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中南大学学报(自然科学版)

Journal of Central South University

第49卷    第12期    总第292期    2018年12月

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文章编号:1672-7207(2018)12-3040-11
京沪铁路钢桁拱桥温差特性的长期监测与分析
王高新1,丁幼亮2

(1. 中国矿业大学 深部岩土力学与地下工程国家重点实验室,江苏 徐州,221008;
2. 东南大学 混凝土及预应力混凝土结构教育部重点实验室,江苏 南京,210096
)

摘 要: 基于大胜关长江大桥温度场的长期监测数据,考察边桁拱整体竖向温差、杆构件横截面温差和桥面构件横向温差的空间分布特征,利用统计学方法对这3类主要温差的正温差和负温差样本分别进行概率统计特征分析,确定其Weibull概率密度函数的参数估计值。参照欧洲规范计算出这3类主要温差的正温差和负温差标准值,并通过温差样本相关性和归类对比分析,最终得到这3类主要温差的最不利温差分布模式。研究结果表明:边桁拱整体竖向温差以及杆件截面温差明显,在结构计算时应予以考虑;正负温差的概率统计特征均可以采用Weibull概率密度函数来较好地描述;整体竖向温差存在3种最不利温差模式,杆件截面温差各存在2种最不利温差模式。研究成果可为钢桁拱桥结构形式的温差效应计算提供参考和依据。

 

关键词: 钢桁拱桥;温差;空间分布特性;概率统计特性;标准值

Long-term monitoring and analysis of characteristics of temperature difference in steel truss arch bridge of Beijing—Shanghai railway
WANG Gaoxin1, DING Youliang2

1. State Key Laboratory for Geomechanics and Deep Underground Engineering,
China University of Mining and Technology, Xuzhou 221008, China;
2. The Key Laboratory of Concrete and Prestressed Concrete Structures of Ministry of Education,
Southeast University, Nanjing 210096, China

Abstract:With the long-term monitoring data of temperature field from the Dashengguan Yangtze Bridge, the spatial distribution characteristics of integral vertical temperature differences from lateral truss arch, cross section temperature differences from bar members and transverse temperature differences from bridge deck members were investigated, and then the probability statistic characteristics of positive and negative temperature difference samples from the lateral truss arch and bar members were analyzed to acquire the estimated parameter values of Weibull distribution. Standard values of positive and negative temperature differences were calculated for continuous steel truss arch girder. Furthermore, the most adverse temperature difference models were obtained for integral vertical temperature differences of lateral truss arch, cross section temperature differences of bar members and transverse temperature differences of bridge deck members, by means of correlation analysis of temperature difference samples, classification and comparison. The results show that the side arch truss contains big vertical temperature gradients and the truss members contain big cross-sectional temperature gradients, which should be taken into consideration during structural calculation; The probability statistics feature of positive and negative temperature gradients can be well described by one Weibull probability density function; The vertical gradients in the whole truss contain three adverse temperature difference patterns, and the cross-sectional temperature gradients between truss members contain two adverse temperature patterns. The research results can provide reference for effect calculation of temperature difference from continuous steel truss arch bridge.

 

Key words: steel truss arch bridge; temperature difference; spatial distribution characteristics; probability statistic characteristics; standard value

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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