CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12793 > Article
Paper
26 September 2023 Parameter identification of cable-stayed bridge with asymmetric double cantilever girder construction based on BP neural network
Yuping Zhang, Xiaowen Zhang, Jian Wu, Chao Wei
Author Affiliations +
Proceedings Volume 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023); 127931K (2023) https://doi.org/10.1117/12.3006743
Event: International Conference on Mechatronics and Intelligent Control (ICMIC2023), 2023, Wuhan, China
Abstract
In order to solve the problem of deviation between the calculated value of the design parameters and the actual situation in the finite element calculation of the hybrid girder cable-stayed bridge using the asymmetrical double cantilever construction method, a BP neural network parameter identification method based on sparrow search algorithm optimization is proposed. A hybrid girder cable-stayed bridge using this construction method is taken as the research object. According to the characteristics of this method, the main parameters to be identified are determined through parameter analysis, namely-the weight of main girder of side span and middle span, the final tension force of side span and middle span, and the elastic modulus of stay cable. Based on the uniform design method, 126 training samples were obtained, and the BP neural network model was established, which was optimized by sparrow search algorithm. The trained neural network model is used to predict the parameters to be recognized. The results show that the self-weight of the main beam of the side span and the middle span should be modified by 2.02% and 4.40% respectively. The cable force of side span and middle span should be revised by 4.93% and 3.48% respectively. The elastic modulus of stay cable shall be revised by 2.46%. The corrected results are substituted into the finite element model, and the corrected theoretical values are closer to the measured values. The side span elevation error is within 2.0cm. The mid-span elevation error is within 2.5cm. The tower deviation error is 0.9cm.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Yuping Zhang, Xiaowen Zhang, Jian Wu, and Chao Wei "Parameter identification of cable-stayed bridge with asymmetric double cantilever girder construction based on BP neural network", Proc. SPIE 12793, International Conference on Mechatronics and Intelligent Control (ICMIC 2023), 127931K (26 September 2023); https://doi.org/10.1117/12.3006743
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 12 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Neural networks
Elastic modulus
Bridges
Design and modelling
Education and training
Evolutionary algorithms
Mathematical optimization
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top