AE source localization and imaging on cylindrical shell structures based on six-AE-sensor monitoring network and VTR focusing imaging

ABSTRACT This study is interested in how to utilise the virtual time reversal (VTR) technique to locate the continuous AE source in cylindrical shell structure. Thus, a six-AE-sensor monitoring network was designed to divide cylindrical surface into two symmetric semi-cylindrical monitoring areas whose four vertexes and two geometrical centres were defined as the measuring points. The AE source can be located in certain semi-cylindrical monitoring area whose centre measuring point first captured the emitted AE signal. Besides, the response signals at other four measuring points were used to localise the AE source. To realise the VTR focusing of the AE signals, the proposed method solved two key problems. One is to search the shortest helical path between two arbitrary points on a cylindrical surface, which can provide the shortest distance from AE source to sensor. The other is to extract the specific frequency coefficients of wavelet transform for the continuous AE signal, which can meet with the requirement for the instantaneous abrupt characteristic of the signals to be processed using VTR focusing technique. Finally, a continuous leak experiment was carried out on a gas-filled steel pipe. The corresponding localisation method can accurately estimate the location of the continuous leak source.

[1]  Anthony N Sinclair,et al.  Ultrasonic monitoring of erosion/corrosion thinning rates in industrial piping systems. , 2013, Ultrasonics.

[2]  S. Yuan,et al.  High spatial resolution imaging for structural health monitoring based on virtual time reversal , 2011 .

[3]  Sang-Kwon Lee,et al.  Source location in plates based on the multiple sensors array method and wavelet analysis , 2014 .

[4]  Valentina Lopresto,et al.  Triangulation method as a valid tool to locate the damage in unidirectional CFRP laminates , 2012 .

[5]  Amir Movafeghi,et al.  The use of radiography for thickness measurement and corrosion monitoring in pipes , 2006 .

[6]  Salvatore Salamone,et al.  Determination of the probability zone for acoustic emission source location in cylindrical shell structures , 2015 .

[7]  Karen Margaret Holford,et al.  Acoustic emission source location on large plate-like structures using a local triangular sensor array , 2012 .

[8]  P. Cawley,et al.  Ultrasonic isolation of buried pipes , 2016 .

[9]  Amir Mostafapour,et al.  Gas leak locating in steel pipe using wavelet transform and cross-correlation method , 2014 .

[10]  Chao Xu,et al.  Preload Monitoring of Bolted L-Shaped Lap Joints Using Virtual Time Reversal Method , 2018, Sensors.

[11]  Takayuki Kusaka,et al.  Damage localization method for plates based on the time reversal of the mode‐converted Lamb waves , 2019, Ultrasonics.

[12]  Baldev Raj,et al.  Acoustic emission source location on a cylindrical surface , 1993 .

[13]  J Quarini,et al.  A Review of Fluid-Driven Pipeline Pigs and their Applications , 2007 .

[14]  Mira Mitra,et al.  Guided wave based structural health monitoring: A review , 2016 .

[15]  D. Jiles Theory of the magnetomechanical effect , 1995 .

[16]  Amir Mostafapour,et al.  Modeling Acoustic Emission Signals Caused by Leakage in Pressurized Gas Pipe , 2013 .

[17]  M. Fink,et al.  Time-reversed Lamb waves , 1998, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[18]  Lei Jia,et al.  Multi-source acoustic emission localization technology research based on FBG sensing network and time reversal focusing imaging , 2016 .

[19]  P. Cawley,et al.  Rapid, Long Range Inspection of Chemical Plant Pipework Using Guided Waves , 2004 .

[20]  T. Bouma,et al.  Rapid corrosion screening in up to 30 mm wall thickness for plates and pipe , 2002 .

[21]  Amir Mostafapour,et al.  Continuous leakage location in noisy environment using modal and wavelet analysis with one AE sensor. , 2015, Ultrasonics.

[22]  A. Mostafapour,et al.  Acoustic emission source location in plates using wavelet analysis and cross time frequency spectrum. , 2014, Ultrasonics.

[23]  Peter Cawley,et al.  Current deflection NDE for the inspection and monitoring of pipes , 2016 .

[24]  Amir Mostafapour,et al.  Analysis of leakage in high pressure pipe using acoustic emission method , 2013 .

[25]  Peter Cawley,et al.  Practical long range guided wave testing: applications to pipes and rails , 2003 .

[26]  Yong Li,et al.  Gradient-field pulsed eddy current probes for imaging of hidden corrosion in conductive structures , 2016 .

[27]  M. Lowe,et al.  Defect detection in pipes using guided waves , 1998 .

[28]  Zbigniew Usarek,et al.  Discussion of Derivability of Local Residual Stress Level from Magnetic Stray Field Measurement , 2015 .

[29]  Weiying Cheng,et al.  Pulsed Eddy Current Testing of Carbon Steel Pipes’ Wall-thinning Through Insulation and Cladding , 2012 .

[30]  Chao Xu,et al.  A bolt preload monitoring method based on the refocusing capability of virtual time reversal , 2019, Structural Control and Health Monitoring.