A comparative evaluation of piezoelectric sensors for acoustic emission-based impact location estimation and damage classification in composite structures

Author(s):  
Bibhisha Uprety ◽  
Sungwon Kim ◽  
V. John Mathews ◽  
Daniel O. Adams
2019 ◽  
Vol 18 (5-6) ◽  
pp. 1652-1668
Author(s):  
Jingru Zhou ◽  
V John Mathews ◽  
Daniel O Adams

In this article, an acoustic emission–based impact location estimation algorithm is presented for use with composite structures. The algorithm is formulated as a constrained optimization problem by utilizing sensor locations and times of arrival of impact signals at the sensors. The impact locations are estimated without any information about wave propagation velocity in the structure. A modification of the algorithm to overcome difficulties produced by waveform reflections enables accurate estimation of impact locations close to the structure’s boundaries. The capability of this algorithm to accurately estimate impact locations is demonstrated numerically and experimentally. Experiments performed at different temperatures showed that the algorithm is robust to temperature changes. An automatic time-of-arrival estimation method is also presented. The performance capabilities of the method and its computational simplicity make this approach an attractive alternative to other methods available in the literature for practical structural health monitoring applications.


Author(s):  
D. Guyomar ◽  
M. Lallart ◽  
T. Monnier ◽  
X. Wang ◽  
L. Petit ◽  
...  

2009 ◽  
Vol 8 (5) ◽  
pp. 357-367 ◽  
Author(s):  
Daniel Guyomar ◽  
Mickaël Lallart ◽  
Thomas Monnier ◽  
Xingjun Wang ◽  
Lionel Petit

2015 ◽  
Author(s):  
Jingru Zhou ◽  
V. John Mathews ◽  
Daniel O. Adams

Author(s):  
Jaroslav Začal ◽  
Petr Dostál ◽  
Michal Šustr ◽  
David Dobrocký

This paper is focused on possibilities of acoustic emission (AE) signal detection from material surface through waveguide for commonly used piezoelectric sensors. It also considers the experimental study of enhanced detection of occurrence of signal guided through waveguide corpus, its changes and deformities. Aim of this work is verification of several waveguide setup possibilities for maximization of AE signal detection in practice. For this purpose, multiple waveguide setups were manufactured from stainless steel and aluminium alloy. Hsu‑Nielson pen test was utilized for signal actuation. Results demonstrate the differences between measured AE signal with and without employment of waveguide (changes in signal course through different materials and shapes), as well as magnitude of signal dampening and amplification necessary for veritable signal interpretation. Measurements were conducted on agglomerated composite of medium density fibreboard (MDF).


2019 ◽  
Vol 284 ◽  
pp. 09002
Author(s):  
Aleksandra Krampikowska ◽  
Grzegorz Świt

The paper reports results of the study on the possibility of using the acoustic emission method in diagnosing fatigue and corrosion damage in steel elements of the cable way support towers. The assessment of the sensitivity of the structure to the recorded destructive processes is based on the structural damage classification method using the patterns created as a result of statistical and mathematical processing of acoustic emission signals through image analysis and grouping methods.


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