A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Developing Statistical Models to Predict Temperature Distribution in Asphalt Concrete in Danang City
Asphalt concrete (AC) is a commonly used material in road construction; however, its quality is highly dependent on atmosphere temperature. Temperatures can adversely affect AC performance and its service life. This paper presents an empirical model to predict the heat distribution in AC in Danang. A temperature monitoring station has been set up at the University of Danang—University of Science and Technology to monitor heat distribution in the pavement. The monitored AC layer with a thickness of 13 cm was constructed on a 15 cm cement-treated base. Thermocouple sensors were then installed in AC at different depths of 2, 5, 7, 10, and 12 cm from the pavement surface. The temperature was monitored continuously for five days in September, 2020. Climate data, including air temperature and solar radiation intensity, was collected from the Vietnamese National Centre for Hydro-meteorological Forecasting. Statistical models delivered from the collected data to predict the temperature distribution in AC were developed. They were finally compared with previous studies and suited to predict the temperature distribution in AC in Danang city.
Developing Statistical Models to Predict Temperature Distribution in Asphalt Concrete in Danang City
Asphalt concrete (AC) is a commonly used material in road construction; however, its quality is highly dependent on atmosphere temperature. Temperatures can adversely affect AC performance and its service life. This paper presents an empirical model to predict the heat distribution in AC in Danang. A temperature monitoring station has been set up at the University of Danang—University of Science and Technology to monitor heat distribution in the pavement. The monitored AC layer with a thickness of 13 cm was constructed on a 15 cm cement-treated base. Thermocouple sensors were then installed in AC at different depths of 2, 5, 7, 10, and 12 cm from the pavement surface. The temperature was monitored continuously for five days in September, 2020. Climate data, including air temperature and solar radiation intensity, was collected from the Vietnamese National Centre for Hydro-meteorological Forecasting. Statistical models delivered from the collected data to predict the temperature distribution in AC were developed. They were finally compared with previous studies and suited to predict the temperature distribution in AC in Danang city.
Developing Statistical Models to Predict Temperature Distribution in Asphalt Concrete in Danang City
Lecture Notes in Civil Engineering
Ha-Minh, Cuong (editor) / Tang, Anh Minh (editor) / Bui, Tinh Quoc (editor) / Vu, Xuan Hong (editor) / Huynh, Dat Vu Khoa (editor) / Tran, Thao T. T. (author) / Nguyen, Hai H. (author) / Nguyen, Phuc Q. (author) / Nguyen, Teron (author) / Pham, Phuong N. (author)
CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure ; Chapter: 57 ; 567-574
2021-10-28
8 pages
Article/Chapter (Book)
Electronic Resource
English
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