Prediction of resilient modulus from soil index properties.

Details

• Creators:
  George, K. P.
• Corporate Creators:
  University of Mississippi. Dept. of Civil Engineering
• Corporate Contributors:
  Mississippi. Dept. of Transportation. Research Division ; United States. Federal Highway Administration
• Subject/TRT Terms:
  Modulus Of Resilience Pavements--Mississippi--Subgrades Soil Mechanics Soil Mechanics--Mississippi Subgrade (Pavements)
• Publication/ Report Number:
  FHWA/MS-DOT-RD-04-172 ; MS-DOT-RD-04-172
• Resource Type:
  Tech Report
• Geographical Coverage:
  Mississippi
• Edition:
  Final report.
• Corporate Publisher:
  University of Mississippi
• Abstract:
  Subgrade soil characterization in terms of Resilient Modulus (MR) has become crucial for pavement design. For a new
  
  design, MR values are generally obtained by conducting repeated load triaxial tests on reconstituted/undisturbed cylindrical
  
  specimens. Because the test is complex and time-consuming, in-situ tests would be desirable if reliable correlation equations
  
  could be established. Alternately, MR can be obtained from correlation equations involving stress state and soil physical
  
  properties. Several empirical equations have been suggested to estimate the resilient modulus. The main focus of this study is to
  
  substantiate the predictability of the existing equations and evaluate the feasibility of using one or more of those equations in
  
  predicting resilient modulus of Mississippi soils. This study also documents different soil index properties that influence
  
  resilient modulus.
  
  Correlation equations developed by the Long Term Pavement Performance (LTPP), Minnesota Road Research Project,
  
  Georgia DOT, Carmichael and Stuart Drumm et al., Wyoming DOT, and Mississippi DOT are studied/analyzed in detail. Eight
  
  road (subgrade) sections from different districts are selected and soils tested (TP 46 Protocol) for MR in the laboratory. Other
  
  routine laboratory tests are conducted to determine physical properties of the soil. Validity of the correlation equations are
  
  addressed by comparing measured MR to predicted MR. In addition, variations expected in the predicted MR due to inherent
  
  variability in soil properties is studied by the method of point estimates. The results suggest that LTPP equations are suited for
  
  purposes of predicting resilient modulus of Mississippi subgrade soils. For fine-grain soils, even better predictions are realized
  
  with the Mississippi equation.
  
  A sensitivity study of those equations suggests that the top five soil index properties influencing MR include moisture content,
  
  degree of saturation, material passing #200 sieve, plasticity index and density.
  
  
• Format:
  PDF
• Funding:
  State Study # 172
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:5de088095d62b46b8397b857a2e6eab26edea6c98ac7cc67ecf97c87e898c484
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24156/dot_24156_DS1.pdf
• File Type:
  [PDF - 319.69 KB ]