Abstract

Statistical analysis of hot-mix asphalt (HMA) data for quality assurance programs used by the Illinois DOT was conducted. The aim was to quantify the total amount of incentives and disincentives, and distribution of the measured values, variability of HMA test results and identify significant variations between contractor and agency results. Quality control and quality assurance data for construction projects were collected for the 2015–2017 construction seasons and were statistically analyzed using the Mann-Whitney and Levene’s tests. The results indicated that during 2015 and 2016, approximately 44% to 55% of the produced HMA tonnage received disincentives, averaging $20,000 per project, based on 710 projects analyzed. More than 80% of the construction projects showed no significant difference between the quality assurance results reported by the district and contractor quality control results. HMA density was the most frequent pay parameter–caused contractor disincentive, and air void content was the second. The bulk specific gravity test results, which contribute to air void and voids in mineral aggregates, were found to be the most variable and, hence, the main cause of differences between IDOT and contractor laboratory data.

Get full access to this article

View all available purchase options and get full access to this article.

Data Availability Statement

Some or all data, models, or code generated or used during the study are proprietary or confidential in nature and may only be provided with restrictions. Restricted data include QC and QA data, which include volumetrics, gradation, and binder content; pay factors for AV, VMA, and density; and hypothesis test results from statistical analyses. For more information on how the data can be requested, contact the corresponding author at [email protected].

Acknowledgments

This publication is based on the results from Illinois Center for Transportation Project R27-189: Evaluation of Data Trends and Variability in the Quality Control for Performance (QCP) and Pay for Performance (PFP) Programs. The research was conducted in cooperation with the Illinois Center for Transportation, the IDOT, and the US DOT, FHWA. The authors appreciate the feedback, comments, and suggestions provided by the technical review panel members throughout the study; the committee was chaired by Jim Trepanier. The authors acknowledge the feedback and comments from Adam Hand, John Huang, David Lippert, Hadi Meidani, and the Illinois Asphalt Pavement Association. The contents of this paper reflect the view of the authors, who are responsible for the facts and accuracy of the data presented herein. The contents do not necessarily reflect the official views or policies of the Illinois Center for Transportation, the IDOT, or the FHWA.

References

Benson, P. E. 1999. “Performance review of a quality control/quality assurance specification for asphalt concrete.” Transp. Res. Rec. 1654 (1): 88–94. https://doi.org/10.3141/1654-10.
Buttlar, W., and M. Harrell. 1998. “Development of end-result and performance-related specifications for asphalt pavement construction in Illinois.” In Proc., Crossroads 2000, 195–202. Washington, DC: National Academies of Sciences, Engineering, and Medicine.
Buttlar, W., and A. Manik. 2007. Evaluation of risk in end-result specifications for asphalt pavement construction. Champaign, IL: Illinois Center for Transportation, Univ. of Illinois at Urbana-Champaign.
Crouch, L. K., A. R. Copeland, C. Todd Walker, R. A. Maxwell, G. M. Duncan, W. A. Goodwin, D. A. Badoe, and H. Wayne Leimer. 2002. “Determining air void content of compacted hot-mix asphalt mixtures.” Transp. Res. Rec. 1813 (1): 39–46. https://doi.org/10.3141/1813-05.
FHWA (Federal Highway Administration). 2010. Superpave gyratory compactors tech brief. Washington, DC: FHWA, Office of Pavement Technology.
FHWA (Federal Highway Administration). 2013. “Quality assurance stewardship review summary report for fiscal years 2009 through 2012.” Accessed October 15, 2019. https://www.fhwa.dot.gov/pavement/materials/stewardship2013.pdf.
FHWA (Federal Highway Administration). 2015. Quality assurance assessment report—2014. Washington, DC: FHWA, Office of Pavement Technology.
FMCSA (Federal Motor Carrier Safety Administration). 2019. “MAP-21—Moving ahead for progress in the 21st century act.” Accessed October 1, 2019. https://www.fmcsa.dot.gov/mission/policy/map-21-movingahead-progress-21st-century-act.
Fugro Consultants and Arizona State University. 2011. A performance-related specification for hot-mixed asphalt. Washington, DC: National Academies Press.
Hall, K. D., and S. G. Williams. 2002. “Establishing variability for hot-mix asphalt construction in Arkansas.” Transp. Res. Rec. 1813 (1): 172–180. https://doi.org/10.3141/1813-21.
Hand, A. J., and A. L. Epps. 2000. “Effects of test variability on mixture volumetrics and mix design verification.” J. Assoc. Asphalt Paving Technol. 69: 635–674.
IDOT (Illinois DOT). 2010. Internal memorandum: Needed improvements to quality assurance procedures. Springfield, IL: IDOT.
IDOT (Illinois DOT). 2018a. Manual of test procedures for materials. Springfield, IL: IDOT.
IDOT (Illinois DOT). 2018b. Special provision for pay for hot mix asphalt-quality control for performance. Springfield, IL: IDOT.
IDOT (Illinois DOT). 2018c. Special provision for pay for performance using percent within limits-jobsite sampling. Springfield, IL: IDOT.
LaVassar, C. J., J. P. Mahoney, K. A. Willoughby, and K. Willoughby. 2009. Statistical assessment of quality assurance-quality control data for hot mix asphalt. Seattle: Washington State DOT.
Levene, H. R. 1960. “Tests for equality of variances.” In Contributions to probability and statistics: Essays in honor of Harold Hotelling, edited by I. Olkin, 278–92. Stanford, CA: Stanford Univ.
Mahboub, K. C., P. M. Goodrum, A. Glasglow, J. Enlow, N. Hendrix, and M. Uddin. 2008. QC/QA: Evaluation of effectiveness in Kentucky. Lexington, KY: Kentucky Transportation Center.
Mahoney, J., and J. E. Stephens. 2003. Connecticut Superpave Gyratory Round Robin–2003. Rocky Hill, CT: Connecticut Transportation Institute.
Mann, H. B., and D. R. Whitney. 1947. “On a test of whether one of two random variables is stochastically larger than the other.” Ann. Math. Stat. 18 (1): 50–60. https://doi.org/10.1214/aoms/1177730491.
McLaury, K., G. Max, M. Praul, T. Brim-Burnell, B. Neitzke, K. Jacoby, and P. Kulyk. 2007. Quality assurance in materials and construction. Washington, DC: FHWA, USDOT.
Mohammad, L. N., M. A. Elseifi, S. B. Cooper III, C. S. Hughes, J. W. Button, and E. L. Dukatz Jr. 2016. Comparing the volumetric and mechanical properties of laboratory and field specimens of asphalt concrete. Washington, DC: National Academies Press.
Parker, F., Jr., and M. Shabbir Hossain. 2002. “Statistics for superpave hot-mix asphalt construction quality control/quality assurance data.” Transp. Res. Rec. 1813 (1): 151–156. https://doi.org/10.3141/1813-18.
Patel, A., M. Thompson, E. Harm, and W. Sheftick. 1997. “Developing QC/QA specifications for hot mix asphalt concrete in Illinois.” Transp. Res. Rec. 1575 (1): 66–74. https://doi.org/10.3141/1575-10.
Pellinen, T., and T. Kuczek. 2007. “Methodology of assessing testing variation for volumetric quantities in hot mix asphalt production.” J. Test. Eval. 35 (3): 281–288.
Shane Buchanan, M., and E. Ray Brown. 2001. “Effect of superpave gyratory compactor type on compacted hot-mix asphalt density.” Transp. Res. Rec. 1761 (1): 50–60. https://doi.org/10.3141/1761-07.
TRB (Transportation Research Board). 2018. Glossary of transportation construction quality assurance terms. Seventh edition. Washington, DC: TRB.
Turochy, R. E., J. R. Willis, and F. Parker. 2006. “Quality assurance of hot-mix asphalt: Comparison of contractor quality control and Georgia Department of Transportation data.” Transp. Res. Rec. 1946 (1): 47–54. https://doi.org/10.1177/0361198106194600106.

