Asphalt binder selection for future Canadian climatic conditions using various pavement temperature prediction models

被引:5
|
作者
Swarna, Surya T. [1 ]
Hossain, Kamal [2 ,3 ]
机构
[1] Mem Univ Newfoundland, Dept Civil Engn, St John, NF, Canada
[2] Carleton Univ, Dept Civil & Environm Engn, Ottawa, ON, Canada
[3] Mem Univ Newfoundland, Dept Civil Engn, Adv Rd & Transportat Engn Lab ARTEL, St John, NF, Canada
关键词
Climate change; asphalt binder; pavement temperature; performance grade; Enhanced Integrated Climate Model; PROJECTIONS; PERFORMANCE; TRENDS;
D O I
10.1080/14680629.2021.2019093
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Over the past 20 years, climate scientists have predicted that anthropogenic climate change would lead to an increase in global temperatures. In addition, the trends were predicted to further aggravate in the near future. Recent studies stated that this climate change has had a significant impact on pavement performance. As asphalt binder is susceptible to changes in temperature, it is necessary to understand the influence of climate change on asphalt binder grade selections. Therefore, the aim of this study is to estimate the new asphalt binder grades for Canada using the projected climate data. To achieve this, average seven-day maximum pavement temperature and a minimum pavement temperature were determined using the three different pavement temperature prediction models: SHRP, LTPP and EICM to estimate the asphalt binder (PG XX - YY). This paper presents a summary of revised asphalt binder grades for 28 different locations across Canada.
引用
收藏
页码:447 / 461
页数:15
相关论文
共 44 条
  • [41] Temperature field prediction for various porous media considering variable boundary conditions using deep learning method
    Wang, Mou
    Wang, Hui
    Yin, Ying
    Rahardja, Susanto
    Qu, Zhiguo
    INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER, 2022, 132
  • [42] By-Plant Prediction of Dry Matter Yields at Various Growth Stages of Maize Plants (Zea mays L.) Using Leaf Greenness Indicator in Climatic Conditions of Poland
    Zielewicz, Waldemar
    Wrobel, Barbara
    Szulc, Piotr
    Bujak, Henryk
    Stachowiak, Barbara
    APPLIED SCIENCES-BASEL, 2021, 11 (20):
  • [43] Selection of models to describe the temperature-dependent development of Neoleucinodes elegantalis (Lepidoptera: Crambidae) and its application to predict the species voltinism under future climate conditions
    dos Santos, Hevellyn Talissa
    Marchioro, Cesar Augusto
    BULLETIN OF ENTOMOLOGICAL RESEARCH, 2021, 111 (04) : 476 - 484
  • [44] Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection
    Jamei, Mehdi
    Karbasi, Masoud A.
    Alawi, Omer
    Kama, Haslinda Mohamed
    Khedher, Khaled Mohamed
    Abba, S. I.
    Yaseen, Zaher Mundher
    SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS, 2022, 35