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基于红外热成像技术的沥青混合料路用性能研究

Research on the Road Performance of Asphalt Mixtures Based on Infrared Thermography.

作者信息

Chen Wei, Wei Kesen, Wei Jincheng, Han Wenyang, Zhang Xiaomeng, Hu Guiling, Wei Shuaishuai, Niu Lei, Chen Kai, Fu Zhi, Xu Xizhong, Xu Baogui, Cui Ting

机构信息

School of Transportation Engineering, Shandong Jianzhu University, Jinan 250101, China.

Zibo Transportation Management Center, Shandong Hi-Speed Company Limited, Zibo 255000, China.

出版信息

Materials (Basel). 2022 Jun 17;15(12):4309. doi: 10.3390/ma15124309.

Abstract

Temperature segregation during the paving of asphalt pavements is one of the causes of asphalt pavement distress. Therefore, controlling the paving temperature is crucial in the construction of asphalt pavements. To quickly evaluate the road performance of asphalt mixtures during paving, in this work, we used unmanned aerial vehicle infrared thermal imaging technology to monitor the construction work. By analyzing the temperature distribution at the paving site, and conducting laboratory tests, the relationship between the melt temperature, high-temperature stability, and water stability of the asphalt mix was assessed. The results showed that the optimal temperature measurement height for an unmanned aerial vehicle (UAV) with an infrared thermal imager was 7-8 m. By coring the representative temperature points on the construction site and then conducting a Hamburg wheel tracking (HWT) test, the test results were verified through the laboratory test results in order to establish a prediction model for the melt temperature and high-temperature stability of y = 10.73e + 1415.78, where the predictive model for the melt temperature and water was y = -19.18e + 98.03. The results showed that using laboratory tests combined with UAV infrared thermography could quickly and accurately predict the road performance of asphalt mixtures during paving. We hope that more extensive evaluations of the roadworthiness of asphalt mixtures using paving temperatures will provide reference recommendations in the future.

摘要

沥青路面摊铺过程中的温度离析是导致沥青路面病害的原因之一。因此,控制摊铺温度在沥青路面施工中至关重要。为了在摊铺过程中快速评估沥青混合料的路用性能,在本研究中,我们使用无人机红外热成像技术对施工过程进行监测。通过分析摊铺现场的温度分布,并进行室内试验,评估了沥青混合料的熔化温度、高温稳定性和水稳定性之间的关系。结果表明,配备红外热成像仪的无人机的最佳测温高度为7 - 8米。通过在施工现场取具有代表性温度点的芯样,然后进行汉堡轮辙试验,将试验结果与室内试验结果进行验证,以建立熔化温度和高温稳定性的预测模型y = 10.73e + 1415.78,其中熔化温度和水稳定性的预测模型为y = -19.18e + 98.03。结果表明,结合室内试验和无人机红外热成像技术能够快速、准确地预测摊铺过程中沥青混合料的路用性能。我们希望未来利用摊铺温度对沥青混合料的适路性进行更广泛的评估,能提供参考建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b47d/9227256/32e6def439aa/materials-15-04309-g001.jpg

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