Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing
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...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/1837952 |
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| _version_ | 1832558542212562944 |
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| author | Jing Chao Zhang Jinxi |
| author_facet | Jing Chao Zhang Jinxi |
| author_sort | Jing Chao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-9186604197cc46248b6be0f0a0afbb90 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-9186604197cc46248b6be0f0a0afbb902025-02-03T01:32:05ZengWileyAdvances in Civil Engineering1687-80861687-80942018-01-01201810.1155/2018/18379521837952Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in BeijingJing Chao0Zhang Jinxi1Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, ChinaBeijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, ChinaAsphalt 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.http://dx.doi.org/10.1155/2018/1837952 |
| spellingShingle | Jing Chao Zhang Jinxi Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing Advances in Civil Engineering |
| title | Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing |
| title_full | Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing |
| title_fullStr | Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing |
| title_full_unstemmed | Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing |
| title_short | Prediction Model for Asphalt Pavement Temperature in High-Temperature Season in Beijing |
| title_sort | prediction model for asphalt pavement temperature in high temperature season in beijing |
| url | http://dx.doi.org/10.1155/2018/1837952 |
| work_keys_str_mv | AT jingchao predictionmodelforasphaltpavementtemperatureinhightemperatureseasoninbeijing AT zhangjinxi predictionmodelforasphaltpavementtemperatureinhightemperatureseasoninbeijing |