In order to gain more information reflecting bridge health status, with fewer sensors, a method based on artificial fish swarm algorithm (AFSA) is proposed to solve optimal sensor placement (OSP) problem. The algorithm takes modal assurance criterion (MAC) matrix obtained from modal analysis of an arch bridge structure as the objective function. Four typical behaviors of artificial fish are applied to search the optimal solution. The results show that AFSA is more effective than the particle swarm optimization (PSO) method, in achieving optimal sensor placement.
목차
Abstract 1. Introduction 2. Description of AFSA 2.1. Principle of AFSA 2.2. Flow chart of AFSA 3. Modal Analysis on Arch Bridge 3.1. Description of Arch Bridge 3.2. Finite Element Model 4. OSP for the Arch Bridge 4.1. Mathematical Model 4.2. Procedure of OSP 4.3. OSP Implementation 4.4 Comparison of the Methods 5. Conclusions Acknowledgements References
키워드
optimal sensor placementartificial fish swarm algorithmmodal analysisfinite element model
저자
Zhen-rui Peng [ School of Mechatronics Engineering, Lanzhou Jiaotong University, China ]
Yu Zhao [ School of Electronic Information and Electrical Engineering, Tianshui Normal University, China ]
Hong Yin [ School of Mechatronics Engineering, Lanzhou Jiaotong University, China ]
An Pan [ School of Mechatronics Engineering, Lanzhou Jiaotong University, China ]
보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Control and Automation
간기
월간
pISSN
2005-4297
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Control and Automation Vol.8 No.4