TECHNICAL PAPERS
Sep 1, 2007

Resilient Modulus Prediction Models Based on Analysis of LTPP Data for Subgrade Soils and Experimental Verification

Publication: Journal of Transportation Engineering
Volume 133, Issue 9

Abstract

Resilient modulus (MR) value of a subgrade soil is the primary property needed for pavement design and analysis. It is the elastic modulus based on the recoverable strain under repeated loads, and depends on several factors including soil properties, soil type, and state of stresses. This paper presents prediction equations developed using regression analysis for six AASHTO soil types (A-1-b, A-3, A-2-4, A-4, A-6, and A-7-6) for estimating MR . Data extracted from the Long-Term Pavement Performance Information Management System (LTPP IMS) database for 258 test specimens (approximately 3,870 MR values) collected in 19 states in New England and the nearby regions in the United States and two provinces in Canada were used in this study. A generalized constitutive model that captures the effect of both bulk stress and octahedral shear stress was used to predict the MR of subgrade soils by developing regression equations that relate the k coefficients to the soil physical properties. The prediction models developed were verified for four types of soils collected in the New England region by independent laboratory MR tests. It was observed that MR values from the prediction models compared well with the laboratory values for the majority of the soil types.

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Acknowledgments

The research work reported herein was performed under the Project NETC 02-3 sponsored by the New England Transportation Consortium. The financial support from the Consortium is gratefully acknowledged. The writers are thankful to Connecticut Department of Transportation and Vermont Agency of Transportation for their help in the collection of soil samples for laboratory tests and to Long Term Pavement Performance (LTPP) Technical Support Services Contractor, Oak Ridge, Tennessee for providing the LTPP information management system (IMS) data CDs. Sincere thanks are also due to Braun Intertec Corporation, MN for conducting the laboratory tests. This paper was prepared in cooperation with the New England Transportation Consortium, does not constitute a standard, specification, or regulation. The contents of this paper reflect the views of the writers, who are responsible for the facts and the accuracy of the data presented herein. The contents do not necessarily reflect the views of the New England Transportation Consortium or the Federal Highway Administration.

References

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Published In

Go to Journal of Transportation Engineering
Journal of Transportation Engineering
Volume 133Issue 9September 2007
Pages: 491 - 504

History

Received: Nov 9, 2005
Accepted: Sep 18, 2006
Published online: Sep 1, 2007
Published in print: Sep 2007

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Authors

Affiliations

Ramesh B. Malla, M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, 261 Glenbrook Rd., Unit-2037, Storrs, CT 06269 (corresponding author). E-mail: [email protected]
Shraddha Joshi, S.M.ASCE
Structural Engineer, GM2 Associates, Inc., 730 Hebron Ave., Glastonbury, CT 06033; formerly, Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Univ. of Connecticut, 261 Glenbrook Rd., Unit-2037, Storrs, CT 06269.

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