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Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-26
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
Asphalt pavement temperatures greatly influence on the bearing capacity and performance, especially in high-temperature season.
The variation rules of pavement temperatures under the high-temperature range affect the design and maintenance management of the asphalt pavement, as well as the accurate prediction for pavement temperatures.
However, asphalt pavement temperature is greatly affected by various strongly correlated environmental factors and cannot be measured directly or predicted effectively.
In this project, temperature sensors were embedded in the pavement of in-service road to collect temperature data by continuous record measurement, and regression model was conducted by the partial least squares method through comprehensive analysis on the pavement temperature data and synchronously environmental data from local weather station measured in July 2013, July 2014, and July 2015.
The quantitative relationships in high-temperature season between environmental factors and pavement temperature were determined, and a model was established to predict the temperature of asphalt pavement based on environmental data.
The model was verified by the recorded data from July 1, 2016, to July 31, 2016, and the results indicated that the pavement temperature can be predicted accurately and reliably by the proposed model.
American Psychological Association (APA)
Chao, Jing& Jinxi, Zhang. 2018. Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1115494
Modern Language Association (MLA)
Chao, Jing& Jinxi, Zhang. Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing. Advances in Civil Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1115494
American Medical Association (AMA)
Chao, Jing& Jinxi, Zhang. Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1115494
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1115494