Effect of Pipe Bend Configuration on Guided Waves-Based Defects Detection: An Experimental Study

2015 ◽  
Vol 138 (2) ◽  
Author(s):  
Jing Ni ◽  
Shaoping Zhou ◽  
Pugen Zhang ◽  
Yong Li

Ultrasonic guided waves is one of the most effective nondestructive testing techniques, which has been successfully applied for damage detection and evaluation of piping components. However, research about defects detection for pipelines with multiple bends is still limited. In this paper, effect of pipe bend arrangement on guided waves-based defect detection is investigated by experimental method, in which different configurations including space-Z type, U type, and plane-Z type are considered, respectively. Finite element (FE) simulation is used to explore the propagation behaviors of axisymmetric L (0, 2) mode in different bend configurations. On this basis, the detection sensitivity for different crack locations is experimentally investigated. Simulation and experiment results reveal that feature of guided waves propagation across the first and the second bend is totally different, and the defect detection sensitivity in the second bend is different from that in the first bend.

2016 ◽  
Vol 139-140 ◽  
pp. 250-255 ◽  
Author(s):  
Minxin Qi ◽  
Shaoping Zhou ◽  
Jing Ni ◽  
Yong Li

2019 ◽  
Vol 957 ◽  
pp. 329-339
Author(s):  
A. de Luca ◽  
Donato Perfetto ◽  
Francesco Caputo

Thanks to their high damage detection sensitivity and low requested power consumption, guided-waves (Lamb waves) have been increasingly used in the last years to monitor the structural integrity in primary and secondary composite structures. The monitoring of the structural health through the propagation of Lamb waves in composite structures is notoriously complex and, for this reason, the development of a prediction model can be a helpful tool for the improvement of Structural Health Monitoring (SHM) systems. Finite Element Method (FE) appears to be the best candidate for such type of simulation. However, since Lamb waves propagation depends strictly on the local material properties of the medium they propagate through, their numerical characterization is a thorny phase. Real composite components are usually affected by the presence of a large number of voids and defects, which cannot be reproduced in numerical models; this leads to a variability of the mechanical properties of materials, with particular reference to elastic moduli and density. These aspects get really ambitious the development of a well-established FE model. In this paper, a design of experiment (DOE) has been carried out to numerically investigate on the effects of the material properties variability on guided-waves time of flight.


Sensors ◽  
2021 ◽  
Vol 21 (14) ◽  
pp. 4879
Author(s):  
Renaldas Raišutis ◽  
Kumar Anubhav Tiwari ◽  
Egidijus Žukauskas ◽  
Olgirdas Tumšys ◽  
Lina Draudvilienė

The reliability of the wind turbine blade (WTB) evaluation using a new criterion is presented in the work. Variation of the ultrasonic guided waves (UGW) phase velocity is proposed to be used as a new criterion for defect detection. Based on an intermediate value between the maximum and minimum values, the calculation of the phase velocity threshold is used for defect detection, location and sizing. The operation of the proposed technique is verified using simulation and experimental studies. The artificially milled defect having a diameter of 81 mm on the segment of WTB is used for verification of the proposed technique. After the application of the proposed evaluation technique for analysis of the simulated B-scan image, the coordinates of defect edges have been estimated with relative errors of 3.7% and 3%, respectively. The size of the defect was estimated with a relative error of 2.7%. In the case of an experimentally measured B-scan image, the coordinates of defect edges have been estimated with relative errors of 12.5% and 3.9%, respectively. The size of the defect was estimated with a relative error of 10%. The comparative results obtained by modelling and experiment show the suitability of the proposed new criterion to be used for the defect detection tasks solving.


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