The Research of High-speed Rail Bridge Construction Deformation Prediction System Based on Genetic Neural Network

DOI

10.2991/icmce-14.2014.103How to use a DOI?

Keywords

Construction Monitoring, Neural Network, Continuous Beam Bridge

Abstract

Based on the structural feature of high speed railway bridge , one space finite element model is established for the construction of the influence factors of the bridge deformation sensitivity analysis . Using adaptive genetic algorithm and neural network technology , taking the deformation of the bridge sample error minimizing as the objective function to get the new BP neural network after the neural network model weights and thresholds optimized. And compile eformation intelligent forecasting system based on MATLAB platform. Taking the cantilever construction of Shanghai-Kunming high-speed rail a continuous beam of measured data compared with the predicted results of experimental data, the results shows that the method is of high accuracy , good feasibility, provided reference for high precision linear intelligent control to similar Bridges

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Cheng-Xue YU
AU  - Mian TANG
AU  - Yu-Cai NING
AU  - Xu-Hui HE
PY  - 2014/12
DA  - 2014/12
TI  - The Research of High-speed Rail Bridge Construction Deformation Prediction System Based on Genetic Neural Network
BT  - Proceedings of the 2014 International Conference on Mechanics and Civil Engineering
PB  - Atlantis Press
SP  - 589
EP  - 594
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmce-14.2014.103
DO  - 10.2991/icmce-14.2014.103
ID  - YU2014/12
ER  -