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基于寒区混凝土连续箱梁长期监测数据的温度场试验分析 被引量:4

Experimental Analysis of Temperature Field Based on Long-term Monitoring Data of Concrete Continuous Box Girder in Cold Area
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摘要 分析桥梁年温度分布规律是研究混凝土箱梁温度应力的基础,本文以齐齐哈尔某座运营期的混凝土连续箱梁为研究对象,采集为期一年的温度数据,并对监测数据以统计学的手段进行分析,得出11#跨的跨中截面处不同位置的温度变化规律,采用加权Weibull分布建立概率密度分布模型。研究结果表明:年温度变化趋势和年温差变化趋势都具有明显的季节变化性和几何对称性,同时顶板之间与底板之间均具有一定的横向温差,而顶板与底板之间具有一定的竖向温差。通过2个Weibull分布的加权和对该寒区混凝土箱梁的正负温差进行拟合,求得不同测点间温差概率密度分布函数的参数。 The analysis of the annual temperature distribution of bridge is the basis of studying the temperature stress of concrete box girder.This study took a concrete continuous box girder in operation period in Qiqihar as the research object,and carried out a 1-year monitoring of the temperature.Data collected from the monitoring process were then analyzed by statistical means.The temperature variation law of different positions at the middle section of the 11 span was obtained,and the probability density distribution model was established using the weighted Weibull distribution.The results showed that the annual temperature change trend and the annual temperature difference change trend had obvious seasonal variation and geometric symmetry;meanwhile,there was a certain horizontal temperature difference between the roof and the floor,and a vertical temperature difference between the roof and the floor.Through the weighted sum of two Weibull distributions,the positive and negative temperature difference of concrete box girder in the cold region was fitted,and the parameters of probability density distribution function of temperature difference between different measuring points were obtained.
作者 谢凯 孙全胜 胡丹丹 刁万民 XIE Kai;SUN Quansheng;HU Dandan;DIAO Wanmin(School of Civil Engineering,Northeast Forestry University,Harbin 150040,China;Heilongjiang Provincial Highway Construction Center,Harbin 150081,China)
出处 《森林工程》 北大核心 2021年第5期96-104,共9页 Forest Engineering
基金 黑龙江省交通运输厅科技项目(2020HLJ018)。
关键词 混凝土箱梁 桥梁工程 寒冷地区 温度监测 温差分布 概率密度分布 Concrete box girder bridge engineering cold areas temperature monitoring temperature difference distribution probability density distribution
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