Information & Authors

Information

Published In

Go to Journal of Transportation Engineering, Part B: Pavements
Journal of Transportation Engineering, Part B: Pavements
Volume 148Issue 2June 2022

History

Received: Feb 12, 2021
Accepted: Jan 4, 2022
Published online: Mar 10, 2022
Published in print: Jun 1, 2022
Discussion open until: Aug 10, 2022

Permissions

Request permissions for this article.

Authors

Affiliations

Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 North Mathews, Urbana, IL 61801 (corresponding author). ORCID: https://orcid.org/0000-0001-6180-9602. Email: [email protected]
Seunggu Kang, Ph.D., A.M.ASCE [email protected]
Assistant Professor, Dept. of Civil Engineering, Merrimack College, 315 Turnpike St., North Andover, MA 01845. Email: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 North Mathews, Urbana, IL 61801. ORCID: https://orcid.org/0000-0001-7775-9697. Email: [email protected]
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Illinois at Urbana-Champaign, 205 North Mathews, Urbana, IL 61801. ORCID: https://orcid.org/0000-0002-8302-474X. Email: [email protected]
Imad L. Al-Qadi, Ph.D., Dist.M.ASCE https://orcid.org/0000-0002-5824-103X [email protected]
Bliss Professor of Engineering, Illinois Center for Transportation, Univ. of Illinois at Urbana-Champaign, 205 North Mathews, Urbana, IL 61801. ORCID: https://orcid.org/0000-0002-5824-103X. Email: [email protected]
Hasan Ozer, Ph.D., M.ASCE [email protected]
Associate Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Design Annex, 660 S College Ave., Tempe, AZ 85281. Email: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

  • Accelerating the Circular Economy Transition: A Construction Value Chain-Structured Portfolio of Strategies and Implementation Insights, Journal of Construction Engineering and Management, 10.1061/JCEMD4.COENG-14550, 150, 8, (2024).
  • Asphalt Concrete Mix Design Optimization Using Autoencoder Deep Neural Networks, Transportation Research Record: Journal of the Transportation Research Board, 10.1177/03611981231171153, 2678, 1, (426-438), (2023).
  • Prediction of asphalt concrete flexibility index and rut depth utilising deep learning and Monte Carlo Dropout simulation, International Journal of Pavement Engineering, 10.1080/10298436.2023.2253964, 24, 1, (2023).
  • Field factors impacting incentives of quality control for performance (QCP) and pay for performance (PFP) specifications for hot-mix asphalt in Illinois, Road Materials and Pavement Design, 10.1080/14680629.2022.2075787, 24, 6, (1425-1439), (2022).

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share