Determining the Optimal Placement of Sensors on a Concrete Arch Dam Using a Quantum Genetic Algorithm
Joint Authors
Gu, Chongshi
Qiu, Jianchun
Zhu, Kai
Liu, Wanxin
Fang, Chunhui
Liu, Yan
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-02-01
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Structural modal identification has become increasingly important in health monitoring, fault diagnosis, vibration control, and dynamic analysis of engineering structures in recent years.
Based on an analysis of traditional optimization algorithms, this paper proposes a novel sensor optimization criterion that combines the effective independence (EFI) method with the modal strain energy (MSE) method.
Considering the complex structure and enormous degrees of freedom (DOFs) of modern concrete arch dam, a quantum genetic algorithm (QGA) is used to optimize the corresponding sensor network on the upstream surface of a dam.
Finally, this study uses a specific concrete arch dam as an example and determines the optimal sensor placement using the proposed method.
By comparing the results with the traditional optimization methods, the proposed method is shown to maximize the spatial intersection angle among the modal vectors of sensor network and can effectively resist ambient perturbations, which will make the identified modal parameters more precise.
American Psychological Association (APA)
Zhu, Kai& Gu, Chongshi& Qiu, Jianchun& Liu, Wanxin& Fang, Chunhui& Liu, Yan. 2016. Determining the Optimal Placement of Sensors on a Concrete Arch Dam Using a Quantum Genetic Algorithm. Journal of Sensors،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110378
Modern Language Association (MLA)
Zhu, Kai…[et al.]. Determining the Optimal Placement of Sensors on a Concrete Arch Dam Using a Quantum Genetic Algorithm. Journal of Sensors No. 2016 (2016), pp.1-10.
https://search.emarefa.net/detail/BIM-1110378
American Medical Association (AMA)
Zhu, Kai& Gu, Chongshi& Qiu, Jianchun& Liu, Wanxin& Fang, Chunhui& Liu, Yan. Determining the Optimal Placement of Sensors on a Concrete Arch Dam Using a Quantum Genetic Algorithm. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1110378
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110378