Estimation of subgrade resilient modulus using the unconfined compression test.

Details

• Creators:
  Hossain, M. Shabbir ; Kim, Wan Soo
• Corporate Creators:
  Virginia Center for Transportation Innovation and Research
• Corporate Contributors:
  United States. Federal Highway Administration ; Virginia. Dept. of Transportation
• Subject/TRT Terms:
  • Subgrade (Pavements)
  • Modulus of resilience
  • Compression tests
  • Mechanistic-empirical pavement design
  • California bearing ratio
  • Fine grained soils
  • Plasticity index
• Publication/ Report Number:
  FHWA/VCTIR 15-R12
• Resource Type:
  Tech Report
• Geographical Coverage:
  Virginia
• Corporate Publisher:
  Virginia Center for Transportation Innovation and Research
• Abstract:
  To facilitate pavement design, the new proposed mechanistic-empirical pavement design guide recommends the resilient ; modulus to characterize subgrade soil and its use for calculating pavement responses attributable to traffic and environmental ; loading. Although resilient modulus values could be determined through laboratory testing of actual subgrade soil samples, such ; testing would require significant resources including a high level of technical capability to conduct the test and interpret results. ; For smaller or less critical projects, where costly and complex resilient modulus testing is not justified, correlation with the ; results of other simpler tests could be used. ; The Virginia Department of Transportation (VDOT) uses a simple correlation with the California bearing ratio (CBR) to ; estimate the resilient modulus in their current pavement design procedure in accordance with the 1993 AASHTO design guide. ; As this correlation with CBR is considered to be poor, a simpler unconfined compression (UC) test was explored for better ; estimation of the resilient modulus of fine-grained soils. Several models were developed in this study to estimate the resilient ; modulus of fine-grained soil from the results of UC tests. The simplest model considers only the UC strength to predict the ; resilient modulus with a fair correlation. The more detailed models with stronger correlations also consider the plasticity index, ; percentage of materials passing the No. 200 sieve, and modulus of the stress-strain curve from the UC test. These models are ; recommended for implementation by VDOT.
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• Format:
  PDF
• Funding:
  96993
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/28274/dot_28274_DS1.pdf
• File Type:
  [PDF - 422.21 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:5e85f152d861f49bde36f63d8a5847c807b6f72872c59badb2935d4a694692b8