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Proceedings Paper

Magneto elastic active sensors for structural health monitoring using magneto-mechanical impedance and elastic wave propagation
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Paper Abstract

Magneto-elastic active sensors (MEAS) offer an alternative to piezoelectric wafer active sensors (PWAS) for structural health monitoring (SHM) applications. In essence, a MEAS consists of a coil of wire carrying a timevarying electrical current in the presence of a static magnetic field. The Lorentz-force mechanism facilitates transduction without a mechanical bond between the sensor and the host structure, thereby circumventing some of the shortcomings of PWAS. In this paper, the development of MEAS is briefly recounted and applications of MEAS to SHM are presented. The miniaturization of MEAS for improved embeddability is also discussed. The ability of MEAS to detect loose bolts by the pitch-catch method is presented. MEAS application for near-field and far-field crack detection is also explored. Finally, the utilization of MEAS in Magneto-Mechanical Impedance (MMI) method is discussed. The MMI technique provides a means of assessing the integrity of metallic structures through measurement of structural dynamic response. Since structural damage affects mechanical properties, it modifies structural dynamic characteristics reflected in MMI signature. The use of MMI to monitor fatigue damage in aluminum alloys is presented. Aluminum samples were subjected to cyclic loading in increments of 10,000 cycles until cracks appeared. The MMI responses show downward frequency shift of impedance peaks as samples deteriorate under fatigue loading, confirming the capability of MMI techniques to detect incipient fatigue damage. Thus, the applicability of MEAS to various SHM techniques is demonstrated, and the advantages and disadvantages of MEAS are explored.

Paper Details

Date Published: 9 April 2010
PDF: 12 pages
Proc. SPIE 7650, Health Monitoring of Structural and Biological Systems 2010, 76501L (9 April 2010); doi: 10.1117/12.847806
Show Author Affiliations
Timothy Barnes, New Mexico Institute of Mining and Technology (United States)
Davit Kukhalashvili, New Mexico Institute of Mining and Technology (United States)
Andrei Zagrai, New Mexico Institute of Mining and Technology (United States)


Published in SPIE Proceedings Vol. 7650:
Health Monitoring of Structural and Biological Systems 2010
Tribikram Kundu, Editor(s)

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