建筑钢结构进展2026，Vol.28Issue(4)：47-55,9.DOI:10.13969/j.jzgjgjz.20240929001
钢框架-支撑结构施工变形分析及预测方法研究
Research on the Construction Deformation Analysis and Prediction Method of Braced Steel Frames
摘要
Abstract
In this paper,the influences of welding deformation,installation error,and loading schemes on the construction deformation of braced steel frames are taken into account.A construction deformation database for such structures under different processes is established by employing the finite element method.Furthermore,four influential factors,namely welding sequence,cooling temperature,vertical deviation of columns,and loading schemes,are selected to establish a construction deformation prediction model based on the PSO-BP neural network.The accuracy of the established model is verified by using actual engineering data.The results indicate that the vertical deformation during the construction of braced steel frames is mainly controlled by welding sequence and loading schemes,accounting for 61%and 37%respectively.The lateral deformation is mainly controlled by the vertical deviation error of columns,accounting for 94%of the total lateral deformation.Compared with the actual engineering data,the established PSO-BP neural network model yields a prediction error of less than 5%,indicating that it can accurately predict the construction deformation of the braced steel frame system.This study can offer a reference for early decision-making in construction.关键词
钢框架-支撑结构/施工变形/焊接顺序/柱身垂偏/PSO-BP神经网络Key words
braced steel frame/construction deformation/welding sequence/column verticality deviation/PSO-BP neural network分类
建筑与水利引用本文复制引用
刘哲,梁鹏,徐万林,苗子臻,周学军,孙延振..钢框架-支撑结构施工变形分析及预测方法研究[J].建筑钢结构进展,2026,28(4):47-55,9.基金项目
山东省重点研发计划(2024CXGC010321),山东省住房和城乡建设科技计划(2024KYKF-JZGYH103) （2024CXGC010321）
