Resilient Modulus Prediction Models of Unbound Materials for Nevada

The resilient modulus (Mr) input parameter for unbound materials plays a major role in pavement designs and has a significant influence on the projected pavement performance. Hence, a proper estimation of the Mr value for locally available subgrade and crushed aggregate base materials becomes critical for designing long-lasting flexible pavements in Nevada. Currently, the Mr is being estimated from the R-Value using dated correlations that were established for specific group of soil types obtained from specific geographic areas that might not be applicable for the type of soils and base materials typically used in Nevada. Hence, the purpose of this study is to assess and enhance as needed the Mr correlation equations for Nevada. Any improvements to the correlation equations would result in a better characterization of the unbound materials encountered in Nevada. Such enhancements become critical and valuable when designing flexible pavements, and in particular for low volume roads which are very common in several rural and urban areas in Nevada.

Language

• English

Project

• Status: Completed
• Funding: $91330
• Sponsor Organizations:

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Managing Organizations:

  University of Nevada, Reno

  College of Engineering
  Reno, NV  United States  89557
• Performing Organizations:

  University of Nevada, Reno

  College of Engineering
  Reno, NV  United States  89557
• Principal Investigators:

  Hajj, Elie

• Start Date: 20160301
• Expected Completion Date: 20180930
• Actual Completion Date: 20180630

Subject/Index Terms

• TRT Terms: Base course (Pavements); Crushed aggregates; Flexible pavements; Modulus of resilience; Pavement design; Subgrade materials
• Geographic Terms: Nevada
• Subject Areas: Highways; Materials; Pavements;

Filing Info

• Accession Number: 01595994
• Record Type: Research project
• Source Agency: Center for Advanced Transportation Education and Research (CATER)
• Files: UTC, RIP
• Created Date: Apr 13 2016 11:27AM