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TECHNICAL PAPERS
Jun 1, 2006

Modeling of Pavement Response Using Nonlinear Cross-Anisotropy Approach

Publication: Journal of Transportation Engineering
Volume 132, Issue 6

Abstract

The multidepth deflectometer (MDD) is used to estimate flexible pavement response subjected to permitted overweight truck traffic (gross vehicle weight up to 556 kN). This study focuses on using material constitutive models to assess the most accurate and reliable pavement layer behavior. Deflections from MDDs installed on tested pavement section were compared with predicted ones using different material constitutive models to determine the best model. As a result, the best comparisons with the measured MDD deflections were achieved when base and subgrade materials were modeled as nonlinear cross anisotropic. In terms of pavement performance prediction, predicted rutting using a nonlinear cross-anisotropy model was matched reasonably well with measured values by generating a slightly higher compressive vertical strain from each subdivided layer. In addition, the cross-anisotropy characteristic of asphalt concrete material was introduced and applied to predict pavement performance. This results in larger rutting due to vertical strain within the asphaltic concrete layer. Thus, there is a need to take into account nonlinear cross-anisotropy characteristic of pavement materials in assessing pavement damage due to truck loadings.

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Acknowledgments

The writers would like to acknowledge the Texas Department of Transportation (TxDOT) for their support and cooporation. Also, gratitude goes to the Brownsville Port Office for providing traffic data.

References

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Information & Authors

Information

Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 132Issue 6June 2006
Pages: 458 - 468

History

Received: May 5, 2004
Accepted: Dec 7, 2004
Published online: Jun 1, 2006
Published in print: Jun 2006

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Authors

Affiliations

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

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