Analysis of Acoustic Emission Signal for Crack Detection and Distance Measurement on Steel Structure
- PDF / 3,206,156 Bytes
- 17 Pages / 595.276 x 790.866 pts Page_size
- 69 Downloads / 212 Views
TECHNICAL NOTE
Analysis of Acoustic Emission Signal for Crack Detection and Distance Measurement on Steel Structure Arpita Mukherjee1
· Aishwarya Banerjee1
Received: 12 March 2020 / Accepted: 20 October 2020 © Australian Acoustical Society 2020
Abstract Acoustic emission (AE) technique has been merged to a promising method for structural health monitoring in non-destructive technique. So an analysis of the AE signal is becoming a very important research component. In this paper, an algorithm is developed for detection of the crack signal among different noise signals since the AE signal is also generated by several means like any impact or rubbing action on the structure which may give erroneous results. An AE monitoring system is developed with three experimental setups to generate three types of AE signals from three dissimilar sources. Thus, an algorithm is developed to identify the crack signal by comparing the parameters of different signals acquired from different sources using some signal processing techniques such as parameter based analysis, waveform based analysis e.g. fast Fourier transform, continuous wavelet transform, cross-correlation coefficient, magnitude coherence coefficient, and energy distribution. After identification of the crack signal, the distance of the crack source has been calculated by analysing the signal in time–frequency domain also an algorithm has been designed to calculate the velocity of the acoustic wave more accurately and consequently the distance of the crack. Keywords Acoustic emission signal · Structural health monitoring (SHM) · Signal processing
1 Introduction Structural health monitoring (SHM) includes various techniques for monitoring and assessing the condition of a structure, e.g. ship hulls, bridge girders, oil tankers, aircraft wings, etc. Among the various NDT techniques, Acoustic Emission (AE) is one of the major and emerging techniques being used these days. AE techniques are used for detection and localisation of damage which can take place in the different structure [1, 2]. In the paper [3], the authors established a relationship between initiation of fatigue crack with any certain characteristics of AE signal properties to measure the onset potential growing crack. The author studied the relation between the propagation of the crack and self-emitted acoustic in implanted silicon in [4]. The development of the localised crack growth was presented by the author in [5] by consensus self-organising models (COSMO) which detects deviation of acoustical data. In [6], use of AE for the locali-
B 1
Arpita Mukherjee [email protected] CSIR-Central Mechanical Engineering Research Institute, Durgapur, West Bengal 713209, India
sation and characterisation of corrosion damage induced by chloride in reinforced concrete (RC) structures is validated by using Microfocus X-ray computed tomography (microCT). In [7], the authors have investigated to detect the rail crack using AE technology. The paper [8] proposes the use of information entropy of AE signal to ident
Data Loading...
