摘要
以武汉市某混凝土箱梁桥为对象,对其温度场和气象数据进行了长期监测,采用传热学仿真软件TAITHERM对该桥的温度场进行了时程分析,仿真计算结果与实测数据吻合良好,从而验证了仿真计算方法的准确性;通过数据拟合和统计分析,预测得到了武汉地区混凝土箱梁桥的竖向温度梯度模式,并将其与现行公路规范进行了对比。研究结果表明,混凝土箱梁的竖向温度梯度呈非线性分布,与公路桥规中的线性分布形式存在一定差异;竖向最大温度梯度在箱梁顶板范围内变化较为明显,分布曲线呈指数函数形式,且在箱梁底板处也存在一定的温度梯度,需引起重视。
In order to study the vertical temperature gradient mode of concrete box girder in depth,a concrete box girder bridge in Wuhan is taken as the object,and its temperature field and meteorological data are monitored for a long time.The temperature field of the bridge is monitored by the heat transfer simulation software TAITHERM.Time history analysis is carried out,and the simulation calculation results are in good agreement with the measured data,thus verifying the accuracy of the simulation calculation method.Through data fitting and statistical analysis,the vertical temperature gradient model of the concrete box girder bridge in Wuhan is predicted,and is compared with the current highway code.The research results show that the vertical temperature gradient of the concrete box girder is in a non-linear distribution,which is different from the linear distribution in the highway bridge plan.The maximum vertical temperature gradient changes more obviously in the range of the roof,and the distribution curve is in the form of an exponential function.There is a certain temperature gradient at the bottom plate,which needs to be paid attention to.
作者
肖尊群
龚伟康
杨宏印
柏超
刘章军
王昌军
XIAO Zun-qun;GONG Wei-kang;YANG Hong-yin;BAI Chao;LIU Zhang-jun;WANG Chang-jun(Xingfa School of Mining Engineering,Wuhan Institute of Technology,Wuhan 430073,China;School of Civil Engineering and Architecture,Wuhan Institute of Technology,Wuhan 430073,China;State Key Laboratory for Health and Safety of Bridge Structures,Wuhan 430034,China;Yiyao(Fujian)Engineering Co.Ltd.,Putian 351100,China)
出处
《公路》
北大核心
2022年第9期183-188,共6页
Highway
基金
桥梁结构健康与安全国家重点实验室开放课题,项目编号2017-04-GF
武汉市城乡建设局科技计划项目,项目编号201919
福建省住建厅科技研究项目,项目编号2022-K-15。
关键词
混凝土箱梁
竖向温度梯度
实测数据
温度分布
分析研究
concrete box girder
vertical temperature gradient
measured data
temperature distribution
analysis and study