|Table of Contents|

Intelligent Construction Control of Continuous Rigid Frame Bridge with Corrugated Steel Webs During Erection Process(PDF)

《建筑科学与工程学报》[ISSN:1673-2049/CN:61-1442/TU]

Issue:
2022年04期
Page:
137-145
Research Field:
Publishing date:

Info

Title:
Intelligent Construction Control of Continuous Rigid Frame Bridge with Corrugated Steel Webs During Erection Process
Author(s):
BAI Yun-teng1; 2;  WANG Xiao-ming1; 2;  LU Zhe-yuan3;  ZHANG Jia-ding4
(1. Institute of Bridge Engineering, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Key Laboratory of Transport Industry of Bridge Detection Reinforcement Technology, Chang'an University, Xi'an 710064, Shaanxi, China; 3. Yellow River Engineering Consulting Co., Ltd., Zhengzhou 450003, Henan, China; 4. CCCC Second Highway Engineering Co., Ltd., Xi'an 710065, Shaanxi, China)
Keywords:
erection process;  corrugated steel web;  continuous rigid frame bridge;  deflection prediction;  MEC-BP neural network;  intelligent construction control
PACS:
TU745
DOI:
10.19815/j.jace.2022.03115
Abstract:
Aiming at the deflection prediction problem caused by web shear deformation during the erection of corrugated steel web continuous rigid frame bridge, the deflection prediction framework of BP neural network(MEC-BP)optimized by mind evolutionary algorithm(MEC)was established, and an intelligent construction control module based on visual control system was developed. The deflection prediction framework mainly included three parts. Firstly, the data set used to establish the prediction model was obtained, in which the input samples and output samples were generated by Latin Hypercube Sampling(LHS)technology and high-precision solid finite element model respectively. Then, based on the obtained data set, the deflection prediction model based on MEC-BP neural network was established, and the performance of the model was evaluated according to the statistical criteria. Finally, the well-trained MEC-BP model was used to predict the deflection of corrugated steel web continuous rigid frame bridge. The intelligent construction control module mainly included two parts. Firstly, a hierarchical early warning index system according to the specifications was established, which were red, yellow and green early warning respectively. Secondly, the construction control module was developed based on the visual control system, and the mobile APP was developed. On the basis, combined with the MEC-BP prediction model, the intelligent construction control of the erection process of corrugated steel web continuous rigid frame bridge was realized. Taking Liangqugou bridge as the background, the deflection prediction results were compared and verified with the field measured values. The results show that the deflection prediction values of MEC-BP prediction model are in good agreement with the field measured values, and the prediction errors meet the requirements. The intelligent construction control system successfully gives early warning three times during the erection of Liangqugou bridge, which helps the construction of Liangqugou bridge to a complete success. The research results can provide a theoretical basis for the intelligent control of the erection and construction of corrugated steel web continuous rigid frame bridge.

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Last Update: 2022-07-10