Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties
Joint Authors
Liu, Hanbing
Gong, Yafeng
Jiao, Yu-bo
Wang, Xianqiang
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-08-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Urban overpass is an important component of transportation system.
Health condition of overpass is essential to guarantee the safe operation of urban traffic.
Therefore, damage identification of urban overpass possesses important practical significance.
In this paper, finite element model of left auxiliary bridge of Qianjin Overpass is constructed and vulnerable sections of structure are chosen as objects for damage recognition.
Considering the asymmetry of Qianjin bridge, change rate of modal frequency and strain ratio are selected as input parameters for hybrid neurogenetic algorithm, respectively.
Identification effects of damage location and severity are investigated and discussed.
The results reveal that the proposed method can successfully identify locations and severities with single and multiple damage locations; its interpolation ability is better than extrapolation ability.
Comparative analysis with BP neural network is conducted and reveals that the damage identification accuracy of hybrid neurogenetic algorithm is superior to BP.
The effectiveness between dynamic and static properties as input variable is also analyzed.
It indicates that the identification effect of strain ratios is more satisfactory than frequency ratio.
American Psychological Association (APA)
Liu, Hanbing& Wang, Xianqiang& Gong, Yafeng& Jiao, Yu-bo. 2015. Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073744
Modern Language Association (MLA)
Liu, Hanbing…[et al.]. Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties. Mathematical Problems in Engineering No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1073744
American Medical Association (AMA)
Liu, Hanbing& Wang, Xianqiang& Gong, Yafeng& Jiao, Yu-bo. Damage Identification of Urban Overpass Based on Hybrid Neurogenetic Algorithm Using Static and Dynamic Properties. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1073744
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073744