SFCC现场导热系数与温度场实测及预测方法研究
作者:
作者单位:

1.长安大学 公路学院,陕西 西安 710064;2.深圳中铁二局工程有限公司, 广东 深圳 518000;3.长安大学 未来交通学院,陕西 西安 710064

作者简介:

牛艳伟(1981—),男,山西定襄人,长安大学副教授,博士生导师,博士.E-mail:niuyanwei@chd.edu.cn

通讯作者:

汤颖颖(1984—),女,湖北竹溪人,长安大学讲师,博士.E-mail:tangyy@chd.edu.cn

中图分类号:

TU528.01

基金项目:

“十四五”国家重点研发计划项目(2021YFB2601002);国家自然科学基金资助项目(51208056);中央高校基本科研业务费专项资金资助项目(300102212909);陕西省自然科学基础研究计划(2023-JC-YB-292)


Experimental Study and Prediction of Thermal Conductivity and Temperature Field of Steel Fiber Reinforced Ceramsite Concrete
Author:
Affiliation:

1.School of Highway, Chang’an University, Xi’an 710064, China;2.Shenzhen Engineering Company of CREGC, Shenzhen 518000, China;3.College of Future Transportation, Chang’an University, Xi’an 710064, China

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    摘要:

    为确定钢纤维页岩陶粒混凝土(SFCC)现场实际的导热系数,与桥面板施工同步制作了不同钢纤维体积分数的SFCC试件,采用热板法进行测定,校核并扩展了导热系数预测公式,并且对高温沥青摊铺时SFCC桥面板的温度场进行了实测和数值模拟.结果表明:环境湿度为67%时,SFCC的实测导热系数为0.915~1.409 W/(m·K),增加钢纤维体积分数可提高SFCC导热系数;考虑湿度和钢纤维影响后的扩展Maxwell公式预测值与实测值吻合良好;高温沥青摊铺时桥面板SFCC混凝土内的温度梯度可达20.5 ℃,超过规范日温差,采用数值模拟可有效计算桥面板温度场.

    Abstract:

    In order to determine the in situ actual thermal conductivity of steel fiber ceramsite concrete (SFCC), specimens were made synchronously with the construction of bridge deck and measured by the hot-plate method. The existing thermal conductivity prediction equation was verified and extended. Measurement and numerical simulation of temperature field of bridge deck during high temperature asphalt paving were carried out. The results show that when environment humidity is 67%, the measured thermal conductivity of SFCC is between 0.915-1.409 W/(m · K), and the increase of steel fiber will improve the thermal conductivity. Considering the environmental humidity and effect of steel fiber, the extend Maxwell equation prediction results agree well with test results. The temperature variation of SFCC under high temperature paving can attend 20.5 ℃, which is more unfavorable than daily temperature difference in the specification. The numerical simulation method can effectively calculate the temperature gradient of the bridge deck.

    表 2 钢纤维页岩陶粒混凝土配合比Table 2 Mix proportion of steel fiber reinforced ceramisite concrete
    图1 主梁及桥面示意图Fig.1 Main girder and deck detail (size:mm)
    图2 导热系数试件Fig.2 Thermal conductivity specimen
    图3 试件3#-3的局部图Fig.3 Partial view of specimen 3#-3
    图4 桥面板温度场传感器布设Fig.4 Distribution of deck temperature sensors(size:cm)
    图5 实测温度场传感器布设Fig.5 Distribution of sensors of temperature field
    图6 各试件导热系数试验值Fig.6 Experimental value of thermal conductivity of each specimen
    图7 SFCC与普通钢纤维混凝土的导热系数Fig.7 Thermal conductivity of SFCC and general steel fiber concrete
    图8 SFCC与SFC的导热系数增长率Fig.8 Growth rate of thermal conductivity for SFCC and SFC
    图9 Maxwell公式计算值与试验值对比Fig.9 Comparison of thermal conductivity from Maxwell equation and experimental value
    图10 扩展公式计算值与试验值对比Fig.10 Comparison of thermal conductivity from extended equation and experimental value
    图11 模型适用性分析Fig.11 Model feasibility analysis
    图12 实测温度场时变分布Fig.12 Distribution of temperature field varying with time
    图13 温度梯度对比Fig.13 Comparison of temperature gradient
    图14 Abaqus模拟时变温度分布Fig.14 Abaqus simulation of temperature distribution varying with time
    图15 导热系数对温度场影响的参数分析Fig.15 Parameter analysis of effect of thermal conductivity on temperature field
    表 1 原材料产地和规格Table 1 Production place and specification of raw material
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引用本文

牛艳伟,匡笑艳,郑军涛,党王辉,汤颖颖.SFCC现场导热系数与温度场实测及预测方法研究[J].建筑材料学报,2024,27(3):245-252

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  • 收稿日期:2023-05-05
  • 最后修改日期:2023-09-13
  • 在线发布日期: 2024-04-07
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