Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Smart Structures and Systems Volume 5, Number 4, July 2009 , pages 369-379 DOI: https://doi.org/10.12989/sss.2009.5.4.369 |
|
|
|
Entropy-based optimal sensor networks for structural health monitoring of a cable-stayed bridge |
||
M. Azarbayejani, A. I. El-Osery and M. M. Reda Taha
|
||
| Abstract | ||
| The sudden collapse of Interstate 35 Bridge in Minneapolis gave a wake-up call to US municipalities to re-evaluate aging bridges. In this situation, structural health monitoring (SHM) technology can provide the essential help needed for monitoring and maintaining the nation infrastructure. Monitoring long span bridges such as cable-stayed bridges effectively requires the use of a large number of sensors. In this article, we introduce a probabilistic approach to identify optimal locations of sensors to enhance damage detection. Probability distribution functions are established using an artificial neural network trained using a priori knowledge of damage locations. The optimal number of sensors is identified using multi-objective optimization that simultaneously considers information entropy and sensor cost-objective functions. Luling Bridge, a cable-stayed bridge over the Mississippi River, is selected as a case study to demonstrate the efficiency of the proposed approach. | ||
| Key Words | ||
| structural health monitoring (SHM); sensor networks; information entropy; cable-stayed bridge. | ||
| Address | ||
| M. Azarbayejani; Dept. of Civil Engineering, University of New Mexico, Albuquerque, NM 87131, U.S.A. A. I. El-Osery; Dept. of Electrical Engineering, New Mexico Tech, Socorro, NM 87801, U.S.A. M. M. Reda Tah; Dept. of Civil Engineering, University of New Mexico, Albuquerque, NM 87131, U.S.A. | ||