Comprehensive Evaluation of Compaction of Asphalt Pavements and a Practical Approach for Density Predictions
Abstract
The compaction of asphalt mixtures has a significant influence on their performance. Insufficient compaction leads to several distresses, such as premature permanent deformation, excessive aging, and moisture damage, even if all desirable mixture design characteristics are met. Currently, no acceptable method relates asphalt pavement density to the compaction pattern. The compaction pattern required to achieve the desired density is established on the basis of experience and trial and error, a process that is time-consuming and expensive. This study involved comprehensive experimental evaluation of several test sections that were constructed with different asphalt mixtures by various compaction methods. Results of these experiments were used to determine the effects of compaction temperature, compaction method, mixture design, and base type on the compactability of asphalt mixtures. In addition, the paper presents a systematic method to determine the compaction pattern required to achieve the desired density of asphalt pavements. This method lends itself to integration in an automated system that can be used by roller operators to estimate density during construction.
Get full access to this article
View all access and purchase options for this article.
References
1. Hot-Mix Asphalt Paving Handbook 2000. U.S. Army Corps of Engineers, Washington, D.C., 2000.
2. Roberts F. L., Kandhal P. S., Brown E. R., Lee D., and Kennedy T. W. Hot Mix Asphalt Materials, Mixture Design and Construction. National Asphalt Pavement Association, Research and Education Foundation, Lanham, Md., 1996.
3. Tashman L., Masad E., Peterson B., and Saleh H. Internal Structure Analysis of Asphalt Mixes to Improve the Simulation of Superpave Gyratory Compaction to Field Conditions. Journal of the Association of Asphalt Paving Technologists, Vol. 70, 2001, pp. 605–645.
4. Peterson B., Mahboub K., Anderson M., Masad E., and Tashman L. Comparing Superpave Gyratory Compactor Data to Field Cores. Journal of Materials in Civil Engineering, Vol. 16, No. 1, 2004, pp. 78–83.
5. Leiva F., and West R. C. Relationship between Laboratory Measured Characteristics of HMA and Field Compactability. Journal of the Association of Asphalt Paving Technologists, Vol. 77, 2008, pp. 183–219.
6. Muras A. Prediction of Asphalt Compactability from Mixture and Aggregate Properties. MS thesis. Texas A&M University, College Station, 2010.
7. Kassem E., Masad E., Chowdhury A., and Claros G. Influence of Field Compaction Pattern on Asphalt Pavement Uniformity. Journal of the Association of Asphalt Paving Technologists, Vol. 77, 2008, pp. 257–298.
8. Maupin G. W. Preliminary Field Investigation of Intelligent Compaction of Hot-Mix Asphalt. Report No. VTRC 08-R7. Virginia Transportation Research Council, Charlottesville, Va., 2007.
9. Intelligent Compaction: A Smart Innovation. Webinar organized by Asphalt Institute, Lexington, Ky., 2010.
10. Commuri S., Mai A. T., and Zaman M. Neural Network-based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes. ASCE Journal of Construction Engineering and Management, 2011.
11. Standard Specifications for Construction and Maintenance of Highways, Streets, and Bridges. Texas Department of Transportation, Austin, 2004.
12. The MathWorks Inc., Matlab Software, Version 7. Natick, Mass., 2004.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published online: January 1, 2012
Issue published: January 2012
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 105
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 22
- Evaluation of Compaction Characteristics of Asphalt Mixture under Diff...
- Prediction of air voids of asphalt layers by intelligent algorithm
- A framework for real-time compaction guidance system based on compacti...
- Development of asphalt mixture density estimation model applicable to ...
- Uncertainty analysis of in-situ pavement compaction considering micros...
- Prediction of the number of roller passes and degree of compaction of ...
- Effect of Aggregate Gradation on Asphalt Mixture Compaction Parameters
- Micro-Structure of Hot Mix Asphalt Containing the 35/50 Bitumen Viewed...
- Impact of the coarse aggregate shape parameters on compaction characte...
- Impact of vibration compaction on the paving density and transverse un...
- Comprehensive real-time pavement operation support system using machin...
- Intelligent compaction practice and development: a bibliometric analys...
- Compactability and Mechanical Properties of LNA-Modified Asphalt Concr...
- Dynamic characteristics modelling of the tamper–asphalt mixture intera...
- The Influence of Water on the Heat Loss of Hot Mix Asphalt
- Nonlinear dynamics of asphalt–screed interaction during compaction: Ap...
- Evaluation of the Anisotropy of Asphalt Mixtures
- Effects of extended short-term aging duration on asphalt binder behavi...
- Application of ground-penetrating radar in measuring the density of as...
- Finite element modelling of field compaction of hot mix asphalt. Part ...
- Development of compaction monitoring system for asphalt pavements
- The heat exchange in the edge area – the problem of hot mix asphalt co...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
