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HomeKey Engineering MaterialsKey Engineering Materials Vols. 569-570An Analysis of the Effectiveness of Application of...

An Analysis of the Effectiveness of Application of Rotation Rate Sensors in Non Destructive Damage Evaluation

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Abstract:

This paper reports the analysis of the effectiveness of the application of rotation rate sensors in structural damage identification problem using harmonic vibrations for plexiglass models of cantilever beams. The two types of sensors are applied: angular rate sensors and conventional translational, piezoelectric accelerometers. The amplitudes of dynamic response under harmonic kinematic excitations were subsequently used in the stiffness reconstruction procedure. Particularly promising results are obtained by using only rotation rate sensors in the reconstruction procedure.

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Damage Assessment of Structures X

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Periodical:

Key Engineering Materials (Volumes 569-570)

Pages:

783-790

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.569-570.783

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Cite this paper

Online since:

July 2013

Authors:

Seweryn Kokot, Zbigniew Zembaty, Piotr Bobra

Keywords:

Damage Reconstruction, Harmonic Vibration, Non-Destructive Identification, Rotation Measurements

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[1] Meydan T., Recent trends in linear and angular accelerometers, Sensors and Actuators A, 59 (1997) 43-50.

DOI: 10.1016/s0924-4247(97)80146-x

[2] Igel H., Brokesova J., Evans J., Zembaty Z., Preface to the special issue on Advances in rotational seismology: instrumentation, theory, observations and engineering, Journal of Seismology, 16 (2012) 571-572.

DOI: 10.1007/s10950-012-9307-6

[3] Gicev V. and Trifunac M.D., Rotations in a shear-beam model of a seven-story building caused by nonlinear waves during earthquake excitation, Structural Control and Health Monitoring, 16 (2009) 460–482, DOI: 10. 1002/stc. 264.

DOI: 10.1002/stc.264

[4] Alvandia A., Cremona C., Assessment of vibration-based damage identification techniques, Journal of Sound and Vibration, 292 (2006) 179–202.

DOI: 10.1016/j.jsv.2005.07.036

[5] Sohn H., Farrar C.R., Hemez F.M., Shunk D.D., Stinemates D.W., Nadler B.R., A review of structural health monitoring literature: 1996–2001, Los Alamos National Laboratory Report LA-13976-MS, (2003).

[6] Ostachowicz W., Kudela P., Krawczuk M., Żak A., Guided waves in structures for SHM. Wiley, Chichester (2012).

DOI: 10.1002/9781119965855

[7] Zembaty Z., Kowalski M., Pospisil S., Dynamic identification of a reinforced concrete frame in progressive states of damage, Engineering Structures, 28 (2006) 668-681.

DOI: 10.1016/j.engstruct.2005.09.025

[8] Lin Y. Q. , Ren W.X. and Fang S.E. Structural damage detection based on stochastic subspace identification and statistical pattern recognition: I. Theory Smart Materials and Structures, 20, 115009, doi: 10. 1088/0964-1726/20/11/115009.

DOI: 10.1088/0964-1726/20/11/115009

[9] Lin Y. Q. Ren W.X. and Fang S.E. Structural damage detection based on stochastic subspace identification and statistical pattern recognition: II. Experimental validation under varying temperature Smart Materials and Structures, 20, 115010, doi: 10. 1088/0964-1726/20/11/115010.

DOI: 10.1088/0964-1726/20/11/115010

[10] Zembaty Z., Non-stationary random vibrations of a shear beam under high frequency seismic effects, Soil Dynamics and Earthquake Engineering , 27 (2007) 1000-1011.

DOI: 10.1016/j.soildyn.2007.03.003

[11] Liu G.R., Han X., Computational inverse techniques in nondestructive evaluation, CRC Press, Boca Raton (2003).

[12] Swiercz A., Kolakowski P., Holnicki-Szulc J., Structural damage identification using low frequency non-resonance harmonic excitation, Key Engineering Materials, 347 (2007) 427-432.

DOI: 10.4028/www.scientific.net/kem.347.427

[13] Liu G.R., Chen S.C., A Novel Technique for Inverse Identification of Distributed Stiffness Factor in Structures, Journal of Sound and Vibration, 254 (2002) 823-835.

DOI: 10.1006/jsvi.2001.4126

[14] Kokot S. and Zembaty Z., Damage reconstruction of 3d frames using genetic algorithms with Levenberg-Marquardt local search, Soil Dynamics & Earthquake Engineering, 29 (2009) 311-323.

DOI: 10.1016/j.soildyn.2008.03.001

[15] Kokot S. and Zembaty Z., Vibration based stiffness reconstruction of beams and frames by observing their rotations under harmonic excitations - a numerical analysis, Engineering Structures, 31 (2009) 1581-1588.

DOI: 10.1016/j.engstruct.2009.02.032