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Abstract

To study the optimization of cable force on temporary piers during pushing construction of PC box girders, this paper took the continuous box girders of cross-railway pushing construction in Hunan as the research background, and built a finite element model for structural simulation analysis. Based on BP neural networks-genetic algorithm (GA), a method for optimizing cable force on temporary piers during the pushing construction of main girders was proposed. Meanwhile, by employing Matlab programming and finite element software, the optimization of cable force on temporary piers of PC pushing box girders was studied. The results show that after optimization, the maximum horizontal displacement at the top of each temporary pier is significantly reduced, with a maximum decrease of 35.0%. The maximum stress at the bottom of each pier also notably decreases and is distributed more evenly, with a maximum stress reduction of 37%. After optimization, the structural stress safety is effectively improved, which also verifies the effective application of BP neural network-GA in the optimization of cable force on temporary piers.

Publication Date

1-18-2024

DOI

10.14048/j.issn.1671-2579.2023.06.037

First Page

234

Last Page

239

Submission Date

March 2025

Reference

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