TY - GEN
T1 - Inspection of steel tube welded joint using nonlinear ultrasonic technique
AU - Park, Se Hyuk
AU - Bokhari, Imraan
AU - Alnuaimi, Hamad
AU - Amjad, Umar
AU - Fleischman, Robert
AU - Kundu, Tribikram
N1 - Publisher Copyright: © 2022 SPIE
PY - 2022
Y1 - 2022
N2 - In steel construction, for both plate and tubular structures, welding is commonly used for joining two or more parts together. In welded joints, defects such as cracks, pores, and slag inclusion can be present from the beginning or generated while in service. Such defects are the weak spots that can lead to structural failures. Therefore, early detection of these defects in welded joints is important. One way of detecting these defects is using ultrasonic non-destructive testing (NDT) techniques. Guided acoustic wave-based techniques have been proven to be effective for damage detection and many studies have been tried out before for damage detection in tubes. Earlier attempts mostly focused on conventional linear ultrasonic techniques. In this research, a newly developed nonlinear ultrasonic technique, called Sideband Peak Count- Index (SPC-I) technique, is carried out. For this investigation, two steel tubes are welded together and four point bending test is conducted under fatigue loading. The welded joint is continuously inspected in real time using strain gauges and Lead Zirconate Titanate (PZT) transducers which is used to generate and receive the guided acoustic waves. The signal is propagated through the specimen in a single sided transmission mode setup. During the test, both the strain gauge values and the nonlinear ultrasonic parameter, the SPC-I values, are continuously monitored simultaneously. The results obtained from the nonlinear ultrasonic NDT measurements are compared with the experimental data obtained from the strain gauge to check if the technique is robust and reliable enough for qualitative inspection of welds.
AB - In steel construction, for both plate and tubular structures, welding is commonly used for joining two or more parts together. In welded joints, defects such as cracks, pores, and slag inclusion can be present from the beginning or generated while in service. Such defects are the weak spots that can lead to structural failures. Therefore, early detection of these defects in welded joints is important. One way of detecting these defects is using ultrasonic non-destructive testing (NDT) techniques. Guided acoustic wave-based techniques have been proven to be effective for damage detection and many studies have been tried out before for damage detection in tubes. Earlier attempts mostly focused on conventional linear ultrasonic techniques. In this research, a newly developed nonlinear ultrasonic technique, called Sideband Peak Count- Index (SPC-I) technique, is carried out. For this investigation, two steel tubes are welded together and four point bending test is conducted under fatigue loading. The welded joint is continuously inspected in real time using strain gauges and Lead Zirconate Titanate (PZT) transducers which is used to generate and receive the guided acoustic waves. The signal is propagated through the specimen in a single sided transmission mode setup. During the test, both the strain gauge values and the nonlinear ultrasonic parameter, the SPC-I values, are continuously monitored simultaneously. The results obtained from the nonlinear ultrasonic NDT measurements are compared with the experimental data obtained from the strain gauge to check if the technique is robust and reliable enough for qualitative inspection of welds.
KW - Damage Detection
KW - Guided Acoustic Wave
KW - SPC-I
KW - Ultrasonic Technique
KW - Welded Joints
UR - http://www.scopus.com/inward/record.url?scp=85132009988&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85132009988&partnerID=8YFLogxK
U2 - 10.1117/12.2611920
DO - 10.1117/12.2611920
M3 - Conference contribution
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Health Monitoring of Structural and Biological Systems XVI
A2 - Fromme, Paul
A2 - Su, Zhongqing
PB - SPIE
T2 - Health Monitoring of Structural and Biological Systems XVI 2022
Y2 - 4 April 2022 through 10 April 2022
ER -