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:
  • Subgrade (Pavements)
  • Soil mechanics
  • Modulus of resilience
  • Pavements--Mississippi--Subgrades
  • Soil mechanics--Mississippi
• 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.
  More +
• Format:
  PDF
• Funding:
  State Study # 172
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/24156/dot_24156_DS1.pdf
• File Type:
  [PDF - 319.69 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:1aef6666dcb034ddf4f7526094b8da3bc5ca92fc36ec20b8a63275631c9286e0e16493c4265cb9dbab4d3c9ba5fee4c8da40672e3580467efe399821f6729589