Open AccessPrediction of Temperature Cooling Trend of Asphalt Mixtures
Author(s) -
L. Chu,
Baihe Zhu,
T F Fwa
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1075/1/012030
Subject(s) - asphalt , compaction , asphalt pavement , durability , lift (data mining) , environmental science , mixing (physics) , materials science , geotechnical engineering , engineering , composite material , computer science , physics , quantum mechanics , data mining
Monitoring of the temperature changes of asphalt mixtures during the mix production and pavement construction phases is important to avoid over-heating, and to ensure that optimum mixing and compaction is achieved. Over-heating or prolonged heating of asphalt mixtures would cause ageing, while inadequate mixing or compaction would result in mixtures with a strength and durability less than design optimal. Careful temperature monitoring would help to avoid such undesirable problems. This study develops a finite-element asphalt mixture cooling temperature prediction software as an asphalt pavement mix design planning tool. For any given asphalt paving design mix, it is able to predict the temperature cooling characteristics of the design mix during the laying and compaction phase. The software can provide the temperature cooling characteristics during a multi-lift paving of asphalt pavement layer. The factors affecting the temperature cooling trend are determined and analysed. They include ambient temperature, laying temperature, solar influx intensity, wind velocity, number of lifts, and lift thickness. A sensitivity analysis is conducted to identify the most influencing factors under different paving conditions.