建筑钢结构进展2024，Vol.26Issue(6)：12-21,44,11.DOI:10.13969/j.cnki.cn31-1893.2024.06.002
预应力撑杆构件交互屈曲与承载力智能估计方法
Interactive Buckling in Prestressed Stayed Members and Load-Carrying Capacity Intelligent Evaluation Method
摘要
Abstract
Prestressed stayed members have beautiful shape and high material efficiency,but they are susceptible to multi-modal interaction failure so-called"interactive buckling"owing to their slender configuration,which can affect their load-carrying capacity and buckling behaviour significantly.This paper investigates the interactive buckling in the symmetric and asymmetric prestressed stayed members as columns and beam-columns,such as its effects on buckling behaviour and load-carrying capacity,and develops the load-carrying capacity evaluation model via artificial neural network(ANN)based on regression algorithm.The results show that,for the prestressed stayed member,modal interaction can lead to unstable post-buckling behaviour and significant load-carrying capacity reduction.This reduction is dominated by structural geometric parameters and the buckling loads of interactive modes,and the reduction degree is affected by stay asymmetry and prestressing levels.The proposed ANN model for load-carrying capacity evaluation can take interactive buckling into accounts,and its accuracy,reliability and applicability are acceptable.This study can provide research foundation for developing the intelligent design software of the prestressed stayed member,which can satisfy the requirement for structural design in engineering practices.关键词
预应力撑杆构件/有限元分析/机器学习/交互屈曲/承载力/人工神经网络Key words
prestressed stayed member/finite element analysis/machine learning/interactive buckling/load-carrying capacity/artificial neural network分类
建筑与水利引用本文复制引用
毋凯冬,李国强,常好诵,邢哲..预应力撑杆构件交互屈曲与承载力智能估计方法[J].建筑钢结构进展,2024,26(6):12-21,44,11.基金项目
国家自然科学基金(52208161),中央高校业务经费(B220201017) （52208161）
