摘要
文中以赣深客运专线拱辅式组合桥为背景,开展长期过度下挠控制措施的控制效应分析与作用效果评估.基于多座大桥的实测数据,采用响应面法拟合长期挠度和结构参数之间的函数关系,建立大跨PC连续梁长期下挠预测模型;进一步,基于反演理论的梁体抗弯刚度计算方法,提出了基于比拟刚度法的长期下挠控制效果评估框架.依托工程实例,在等荷载分担比前提下,应用上述框架开展参数分析,研究结果表明:基于实测数据拟合的预测函数相关性较好;连续梁结构长期下挠对主梁梁高及跨径变化更敏感;施加拱辅式结构后,能降低连续梁结构长期下挠值,对比不同跨径连续梁长期下挠减少约88.2%,不同梁高连续梁长期下挠减少约89.1%.
Based on the arch-assisted composite bridge of Jiangxi-Shenzhen passenger dedicated line,the control effect analysis and effect evaluation of long-term excessive deflection control measures were carried out.Based on the measured data of several bridges,the response surface method was used to fit the functional relationship between long-term deflection and structural parameters,and the long-term deflection prediction model of long-span PC continuous beams was established.Furthermore,based on the calculation method of bending stiffness of beam body based on inversion theory,an evaluation framework of long-term deflection control effect based on comparable stiffness method was proposed.Relying on an engineering example,under the premise of equal load sharing ratio,the above framework was applied to carry out parameter analysis.The research results show that the prediction function based on measured data fitting has good correlation.Long-term deflection of continuous beam structure is more sensitive to the change of main beam height and span.After applying arch-assisted structure,the long-term deflection of continuous beam structure can be reduced,which is about 88.2%lower than that of continuous beams with different spans and 89.1%lower than that of continuous beams with different beam heights.
作者
郑宏利
ZHENG Hongli(China Railway 16thBureau Group Road&Bridge Engineering Co.Ltd.,Beijing101500,China)
出处
《武汉理工大学学报(交通科学与工程版)》
2025年第1期117-122,共6页
Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金
中国铁建股份有限公司年度科技计划(18-B07)
中铁十六局校期资助基金(07WTX-JSFW-2019-0001)。
关键词
拱辅式体系
无砟轨道
连续梁
长期挠度
预测模型
比拟刚度法
arch assisted system
ballastless track
continuous beam
long-term deflection
prediction model
analogy stiffness method
