CAJ | 학술논문

以山东省永久性沥青路面试验路为研究对象,通过在试验路布设气象观测站,在沥青路面结构不同深度处埋设温度传感器,实测了2007--2008年每1 h的路面温度和气象数据.以距路表面20mm深度处的路面温度作为路表温度,研究了试验路路表温度的分布规律,对路表温度与气温、太阳辐射强度、降雨之间的相关关系进行了计算分析.考虑到降雨对路面材料热学传导参数的影响,分别研究了雨天和晴天(或阴天)两种天气情况下沥青路面路表温度与气温的相关关系,建立了基于晴天(或阴天)和雨天时路表温度的预估模型.分析结果表明,沥青路面的最高温度和最低温度均出现在距路表面一定深度范围内,雨天情况下路表温度与气温存在着密切相关性;晴天和阴天时,前1 h的平均气温和前3 h的平均太阳辐射强度可以较为准确地反映路表温度.路面温度实测值和预测值的对比表明,预估模型具有较高的预测精度和实用性.
이산동성영구성력청로면시험로위연구대상,통과재시험로포설기상관측참,재력청로면결구불동심도처매설온도전감기,실측료2007--2008년매1 h적로면온도화기상수거.이거로표면20mm심도처적로면온도작위로표온도,연구료시험로로표온도적분포규률,대로표온도여기온、태양복사강도、강우지간적상관관계진행료계산분석.고필도강우대로면재료열학전도삼수적영향,분별연구료우천화청천(혹음천)량충천기정황하력청로면로표온도여기온적상관관계,건립료기우청천(혹음천)화우천시로표온도적예고모형.분석결과표명,력청로면적최고온도화최저온도균출현재거로표면일정심도범위내,우천정황하로표온도여기온존재착밀절상관성;청천화음천시,전1 h적평균기온화전3 h적평균태양복사강도가이교위준학지반영로표온도.로면온도실측치화예측치적대비표명,예고모형구유교고적예측정도화실용성.
Taken the test road of Shandong perpetual asphalt pavement as research object,weather observation station was set up near the test road and temperature sensors were installed at different depths of the asphalt pavement to nleasure the hourly climate data in 2007 and 2008.Taken the pavement temperature at 20 mm depth from the surface as the surface temperature of asphalt pavement.distribution pattern of asphalt pavement surface temperature were studied,and the relation of surface temperature with air temperature,solar radiation intensity and rainfall were analyzed.Considering the effect of rainfall on thermal conductivity of asphalt pavement material,the relatiom between air temperature and surface temperature of asphalt pavement during sunny(or cloudy) and rainy days were researched respectively,and the prediction model of surface temperature based on sunny (or cloudy)and miny days were established.The results indicate that(1) the maximum temperature and minimum temperature of asphalt pavement occur at a certain depth from the pavement surface;(2) there is a close relation between surface temperature and air temperature when mining;(3)during sunny and cloudy days,the average temperatures before 1 hour and the average solar radiation intensity before 3 hours can more accurately reflect the float of road surface temperature.Comparison between measured and predicted pavement temperatures indicates that the prediction model has excellent accuracy and good applicability.