摘要
根据泉州湾高铁斜拉桥桥塔1年实测温度和气象资料,采用Bootstrap方法建立桥塔截面均匀温度分量的最大熵极值模型,分析桥塔截面均匀温度分量的日变化和年变化特征,估算桥塔截面均匀温度分量在不同重现期的温度代表值。预测一定重现期内桥塔截面均匀温度分量日极值的时程曲线及其表达式,得到均匀温度极值的时空特征。研究结果表明:桥塔截面均匀温度分量以年为周期随季节变化,呈余弦式曲线波动;春秋季的桥塔截面均匀温度分量日变化幅值比夏季的大,但远小于年变化幅值,对桥塔变形的影响可忽略不计;桥塔截面均匀温度分量50年一遇和100年一遇的最高温度代表值分别为36.09℃和36.48℃,最低温度代表值分别为3.91℃和3.52℃;本文所提方法可为桥塔等结构根据短期温度实测值建立极值概率模型并预测极端环境条件下桥塔等结构的均匀温度极值。
Based on the one-year temperature monitoring data and meteorological data,the maximum entropy extremum model of the uniform temperature component of the tower using Bootstrap method was established,the characteristics of the daily and annual variation of the uniform temperature component of the tower were analyzed,and the temperature extremes of the tower were estimated in different return periods.The time-history curves and its expressions of the daily extreme value of the uniform temperature component of the tower in a certain return period were estimated,and the spatiotemporal characteristics of the extreme value were obtained.The results show that the uniform temperature component of the tower varies seasonally and fluctuates as a cosine curve during the annual cycle.The amplitude of the daily variation of the uniform temperature component of the tower is larger than that of the summer in spring and autumn,but it is much smaller than the annual variation amplitude,and the influence on the deformation of the tower can be ignored.The maximum uniform temperatures component of the tower within the 50-year return period and 100-year return period are 36.09℃and 36.48℃,and the minimum temperatures are 3.91℃and 3.52℃.The proposed method can be used to establish extreme value probability models for structures such as towers based on short-term temperature monitoring data and predict the extreme values of uniform temperature component of structures such as towers under the extreme environmental conditions.
作者
戴公连
张昂
王芬
杨爽
张强强
饶惠明
DAI Gonglian;ZHANG Ang;WANG Fen;YANG Shuang;ZHANG Qiangqiang;RAO Huiming(School of Civil Engineering,Central South University,Changsha 410075,China;Southeast Coastal Railway Fujian Co.Ltd.,Fuzhou 350013,China)
出处
《中南大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2023年第6期2100-2110,共11页
Journal of Central South University:Science and Technology
基金
国家自然科学基金资助项目(51708560)
中国铁路总公司科技研究开发计划重点项目(2017G006-N)
湖南省自然科学基金资助项目(2018JJ3672)。
关键词
高速铁路桥梁
混凝土桥塔
均匀温度分量
最大熵分布
BOOTSTRAP方法
极值分析
high-speed railway bridge
concrete tower
uniform temperature component
the maximum entropy distribution
Bootstrap method
extreme value analysis
