TECHNICAL PAPERS
May 1, 2007

Evaluation of Damage Potential for Pavements due to Overweight Truck Traffic

Publication: Journal of Transportation Engineering
Volume 133, Issue 5

Abstract

Higher allowable axle loads of multiaxle trucks produce severe pavement damage, which leads to raising the budget to rehabilitate deteriorated sections. To minimize expected damage, it is necessary to design pavement to support overweight truck traffic by evaluating damage potential based on accurate modeling of pavement response. In this study, an attempt was made to model base and subgrade layers as a stress-dependent cross-anisotropic material to assess pavement response using finite-element (FE) analysis. The prediction of vertical and radial stress of FE analysis matched reasonably well with the analytical solution and predictions from the commercial program CIRCLY. Using this modeling, equations correlating between critical strains and layer displacements, axle loading, offset distance, and layer moduli were established in order to evaluate accelerated damage potential due to overweight truck loadings. For each truck pair, the ratio of the service life consumed from one pass of the overweight truck to the corresponding service life consumed due to the passage of a legal truck was determined. As a result, all ratios were greater than 1, indicating greater potential for accelerated pavement deterioration on routes due to overweight truck use.

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Acknowledgments

The writers would like to acknowledge the Texas Department of Transportation for their support and cooperation. Also, gratitude goes to the Brownsville Port office for providing traffic data.

References

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Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 133Issue 5May 2007
Pages: 308 - 317

History

Received: Feb 27, 2006
Accepted: Nov 27, 2006
Published online: May 1, 2007
Published in print: May 2007

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Authors

Affiliations

Jeongho Oh, A.M.ASCE
Associate Transportation Researcher, Texas Transportation Institute, Texas A&M Univ., 601G CE/TTI Building, College Station, TX 77843-3136. E-mail: [email protected]
E. G. Fernando
Research Engineer, Texas Transportation Institute, Texas A&M Univ., 508E CE/TTI Building, College Station, TX 77843-3136. E-mail: [email protected]
R. L. Lytton, F.ASCE
Professor, Dept. of Civil Engineering, Texas A&M Univ., 503A CE/TTI Building, College Station, TX 77843-3136. E-mail: [email protected]

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