Estimation of Resilient Modulus of Unbound Aggregates Using Performance-Related Base Course Properties
Publication: Journal of Materials in Civil Engineering
Volume 27, Issue 6
Abstract
This study aims at developing an accurate and efficient methodology to estimate the resilient modulus of unbound aggregates. First, a new resilient modulus model is proposed to incorporate the moisture dependence of the resilient modulus in addition to the stress dependence in existing models. Second, prediction models are developed to conveniently and accurately determine the coefficients in the proposed model. In order to characterize the moisture dependence of unbound aggregates, the degree of saturation and the matric suction parameter are added into the proposed model. The soil-water characteristic curve (SWCC) is used to determine the matric suction value at any given moisture content. The moisture dependence of the model is validated for selected materials with different moisture contents. In order to develop prediction models for the coefficients in the proposed model, laboratory experiments and multiple regression analysis are conducted on 20 different base course materials. The laboratory experiments include the improved repeated load triaxial test and tests to measure performance-related base course properties. A new test protocol is developed for the improved repeated load triaxial test, which is better adapted to the stress state of the base course under the actual traffic load than the current test protocols. A series of repeatable and performance-related base course properties are measured and used to develop the prediction models based on multiple regression analysis. These newly proposed properties include methylene blue value (MBV), percent fines content (pfc), gradation of particle sizes, and shape, angularity, and texture of aggregates. The developed prediction models have higher -squared values than those using other base course properties.
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Acknowledgments
The Texas Department of Transportation (TxDOT) provided financial support for this study through TxDOT Project 0-6621 under the direction of Jon Epps. The authors gratefully acknowledge the help and support of Stephen Sebesta, Bailey Hewes, and Sang Ick Lee from Texas A&M Transportation Institute during the study.
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Published In
Journal of Materials in Civil Engineering
Volume 27 • Issue 6 • June 2015
Copyright
© 2014 American Society of Civil Engineers.
History
Received: Jan 21, 2014
Accepted: Jun 16, 2014
Published online: Aug 14, 2014
Discussion open until: Jan 14, 2015
Published in print: Jun 1, 2015
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