A novel multi-segment path analysis based on a heterogeneous velocity model for the localization of acoustic emission sources in complex propagation media

被引:47
|
作者
Gollob, Stephan [1 ]
Kocur, Georg Karl [2 ]
Schumacher, Thomas [3 ]
Mhamdi, Lassaad [3 ]
Vogel, Thomas [1 ]
机构
[1] ETH, Inst Struct Engn, Stefano Franscini Pl 5, CH-8093 Zurich, Switzerland
[2] Univ Stuttgart, Inst Appl Mech, Pfaffenwaldring 7, D-70569 Stuttgart, Germany
[3] Portland State Univ, Civil & Environm Engn, Engn Bldg, Portland, OR 97201 USA
基金
瑞士国家科学基金会;
关键词
Acoustic emission; Source location; Numerical model; Reinforced concrete; Heterogeneous velocity model; Multi-segment wave propagation path;
D O I
10.1016/j.ultras.2016.09.024
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
In acoustic emission analysis, common source location algorithms assume, independently of the nature of the propagation medium, a straight (shortest) wave path between the source and the sensors. For heterogeneous media such as concrete, the wave travels in complex paths due to the interaction with the dissimilar material contents and with the possible geometrical and material irregularities present in these media. For instance, cracks and large air voids present in concrete influence significantly the way the wave travels, by causing wave path deviations. Neglecting these deviations by assuming straight paths can introduce significant errors to the source location results. In this paper, a novel source localization method called FastWay is proposed. It accounts, contrary to most available shortest path-based methods, for the different effects of material discontinuities (cracks and voids). FastWay, based on a heterogeneous velocity model, uses the fastest rather than the shortest travel paths between the source and each sensor. The method was evaluated both numerically and experimentally and the results from both evaluation tests show that, in general, FastWay was able to locate sources of acoustic emissions more accurately and reliably than the traditional source localization methods. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:48 / 61
页数:14
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