建筑钢结构进展2025，Vol.27Issue(3)：22-31,10.DOI:10.13969/j.jzgjgjz.20230927002
自复位钢桁框的强度折减系数概率模型
Probability Model for Strength Reduction Factors of Self-centering Steel Truss Moment Frames
摘要
Abstract
In order to improve the seismic resilience of steel truss moment frame systems,the concept of self-centering steel truss moment frame system is proposed.The study focuses on the strength reduction factor of self-centering steel truss moment frame systems under pulse-like ground motions.The behavior of steel truss moment frame system with trilinear hysteretic rules is well studied using an equivalent single-degree-of-freedom(ESDOF)system.Nonlinear dynamic analysis are conducted on the ESDOF system with various hysteretic parameter combinations under 182 pulse-like ground motions,resulting in a database containing 60.22 million strength reduction factors.The study explores the influences of different hysteretic parameters and pulse-like ground motions on the strength reduction factor.Furthermore,the parameters of the log-normal distribution models for the strength reduction factors under earthquakes are fitted using BP neural networks.A probability-based model for the strength reduction factor of the self-centering steel truss frame system is established.The results demonstrate the accuracy of the proposed model.关键词
抗震可恢复性/自复位/桁框结构/强度折减系数/非线性动力分析/BP神经网络Key words
seismic resilience/self-centering/truss moment frame/strength reduction factor/nonlinear dynamic analysis/BP neural network分类
土木建筑引用本文复制引用
刘艳芝,蓝雅云,颜阳,柯珂..自复位钢桁框的强度折减系数概率模型[J].建筑钢结构进展,2025,27(3):22-31,10.基金项目
国家自然科学基金(52178111) （52178111）
