An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-09-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
This study deals with an inverse method to identify moving loads on bridge decks using the finite element method (FEM) and a coupled genetic algorithm (c-GA).
We developed the inverse technique using a coupled genetic algorithm that can make global solution searches possible as opposed to classical gradient-based optimization techniques.
The technique described in this paper allows us to not only detect the weight of moving vehicles but also find their moving velocities.
To demonstrate the feasibility of the method, the algorithm is applied to a bridge deck model with beam elements.
In addition, 1D and 3D finite element models are simulated to study the influence of measurement errors and model uncertainty between numerical and real structures.
The results demonstrate the excellence of the method from the standpoints of computation efficiency and avoidance of premature convergence.
American Psychological Association (APA)
Lee, Sang-Youl. 2014. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044280
Modern Language Association (MLA)
Lee, Sang-Youl. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1044280
American Medical Association (AMA)
Lee, Sang-Youl. An Advanced Coupled Genetic Algorithm for Identifying Unknown Moving Loads on Bridge Decks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1044280
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1044280