Imperial College London
Alternate

DrFredericCegla

Faculty of Engineering, Department of Mechanical Engineering

Reader in Mechanical Engineering
 
 
 
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Contact

 

+44 (0)20 7594 8096f.cegla

 
 
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Location

 

567City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Cegla:2016:10.1177/1475921716682688,
author = {Cegla, FB and Herdovics, B},
doi = {10.1177/1475921716682688},
journal = {Structural Health Monitoring: an international journal},
pages = {24--38},
title = {Structural Health Monitoring (SHM) using torsional guided wave EMATs},
url = {http://dx.doi.org/10.1177/1475921716682688},
volume = {17},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Torsional   guided   wave   inspection   is   widely   used   for   pipeline   inspection.   Most   commonly   piezoelectric   andmagnetostrictive transducers are used to generate torsional guided waves. These types of transducers require bondingor mechanical contact to the pipe which can result in changes over time which are undesirable for Structural HealthMonitoring. This paper presents a non-contact Lorentz force based Electromagnetic Acoustic Transducer for torsionalguided wave monitoring of pipelines. First, the excitation mechanism of the transducer is simulated by analyzing theeddy current and the static magnetic field using the finite element method. An EMAT transformer model is presentedwhich describes the eddy current generation transfer function and the ultrasound excitation. Independently simulatededdy current and magnetic fields are used to calculate the Lorentz force that an EMAT array induces on the surface ofa 3 inch schedule 40 pipe and an explicit finite element solver is then used to simulate the elastic wave propagationin the pipe. Then, the reception mechanism and the expected received signal levels are discussed. The constructionof an experimental transducer is described and measurement results from the transducer setup are presented. Themeasured and modeled performance agree well. Finally, a monitoring example is presented where an artificial defectwith 3% reflection coefficient is introduced and successfully detected with the designed sensor.
AU  - Cegla,FB
AU  - Herdovics,B
DO  - 10.1177/1475921716682688
EP  - 38
PY  - 2016///
SN  - 1741-3168
SP  - 24
TI  - Structural Health Monitoring (SHM) using torsional guided wave EMATs
T2  - Structural Health Monitoring: an international journal
UR  - http://dx.doi.org/10.1177/1475921716682688
UR  - http://hdl.handle.net/10044/1/43232
VL  - 17
ER  -
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