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Numerical investigation and thermal predictions of asphalt pavement containing inductive materials under alternating magnetic field
International Journal of Thermal Sciences ( IF 4.5 ) Pub Date : 2020-07-01 , DOI: 10.1016/j.ijthermalsci.2020.106353
Kai Liu , Dongling Dai , Shengming Pan , Fusheng Wang , Chaoqun Hou , Peixin Xu

Abstract Inductive heating asphalt pavement (IHAP) has been widely investigated as the functional pavement, and IHAP is heated by induction heating of randomly dispersed inductive material under alternating magnetic field. Due to the randomly dispersed heat sources in IHAP, it is easy to cause uneven temperature distribution, which is difficult to be described by the existing thermal calculation methods. To reflect the dispersed states of the heat sources and air voids in IHAP and regulate the pavement temperature field, a novel heat source simulation method was proposed through the modified random aggregate algorithm, and an induction heating simulation of IHAP was established. The maximal temperature (Tmax) and average temperature (Tave) of the pavement surface were used as the prediction targets, and the influences of the operational parameters, material composition and the environmental factors on the above targets were discussed. To increase Tmax and Tave, operational parameters and waste steel shavings content should be increased, while the increment of ambient temperature and the decrement of heat transfer coefficient are beneficial to the increase of Tmax and Tave. Moreover, the prediction models between the above influencing factors and the targets were established by response surface methodology. The prediction models and suggestions for acquiring reasonable targets could provide scientific guidance for applications of the IHAP to achieve various pavement functions.

中文翻译:

交变磁场下含电感材料沥青路面的数值研究与热预测

摘要 感应加热沥青路面(IHAP)作为功能性路面得到了广泛的研究,IHAP是通过在交变磁场下对随机分散的感应材料进行感应加热来加热的。由于IHAP中热源随机分散,容易造成温度分布不均,现有热计算方法难以描述。为反映IHAP中热源和气孔的分散状态,调节路面温度场,通过改进的随机聚合算法提出一种新的热源模拟方法,并建立了IHAP的感应加热模拟。以路面最高温度(Tmax)和平均温度(Tave)为预测目标,受运行参数的影响,对上述目标的材料成分和环境因素进行了讨论。提高Tmax和Tave,应提高运行参数和废钢屑含量,而环境温度的升高和传热系数的降低有利于Tmax和Tave的提高。此外,通过响应面方法建立了上述影响因素与目标之间的预测模型。获得合理目标的预测模型和建议可为应用IHAP实现各种路面功能提供科学指导。而环境温度的升高和传热系数的降低有利于Tmax和Tave的增加。此外,通过响应面方法建立了上述影响因素与目标之间的预测模型。获得合理目标的预测模型和建议可为应用IHAP实现各种路面功能提供科学指导。而环境温度的升高和传热系数的降低有利于Tmax和Tave的增加。此外,通过响应面方法建立了上述影响因素与目标之间的预测模型。获得合理目标的预测模型和建议可为应用IHAP实现各种路面功能提供科学指导。
更新日期:2020-07-01
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