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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.26 No.1
- 발행연도
- 2020.1
- 수록면
- 23 - 33 (11page)
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초록· 키워드
오류제보하기
Majority of the damage in engineering structures is nonlinear. Damage sensitive features (DSFs) extracted by traditional methods from linear time series models cannot effectively handle nonlinearity induced by structural damage. A new DSF is proposed based on vector space cosine similarity (VSCS), which combines K-means cluster analysis and Bayesian discrimination to detect nonlinear structural damage. A reference autoregressive moving average (ARMA) model is built based on measured acceleration data. This study first considers an existing DSF, residual standard deviation (RSD). The DSF is further advanced using the VSCS, and then the advanced VSCS is classified using K-means cluster analysis and Bayes discriminant analysis, respectively. The performance of the proposed approach is then verified using experimental data from a three-story shear building structure, and compared with the results of existing RSD. It is demonstrated that combining the linear ARMA model and the advanced VSCS, with cluster analysis and Bayes discriminant analysis, respectively, is an effective approach for detection of nonlinear damage. This approach improves the reliability and accuracy of the nonlinear damage detection using the linear model and significantly reduces the computational cost. The results indicate that the proposed approach is potential to be a promising damage detection technique.
목차
등록된 정보가 없습니다.
참고문헌 (40)
참고문헌 신청
Adams, D. E. / 2002 / Classifying linear and nonlinear structural damage using frequency domain ARX models / Struct. Health Monit 1(2):185~201
Chunxiao Bao / 2013 / Integrated ARMA model method for damage detection of subsea pipeline system / Engineering Structures 48:176~192
E. Peter Carden / 2008 / ARMA modelled time-series classification for structural health monitoring of civil infrastructure / Mechanical Systems and Signal Processing 22(2):295~314
Chen, L. J. / 2013 / Structural nonlinear damage identification algorithm based on time series ARMA/GARCH model / Adv. Struct. Eng 16(9):1597~1609
Chen, L. J. / 2015 / The structural nonlinear damage detection based on linear time series algorithm / Appl. Mech. Mater 744(746):345~350
Chunxiao Bao / 2013 / Integrated ARMA model method for damage detection of subsea pipeline system / Engineering Structures 48:176~192
E. Peter Carden / 2008 / ARMA modelled time-series classification for structural health monitoring of civil infrastructure / Mechanical Systems and Signal Processing 22(2):295~314
Chen, L. J. / 2013 / Structural nonlinear damage identification algorithm based on time series ARMA/GARCH model / Adv. Struct. Eng 16(9):1597~1609
Chen, L. J. / 2015 / The structural nonlinear damage detection based on linear time series algorithm / Appl. Mech. Mater 744(746):345~350
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