Analysis of Acoustic Emission Parameters from Corrosion of AST Bottom Plate in Field Testing

In the Netherlands, many prestressed concrete bridge girders are found to have insufficient shear–tension capacity. We tested four girders taken from a demolished bridge and instrumented these with traditional displacement sensors and acoustic emission (AE) sensors, and used cameras for digital image correlation (DIC). The results show that AE can detect cracking before the traditional displacement sensors, and DIC can identify the cracks with detailed crack kinematics. Both AE and DIC methods provide additional information for the structural analysis, as compared to the conventional measurements: more accurate cracking load, the contribution of aggregate interlock, and the angle of the compression field. These results suggest that both AE and DIC are suitable options that warrant further research on their use in lab tests and field testing of prestressed bridges.

Download Full-text

Acoustic emission instrumentation method for slope monitoring

E3S Web of Conferences ◽

10.1051/e3sconf/20199218010 ◽

2019 ◽

Vol 92 ◽

pp. 18010

Author(s):

Bernardo Caicedo ◽

Fernando Patino-Ramirez

Keyword(s):

Acoustic Emission ◽

Real Time ◽

Slip Surface ◽

Field Testing ◽

Monitoring Device ◽

Analysis Software ◽

Laboratory Results ◽

Slope Monitoring ◽

Active Waveguide ◽

Slope Displacement

Applications using acoustic emission techniques have shown promising results for slope monitoring. This study proposes a modified active waveguide slope monitoring device with AE measurement at either end of the device which is capable of calculating deformation profiles in real time besides its common use as an alarm method. The coupled calibration methodology allows the location of the slip surface and quantification of slope displacement accounting for the efficiency of the sensors and for attenuation due to distance between an event and the sensors. An analysis software is presented too, in order to propose the algorithms necessary to quantify deformation profiles in real time. The present study proposed some guidelines to perform further field testing based on the procedures and analysis algorithms proposed that showed promising laboratory results.

Download Full-text

Corrosion Diagnosis in Bottom Plate of Above Storage Tanks Using Acoustic Emission Techniques

Journal of the Korean Society for Nondestructive Testing ◽

10.7779/jksnt.2012.32.6.711 ◽

2012 ◽

Vol 32 (6) ◽

pp. 711-716

Author(s):

Hee Jun Jung

Keyword(s):

Acoustic Emission ◽

Bottom Plate ◽

Storage Tanks

Download Full-text

Using Hilbert-Huang Transform to Process and Analyze the Corrosion Acoustic Emission Signal of the Tank Bottom Plate

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/508/1/012161 ◽

2020 ◽

Vol 508 ◽

pp. 012161

Author(s):

Wenxin Jiang ◽

Ke Gao ◽

Zhi He ◽

Meng Pan ◽

Shijie Zhang

Keyword(s):

Acoustic Emission ◽

Acoustic Emission Signal ◽

Bottom Plate ◽

Hilbert Huang Transform ◽

Emission Signal ◽

Tank Bottom

Download Full-text

Detection and evaluation of rolling stock wheelset defects using acoustic emission

Insight - Non-Destructive Testing and Condition Monitoring ◽

10.1784/insi.2021.63.7.403 ◽

2021 ◽

Vol 63 (7) ◽

pp. 403-408

Author(s):

E Giannouli ◽

M Papaelias ◽

A Amini ◽

Z Huang ◽

V L Jantara Junior ◽

...

Keyword(s):

Acoustic Emission ◽

Structural Integrity ◽

Field Testing ◽

Rolling Stock ◽

Bearing Defects ◽

Rail Line ◽

Ae Signal ◽

Early Fault Detection ◽

Critical Components ◽

Effective Diagnosis

Acoustic emission (AE) can be employed for the early fault detection of rolling stock wheelset components. Research has been carried out on the development of a remote condition monitoring (RCM) technology for monitoring online rolling stock wheelset defects. Railway axle bearings and wheels are critical components that can develop faults at any time when in service. AE is a reliable passive RCM technique that can be employed for the quantitative evaluation of the structural integrity of rolling stock wheelsets. The emphasis of this study is placed on the results obtained from experimental work performed under laboratory and field testing conditions. Several laboratory tests were carried out using different axle bearing defects. In addition, a customised online RCM system installed on the Chiltern Rail Line, adjacent to a hot box axle detector, was used for comparison purposes. Using this, AE signal analysis was carried out in order to detect potential rolling stock faults. Defect type evaluation and quantification can also be achieved, leading to effective diagnosis of the structural rolling stock integrity of rolling stock wheels and axle bearings.

Download Full-text