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 Developing Statistical Models to Predict Temperature Distribution in Asphalt Concrete in Danang City
Tác giả hoặc Nhóm tác giả: Thao TT Tran, Hai H Nguyen, Phuc Q Nguyen, Teron Nguyen, Phuong N Pham, Viet T Tran
Nơi đăng: CIGOS 2021, Emerging Technologies and Applications for Green Infrastructure. Lecture Notes in Civil Engineering, vol 203. Springer, Singapore; Số: 203;Từ->đến trang: 567-574;Năm: 2022
Lĩnh vực: Khoa học công nghệ; Loại: Báo cáo; Thể loại: Quốc tế
TÓM TẮT
ABSTRACT
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.
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