TECHNICAL NOTES
Oct 1, 2005

Spatial and Temporal Variations in Axle Load Spectra and Impacts on Pavement Design

Publication: Journal of Transportation Engineering
Volume 131, Issue 10

Abstract

The distribution of axle loads can vary geographically and seasonally; ignoring these variations may impact the accurate characterization of traffic and ultimately the design thickness of new and rehabilitated pavements. A study of axle load spectra at thirteen sites on rural arterials in Alabama examined the statistical and practical significance of these spatial and temporal differences. In most cases, daily and monthly axle load spectra exhibited statistically significant differences from the composite distributions. Differences between distributions observed at each direction at a site and the site average were statistically significant, as were differences between the distribution at each site and the statewide average. However, in most cases, the resultant impact on pavement thickness design was negligible. At 92% of the study sites, use of the statewide distribution in lieu of site-specific data resulted in no more than a difference of 0.3 for structural number for flexible pavement and a 0.7 inch (1.8 cm) difference in rigid pavement depth; these differences were considered insignificant from a practical perspective.

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Acknowledgments

The writers wish to thank the Alabama Department of Transportation, the Auburn University Highway Research Center, and the Federal Highway Administration for their support of this research.

References

American Association of State Highway and Transportation Officials (AASHTO). (1993). Guide for design of pavement structures, AASHTO, Washington, D.C.
Huang, W., Sung, Y., and Lin, J. (2002). “Development of axle load distribution for heavy vehicles.” 81st Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, D.C.
Kim, J. R., Titus-Glover, L., Darter, M. I., and Kumapley, R. K. (1998). “Axle load distribution characterization for mechanistic pavement design.” Transportation Research Record 1629, Transportation Research Board, Washington, D.C., 13–17.
Qu, T., Lee, C. E., and Huang, L. (1997). “Traffic-load forecasting using weigh-in-motion data.” Center for Transportation Research, Univ. of Texas at Austin, Austin, Tex.
Siegel, S. (1956). Nonparametric statistics for the behavioral sciences. McGraw-Hill, New York.
Wu, S.-S. (1996). “Procedure to estimate loading from weigh-in-motion data.” Transportation Research Record 1536, Transportation Research Board, Washington, D.C., 19–24.

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Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 131Issue 10October 2005
Pages: 802 - 808

History

Received: May 4, 2004
Accepted: Feb 10, 2005
Published online: Oct 1, 2005
Published in print: Oct 2005

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Authors

Affiliations

Rod E. Turochy, M.ASCE
Assistant Professor, Dept. of Civil Engineering, Harbert Engineering Center, Auburn Univ., Auburn, AL 36849. E-mail: [email protected]
S. Michelle Baker
Civil Engineer, PBS&J, Inc., 1141 Jackson Ave., Chipley, FL 32428. E-mail: [email protected]
David H. Timm, M.ASCE
Assistant Professor, Dept. of Civil Engineering, Harbert Engineering Center, Auburn Univ., Auburn, AL 36849. E-mail: [email protected]

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