Rational Performance Indicators to Evaluate Asphalt Materials’ Aging Characteristics.

Autor: Kumbargeri, Yogesh Shamsunder, Biligiri, Krishna Prapoorna
Předmět:
Zdroj: Journal of Materials in Civil Engineering; Dec2016, Vol. 28 Issue 12, p1-9, 9p, 2 Charts, 5 Graphs
Abstrakt: There is very limited literature regarding asphalt mixture aging evaluation using asphaltene as a parametric assessor. However, a few studies have recommended that aging characteristics of asphalt mixtures be evaluated by utilizing the potentiality of asphaltene as a rational aging indicator and formulate a methodology to assess long-term flexible pavement performance. The main objective of this research was to investigate the aging behavior of asphalt binders and mixtures, and develop aging indices and parametric models with asphaltene as a rational performance indicator based on fundamental asphalt material characteristics. Asphaltene content increased from short- to long-term aged condition with rubber- and polymer-modified binders depicting higher magnitudes than the virgin binders. During aging, because of absorption of oils, asphaltene contents do not increment superfluously, furthering modified binder particularly rubber modified bitumen to age at a slower rate. The effect of asphalt mixtures’ aging using E parameter as the performance indicator helped develop mixture aging indices (AMI) at different temperatures and frequencies. To further understand the applications of AMI on aging phenomenon of asphalt mixtures, AMI parametric predictive model was developed encompassing asphaltene aging indices and mixture properties, which was mathematically fair and robust. AMI was capable of explaining the influence of binder and mixture properties along with asphaltene as a performance indicator. Although a limited number of mixtures was utilized in this research, a rational algorithm/methodology was devised and proposed to relate physical, rheological, and chemical parameters of asphalt binders with that of the parametric performance of asphalt mixtures. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index