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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.6, Issue:23)
Article Information:

Comparative Study on Pavement Temperature Features of Bridge Deck and Road Pavement

Yueqin Hou, Nanxiang Zheng and Yiluo Zhang
Corresponding Author:  Yueqin Hou 
Submitted: January 24, 2013
Accepted: February 25, 2013
Published: December 15, 2013
Abstract:
The objective of this study was to comparatively analyze the difference of pavement temperature of bride deck and road pavement. The asphalt pavement temperature of road pavement and bride deck were tested in Guozigou area of Xinjiang, China. And the air temperature, wind speed, humidness and sunlight radiation were collected. Further, the distribution features of asphalt pavement of bridge deck and road pavement were comparatively analyzed. At last, the predictive model of pavement temperature field for bridge deck and road pavement was set up. The results show that the pavement temperature and air temperature change synchronously. The pavement temperature of bridge deck is usually 66~13ÂșC higher than the air temperature and keeps close to it in winter. Compared with road pavement temperature, the temperature of bridge deck is characterized by being higher lowest-temperatures in winter, greater in temperature changes and lasting for longer time when it keeps its high temperature in summer. The predictive model of pavement temperature field for bridge deck and road pavement is proposed utilized linear function with five factors, namely air temperature, wind speed, humidness, sunlight radiation and pavement depth. The developed model was proved to be more accurate and closer to the measured temperature compared with LTPP and SHRP model.

Key words:  Bridge deck, distribution feature, pavement temperature field, predictive model, , ,
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Cite this Reference:
Yueqin Hou, Nanxiang Zheng and Yiluo Zhang, . Comparative Study on Pavement Temperature Features of Bridge Deck and Road Pavement. Research Journal of Applied Sciences, Engineering and Technology, (23): 4375-4380.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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