guided wave propagation and spatial multiple signal classification [J].