EVALUATION OF STRESS IN STEEL STRUCTURES USING ELECTROMAGNETIC METHODS BASED ON UTILIZATION OF MICROSTRIP ANTENNA SENSOR AND MONITORING OF AC MAGNETIZATION PROCESS


Abstract

In this paper the results of utilization of  electromagnetic methods operating in low and high frequency range for evaluation of stress state  and plastic deformation in steel elements are presented. In low frequency range Barkhausen noise and magnetic hysteresis loop method for evaluation of stress level and growth of plastic deformation changes were utilized.  The methods allow to monitor parameters related to magnetization process under AC filed. Additionally in this paper the possibility of utilization of high frequency method for estimation of deformation extent (i.e. elongation) caused by stress will be presented. In this experiment the frequency response (the reflection coefficient S11) is measured. The strong relation of antennas resonant frequency to patch dimensions is utilized in order to obtain information about deformation of the sample.


Keywords

nondestructive testing; stress measurement; sensor; ac magnetization; Barkhausen noise; microstrip antenna

Balanis C.A.: Antenna theory analysis and design, 3rd ed, US: John Wiley & Sons Ltd., 2005.

Benchirouf A., Zichner R., Muller C., Kanoun O.: Electromagnetic Simulation of Flexible Strain Sensor based Microstrip Patch Antenna, Interantional Journal of Microwave and Optical Technology IJMOT, 10(6-I)/2015, 397–401.

Daliri A., Galehdar A., John S., Rowe W. S. T., Ghorbani K.: Slotted Circular Microstrip Patch Antenna Application in Strain Based Structural Health Monitoring, AIAC14 Fourteenth Australian International Aerospace Congress, 2011.

Gaunkar N.: Magnetic hysteresis and Barkhausen noise emission analysis of magnetic materials and composites, Graduate Theses and Dissertations. Iowa State University, 2014.

Jiles D.: Microstructure and stress dependence of the magnetic properties of steels, Review of Progress in Quantitative Nondestructive Evaluation, 9/1990, 1821–1827.

Liu T., Kikuchi H., Ara K., Kamad Y., Takahas S.: Magnetomechanical effect of low carbon steel studied by two kinds of magnetic minor hysteresis loops, NDT&E International 39/2006, 408–413.

Miesowicz K., Staszewski W. J., Korbiel T.: Analysis of Barkhausen noise using wavelet-based fractal signal processing for fatigue crack detection, International Journal of Fatigue, 83(2)/2016, 109–116.

Prabhu Gaunkar N.G., Nlebedim I.C., GaunkarPrabhu V.G., Jiles D.C.: Examining the Correlation Between Microstructure and Barkhausen Noise Activity for Ferromagnetic Materials. IEEE Transactions on Magnetics, 51(11)/2015.

Psuj G.: Fusion of Multiple Parameters of Magnetic Testing Results for Damage Assessment of Loaded Steel Structures, Studies in Applied Electromagnetics and Mechanics, Vol 40: Electromagnetic Nondestructive Evaluation (XVI), 2015, 192–199.

Sorsa A., Leiviskä K., Santa-aho S., Lepistö T.: Quantitative prediction of residual stress and hardness in case-hardened steel based on the Barkhausen noise measurement, NDT & E International, 46/2012, 100–106.

Stupakov O., Pal’a J., Tomáš I., Bydžovský J., Novák V.: Investigation of magnetic response to plastic deformation of low-carbon steel, Materials Science and Engineering A 462/2007, 351–354.

Tata U., Huang H., Carter R.L., Chiao J.C.: Exploiting a patch antenna for strain measurements, IOP Publishing, Measurement Science and Technology, 20(1)/2009.

Wang W., Ge H., Liu T., Liu M.: Study of Patch Antennas for Strain Mesurement, Electromagnetic Nondestructive Evalution (XVIII), 2015.

Yi X., Cho C., Fang C., Cooper J., Lakafosis V., Vyas R., Wang Y., Leon R.T., Tentzeris M.M.: Wireless Strain and Crack Sensing Using a Folded Patch Antenna. 6th European Conference on Antennas and Propagations (EUCAP), 1678–1681, 2012.

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Published : 2016-12-22


Lopato, P., Psuj, G., Herbko, M., & Maciusowicz , M. (2016). EVALUATION OF STRESS IN STEEL STRUCTURES USING ELECTROMAGNETIC METHODS BASED ON UTILIZATION OF MICROSTRIP ANTENNA SENSOR AND MONITORING OF AC MAGNETIZATION PROCESS. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 6(4), 32-36. https://doi.org/10.5604/01.3001.0009.5186

Przemyslaw Lopato  plopato@zut.edu.pl
West Pomeranian University of Technology Szczecin  Poland
Grzegorz Psuj 
West Pomeranian University of Technology Szczecin  Poland
Michał Herbko 
West Pomeranian University of Technology Szczecin  Poland
Michał Maciusowicz  
West Pomeranian University of Technology Szczecin  Poland