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.28 No.5
- 발행연도
- 2021.11
- 수록면
- 643 - 660 (18page)
이용수
초록· 키워드
오류제보하기
All structures are exposed to damage during their lifetime. Timely detection of the damages can prevent the reduction of stiffness/resistance of structures. The large number of elements in structures in comparison to the number of measurable data can limit the performance of the closed-form methods. This study presents a new damage detection method determining damage severity and location in the elements and connections via Improved Genetic Algorithm (IGA) based on limited number of mode shapes. This study describes how damage can be accurately identified based on the least number of modes. In this approach, healthy elements are identified by the IGA algorithm and removed from the search space. In this way, the damaged elements are examined more carefully and the severity of the damage is estimated more accurately. In this study, to evaluate the performance of the proposed method, two numerical examples are used. The numerical study includes a 2D truss structure under 4 damage scenarios and a 3D structure with a much larger number of elements under 6 different damage scenarios. Moreover, the performance of this algorithm in presence of noise in modal information is also examined. The results show that the proposed method can accurately detect damage to elements and connections, even in the presence of noise, by using only one mode in the 2D truss and two modes in the 3D structure. In order to evaluate the efficiency of this method in determining the damage of connections, a cantilever beam has been modeled and experimentally tested. The connection stiffness of the beam has been computed using both IGA and load-deformation measurement methods. In the IGA method only the first mode shape of the beam is employed to determine the connection stiffness. To derive the mode shapes in rotational degrees of freedoms which contain valuable information on connection stiffness, a novel, straightforward, and practical approach has been proposed. The results also indicate the high performance of this method to accurately estimate the connection stiffness.
목차
등록된 정보가 없습니다.
참고문헌 (38)
참고문헌 신청
Karoline Alten / 2017 / Evaluation of Different Monitoring Techniques During Damage Infliction on Structures / Procedia Engineering 199:1840~1845
A. Alvandi / 2006 / Assessment of vibration-based damage identification techniques / Journal of Sound and Vibration 292(1-2):179~202
Maryam Daei / 2017 / A new intelligent algorithm for damage detection in frames via modal properties / Intelligent Buildings International 9(4):222~236
Datta, D. / 2020 / Advances in Rotor Dynamics, Control, and Structural Health Monitoring / Springer :215~226
Zhenghao Ding / 2019 / Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference / Mechanical Systems and Signal Processing 132:211~231
A. Alvandi / 2006 / Assessment of vibration-based damage identification techniques / Journal of Sound and Vibration 292(1-2):179~202
Maryam Daei / 2017 / A new intelligent algorithm for damage detection in frames via modal properties / Intelligent Buildings International 9(4):222~236
Datta, D. / 2020 / Advances in Rotor Dynamics, Control, and Structural Health Monitoring / Springer :215~226
Zhenghao Ding / 2019 / Structural damage identification using improved Jaya algorithm based on sparse regularization and Bayesian inference / Mechanical Systems and Signal Processing 132:211~231
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