Optimization of Infill Concrete Dimension in Composite Girder Box Based on IGRNN

Authors

WANG Yafeng, School of Civil and Environmental Engineering, Changsha University of Science & Technology, Changsha, Hunan 410114, ChinaFollow
LIU Jian, School of Civil and Environmental Engineering, Changsha University of Science & Technology, Changsha, Hunan 410114, China
KE Hongjun, School of Civil and Environmental Engineering, Changsha University of Science & Technology, Changsha, Hunan 410114, China

Abstract

The mechanical performance of the negative bending moment zone of steel-concrete composite continuous girders has always been a focus of attention in bridge engineering.Existing research mainly proposes improvement measures for the tension of concrete bridge decks,while paying little attention to the common phenomenon of steel girders bearing pressure.The steel girders in steel-concrete composite girders,especially the steel bottom plate in the negative bending moment area of the pier top,bear the highest compressive stress of the entire bridge.Therefore,by taking a steel-concrete composite girder bridge in Zhejiang Province as the engineering background,it is proposed to partially fill the interior of the box girder in the pier-top negative bending moment zone with the cast-in-place concrete during the construction phase,so as to reduce the compressive stress borne by the steel bottom plate.Firstly,an Ansys finite element model of the composite girder bridge was established for stress analysis.Then,by taking the length and vertical thickness of the infill concrete along the longitudinal bridge direction as variable parameters and the minimum peak compressive stress in the steel girder bottom plate as the optimization objective,an improved generalized regression neural network (IGRNN ) was used for dimensional optimization.Finally,the predicted optimal dimensions were substituted into the finite element model to verify the accuracy of the predictions.The results indicate that filling a certain amount of concrete into the box girder in the pier-top negative bending moment zone can significantly reduce the compressive stress in the steel bottom plate.Additionally,the IGRNN can greatly improve dimensional optimization efficiency.For the composite girder bridge examined,the compressive stress in the steel bottom plate corresponding to the predicted optimal dimensions is within 5% of the value calculated by the finite element model.The optimized compressive stress in the steel bottom plate is reduced by 74.9% compared to the original structure,indicating significant improvement.The findings and methods can provide a reference for reducing the compressive stress in the steel girder bottom plate at the pier top and related issues for similar bridges.

Publication Date

12-24-2025

DOI

10.14048/j.issn.1671-2579.2025.06.018

First Page

159

Last Page

166

Submission Date

December 2025

Recommended Citation

Yafeng, WANG; Jian, LIU; and Hongjun, KE (2025) "Optimization of Infill Concrete Dimension in Composite Girder Box Based on IGRNN," Journal of China & Foreign Highway: Vol. 45: Iss. 6, Article 18.
DOI: 10.14048/j.issn.1671-2579.2025.06.018
Available at: https://zwgl1980.csust.edu.cn/journal/vol45/iss6/18

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