Estimating Subgrade Resilient Modulus for Pavement Design

Many variables are evaluated during the design of flexible pavements. Three basic components of flexible pavement design are the asphalt, base and the subgrade soil. The latter component is of most importance to this project. The variable that expresses how suitable the subgrade is for pavement design is resilient modulus. Because of the extensive amount of time required for resilient modulus testing and the high costs associated with testing equipment, an effort will be made to develop a mathematical model for Arkansas soils that will reliably estimate resilient modulus based upon its index properties. An effort was made to develop this same relationship in TRC-94 (Elliott et al., 1988). A relationship was developed, however; it was felt that there was still a need to validate and/or improve this relationship. What resilient modulus is and past research efforts in predicting resilient modulus from index properties and other strength tests are discussed in chapter two. Soil collection, index property testing and resilient modulus testing are discussed in chapter three. A discussion of how well two different models predict the resilient modulus data from this project is presented in chapter four. The effects of stage loading on the resilient modulus test data are presented in chapter five. The regression procedure followed for model development is presented in chapter six. The sensitivity analysis performed on the equations developed in chapter six is presented in chapter seven. A summary of the project along with conclusions and recommendations is presented in chapter eight.

  • Record URL:
  • Supplemental Notes:
    • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    Mack Blackwell National Rural Transportation Center

    University of Arkansas, 4190 Bell Engineering Center
    Fayetteville, AR  United States  72702

    Arkansas State Highway and Transportation Department

    Planning and Research Division, P.O. Box 2261
    Little Rock, AR  United States  72203

    Research and Innovative Technology Administration

    1200 New Jersey Avenue, SE
    Washington, DC  United States  20590
  • Authors:
    • Dennis Jr, Norman D
    • Schwarz, Lois
    • Bruce, Jason W
  • Publication Date: 2007

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Appendices; Figures; Maps; Photos; References; Tables;
  • Pagination: 272p

Subject/Index Terms

Filing Info

  • Accession Number: 01547512
  • Record Type: Publication
  • Files: UTC, TRIS, RITA, ATRI, USDOT, STATEDOT
  • Created Date: Dec 10 2014 2:17PM