首页|基于直接分析法的钢结构非线性施工过程分析

基于直接分析法的钢结构非线性施工过程分析

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对于大型复杂空间钢结构,可靠的施工过程分析对保障施工安全性和钢结构安装质量具有重要意义.在传统施工过程分析与钢结构直接分析的基础上,提出一种考虑构件和安装模块初始缺陷以及变形累积的钢结构非线性施工过程分析方法.利用NIDA软件将该方法应用于成都某大悬挑钢桁架结构的施工过程分析中,确保了施工方案的可行性.同时,对比分析了非线性施工过程分析、一次成型分析和线性施工过程分析3种分析工况下结构关键节点位移及构件应力情况,并与施工实测值进行了比对.结果表明,一次成型分析与线性施工过程分析的位移较实测值偏小,而基于直接分析法的非线性施工过程分析结果与实测值更加吻合,验证了该方法的准确性及适用性.
Non-linear Staged Construction Analysis of Steel Structures Based on the Direct Analysis Method
A reliable staged construction analysis is crucial for ensuring the safety and quality of steel installations in large and complex spatial structures.This paper proposes a non-linear staged construction analysis method for steel structures that accounts for initial imperfections of members and installation modules,as well as deformation accumulation,based on the traditional staged construction analysis and the direct analysis of steel structures.Using NIDA software,the method is applied to analyze the staged construction of a large overhanging steel truss structure in Chengdu,for ensuring the feasibility of the construction plan.Meanwhile,the displacements of critical structural locations and member stresses under the three working conditions of non-linear staged construction analysis,one-shot analysis and linear staged construction analysis are compared and analyzed.These results are then compared to the actual measured results from the construction.The results indicate that the displacements of the one-shot analysis and linear staged construction analysis are smaller than the measured results.However,the results of the non-linear staged construction analysis based on the direct analysis method are more consistent with the measured results,which verified the accuracy and applicability of the proposed method.

steel structurestaged construction analysisdirect analysis methodinitial imperfectionnon-linear

刘宏伟、傅宇、赵雷、邹定富、陈适、余志祥

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西南交通大学 土木工程学院,成都 610031

成都建工第七建筑工程有限公司,成都 610055

钢结构 施工过程分析 直接分析法 初始缺陷 非线性

2024

建筑钢结构进展
同济大学

建筑钢结构进展

CSTPCD北大核心
影响因子:0.806
ISSN:1671-9379
年,卷(期):2024.26(7)
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