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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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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.20 No.4
- 발행연도
- 2017.1
- 수록면
- 415 - 426 (12page)
이용수
초록· 키워드
오류제보하기
Traditional experimental verification for nonlinear system identification often faces the problem of experiment model repeatability. In our research, a steel frame experimental model is developed to imitate the behavior of a single story steel frame under horizontal excitation. Two adjustable rotational dampers are used to simulate the plastic hinge effect of the damaged beam-column joint. This model is suggested as a benchmark model for nonlinear dynamics study. Since the nonlinear form provided by the damper is unknown, a Morlet wavelet based method is introduced to identify the mathematical model of this structure under different damping cases. After the model identification, earthquake excitation tests are carried out to verify the generality of the identified model. The results show the extensive applicability and effectiveness of the identification method.
목차
등록된 정보가 없습니다.
참고문헌 (23)
참고문헌 신청
Adams, D. E. / 2000 / A frequency domain method for estimating the parameters of a non-linear structural dynamic model through feedback / Mech. Syst. Signal Pr 14(14):637~656
Amari, S. I. / 1998 / Neural learning in structured parameter spaces-natural riemannian gradient / Adv. Neural Inform. Process. Syst :127~133
Asgarieh, E. / 2014 / Nonlinear finite element model updating of an infilled frame based on identified time-varying modal parameters during an earthquake / J. Sound Vib 333(23):6057~6073
Aykan, M. / 2013 / Parametric identification of nonlinearity in structural systems using describing function inversion / Mech. Syst. Signal Pr 40:356~376
Dai, Y. / 2009 / Identification of weak nonlinearities in damping and stiffness based on wavelet transform / J. Vib. Shock 28(2):51~55
Amari, S. I. / 1998 / Neural learning in structured parameter spaces-natural riemannian gradient / Adv. Neural Inform. Process. Syst :127~133
Asgarieh, E. / 2014 / Nonlinear finite element model updating of an infilled frame based on identified time-varying modal parameters during an earthquake / J. Sound Vib 333(23):6057~6073
Aykan, M. / 2013 / Parametric identification of nonlinearity in structural systems using describing function inversion / Mech. Syst. Signal Pr 40:356~376
Dai, Y. / 2009 / Identification of weak nonlinearities in damping and stiffness based on wavelet transform / J. Vib. Shock 28(2):51~55
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