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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.22 No.6
- 발행연도
- 2018.1
- 수록면
- 711 - 725 (15page)
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초록· 키워드
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Most of the practical engineering structures exhibit nonlinearity due to nonlinear dynamic characteristics of structural joints, nonlinear boundary conditions and nonlinear material properties. Hence, it is highly desirable to detect and characterize the nonlinearity present in the system in order to assess the true behaviour of the structural system. Further, these identified nonlinear features can be effectively used for damage diagnosis during structural health monitoring. In this paper, we focus on the detection of the nonlinearity present in the system by confining our discussion to only a few selective time-frequency analysis and multivariate analysis based techniques. Both damage induced nonlinearity and inherent structural nonlinearity in healthy systems are considered. The strengths and weakness of various techniques for nonlinear detection are investigated through numerically simulated two different classes of nonlinear problems. These numerical results are complemented with the experimental data to demonstrate its suitability to the practical problems.
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참고문헌 (38)
참고문헌 신청
S.H. Bae / 2017 / Transient response of vibration systems with viscous-hysteretic mixed damping using Hilbert transform and effective eigenvalues / Smart Structures and Systems, An International Journal 20(3):263~272
Marcello Cammarata / 2010 / Application of principal component analysis and wavelet transform to fatigue crack detection in waveguides / Smart Structures and Systems, An International Journal 6(4):349~362
F. Casciati / 2016 / Dynamic transient analysis of systems with material nonlinearity: a model order reduction approach / Smart Structures and Systems, An International Journal 18(1):1~16
Feldman, M. / 2011 / Hilbert Transform Applications in Mechanical Vibration / Wiley-Interscience
Giannini, O. / 2013 / Nonlinear harmonic identification of breathing cracks in beams / Comput. Struct 129:166~177
Marcello Cammarata / 2010 / Application of principal component analysis and wavelet transform to fatigue crack detection in waveguides / Smart Structures and Systems, An International Journal 6(4):349~362
F. Casciati / 2016 / Dynamic transient analysis of systems with material nonlinearity: a model order reduction approach / Smart Structures and Systems, An International Journal 18(1):1~16
Feldman, M. / 2011 / Hilbert Transform Applications in Mechanical Vibration / Wiley-Interscience
Giannini, O. / 2013 / Nonlinear harmonic identification of breathing cracks in beams / Comput. Struct 129:166~177
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