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.6
- 발행연도
- 2021.12
- 수록면
- 827 - 838 (12page)
이용수
초록· 키워드
오류제보하기
The dynamic displacement is considered to be an important indicator of structural safety, and becomes an indispensable part of Structural Health Monitoring (SHM) system for high-speed railway bridges. This paper proposes an indirect strain based dynamic displacement reconstruction methodology for high-speed railway box girders. For the typical box girders under eccentric train load, the plane section assumption and elementary beam theory is no longer applicable due to the bend-torsion coupling effects. The monitored strain was decoupled into bend and torsion induced strain, pre-trained multi-output support vector regression (M-SVR) model was employed for such decoupling process considering the sensor layout cost and reconstruction accuracy. The decoupled strained based displacement could be reconstructed respectively using box girder plate element analysis and mode superposition principle. For the transformation modal matrix has a significant impact on the reconstructed displacement accuracy, the modal order would be optimized using particle swarm algorithm (PSO), aiming to minimize the ill conditioned degree of transformation modal matrix and the displacement reconstruction error. Numerical simulation and dynamic load testing results show that the reconstructed displacement was in good agreement with the simulated or measured results, which verifies the validity and accuracy of the algorithm proposed in this paper.
목차
등록된 정보가 없습니다.
참고문헌 (54)
참고문헌 신청
Robert James Barthorpe / 2020 / Emerging Trends in Optimal Structural Health Monitoring System Design: From Sensor Placement to System Evaluation / Journal of Sensor and Actuator Networks 9(3):31
Giovanni Bernardini / 2018 / Rotor blade shape reconstruction from strain measurements / Aerospace Science and Technology 79:580~587
Priscilla Cerracchio / 2015 / A novel approach for displacement and stress monitoring of sandwich structures based on the inverse Finite Element Method / Composite Structures 127:69~76
Priscilla Cerracchio / 2015 / Real-time displacement monitoring of a composite stiffened panel subjected to mechanical and thermal loads / Meccanica 50(10):2487~2496
Subhajit Das / 2020 / Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization / Smart Structures and Systems, An International Journal 25(3):345~368
Giovanni Bernardini / 2018 / Rotor blade shape reconstruction from strain measurements / Aerospace Science and Technology 79:580~587
Priscilla Cerracchio / 2015 / A novel approach for displacement and stress monitoring of sandwich structures based on the inverse Finite Element Method / Composite Structures 127:69~76
Priscilla Cerracchio / 2015 / Real-time displacement monitoring of a composite stiffened panel subjected to mechanical and thermal loads / Meccanica 50(10):2487~2496
Subhajit Das / 2020 / Structural damage identification of truss structures using self-controlled multi-stage particle swarm optimization / Smart Structures and Systems, An International Journal 25(3):345~368
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