지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 국제구조공학회 Smart Structures and Systems, An International Journal Smart Structures and Systems, An International Journal Vol.24 No.6
- 발행연도
- 2019.1
- 수록면
- 683 - 692 (10page)
이용수
초록· 키워드
오류제보하기
Traditional damage detection methods for nonlinear structures are often based on simplified models, such as the mass-spring-damper and shear-building models, which are insufficient for predicting the vibration responses of a real structure. Conventional global nonlinear finite element model updating methods are computationally intensive and time consuming. Thus, they cannot be applied to practical structures. A decentralized approach for identifying the nonlinear material parameters is proposed in this study. With this technique, a structure is divided into several small zones on the basis of its structural configuration. The unknown material parameters and measured vibration responses are then divided into several subsets accordingly. The structural parameters of each subset are then updated using the vibration responses of the subset with the Newton-successive-over-relaxation (SOR) method. A reinforced concrete and steel frame structure subjected to earthquake loading is used to verify the effectiveness and accuracy of the proposed method. The parameters in the material constitutive model, such as compressive strength, initial tangent stiffness and yielding stress, are identified accurately and efficiently compared with the global nonlinear model updating approach.
목차
등록된 정보가 없습니다.
참고문헌 (42)
참고문헌 신청
Eliyar Asgarieh / 2014 / Nonlinear finite element model updating of an infilled frame based on identified time-varying modal parameters during an earthquake / Journal of Sound and Vibration 333(23):6057~6073
Rodrigo Astroza / 2015 / Material Parameter Identification in Distributed Plasticity FE Models of Frame-Type Structures Using Nonlinear Stochastic Filtering / Journal of Engineering Mechanics 141(5):04014149
Rodrigo Astroza / 2017 / Bayesian nonlinear structural FE model and seismic input identification for damage assessment of civil structures / Mechanical Systems and Signal Processing 93:661~687
Michele Barbato / 2006 / Finite element structural response sensitivity and reliability analyses using smooth versus non-smooth material constitutive models / International Journal of Reliability and Safety 1(1/2):3~39
Conte, J. P. / 2001 / Earthquake Engineering Frontiers in the New Millennium :395~401
Rodrigo Astroza / 2015 / Material Parameter Identification in Distributed Plasticity FE Models of Frame-Type Structures Using Nonlinear Stochastic Filtering / Journal of Engineering Mechanics 141(5):04014149
Rodrigo Astroza / 2017 / Bayesian nonlinear structural FE model and seismic input identification for damage assessment of civil structures / Mechanical Systems and Signal Processing 93:661~687
Michele Barbato / 2006 / Finite element structural response sensitivity and reliability analyses using smooth versus non-smooth material constitutive models / International Journal of Reliability and Safety 1(1/2):3~39
Conte, J. P. / 2001 / Earthquake Engineering Frontiers in the New Millennium :395~401
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