In this section
@article{Szlaszynski:2022:10.3390/s22082973,
author = {Szlaszynski, F and Lowe, MJS and Huthwaite, P},
doi = {10.3390/s22082973},
journal = {Sensors},
pages = {1--23},
title = {Short range pipe guided wave testing using SH0 plane wave imaging for improved quantification accuracy},
url = {http://dx.doi.org/10.3390/s22082973},
volume = {22},
year = {2022}
}
TY - JOUR
AB - Detection and criticality assessment of defects appearing in inaccessible locations in pipelines pose a great challenge for many industries. Inspection methods which allow for remote defect detection and accurate characterisation are needed. Guided wave testing (GWT) is capable of screening large lengths of pipes from a single device position, however it provides very limited individual feature characterisation. This paper adapts Plane Wave Imaging (PWI) to pipe GWT to improve defect characterization for inspection in nearby locations such as a few metres from the transducers. PWI performance is evaluated using finite element (FE) and experimental studies, and it is compared to other popular synthetic focusing imaging techniques. The study is concerned with part-circumferential part-depth planar cracks. It is shown that PWI achieves superior resolution compared to the common source method (CSM) and comparable resolution to the total focusing method (TFM). The techniques involving plane wave acquisition (PWI and CSM) are found to substantially outperform methods based on full matrix capture (FMC) in terms of signal-to-noise ratio (SNR). Therefore, it is concluded that PWI which achieves good resolution and high SNR is a more attractive choice for pipe GWT, compared to other considered techniques. Subsequently, a novel PWI transduction setup is proposed, and it is shown to suppresses the transmission of unwanted S0 mode, which further improves SNR of PWI.
AU - Szlaszynski,F
AU - Lowe,MJS
AU - Huthwaite,P
DO - 10.3390/s22082973
EP - 23
PY - 2022///
SN - 1424-8220
SP - 1
TI - Short range pipe guided wave testing using SH0 plane wave imaging for improved quantification accuracy
T2 - Sensors
UR - http://dx.doi.org/10.3390/s22082973
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000785455400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.mdpi.com/1424-8220/22/8/2973
UR - http://hdl.handle.net/10044/1/106261
VL - 22
ER -