Construction and Design Soil Property Correlation

Details

• Creators:
  Fragomeni, Cara ; Hedayat, Ahmadreza
• Corporate Creators:
  Colorado School of Mines
• Corporate Contributors:
  Colorado. Department of Transportation. Applied Research & Innovations Branch ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  A-2-4 Soil Colorado Soils Construction Correlation Analysis Databases Modulus Of Elasticity Modulus Of Resilience R-value Regression Analysis Soils By Properties Testing

  More +
• Publication/ Report Number:
  CDOT-2020-10
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Colorado
• Edition:
  Final Report
• Corporate Publisher:
  Colorado Department of Transportation. Applied Research & Innovations Branch
• Abstract:
  The main goal of this research study was to develop correlations among R-value, resilient modulus, and soil’s basic properties for available AASHTO soil types in databases in Colorado. In this study, an extensive database of systematically conducted resilient modulus and R-value tests along with the basic soil properties for Colorado soils was established. The R-value test database was developed by acquiring and analyzing many soil reports with R-value tests performed by CDOT.A multiple regression analysis was performed to correlate the R-value as the dependent variable with the fundamental soil properties as the independent variables. The resilient modulus database was developed by evaluating the test results of over200 previously conducted tests. The MEPDG-adopted generalized resilient modulus model was used in the statistic analysis and correlations were developed for estimating the resilient modulus model parameters ki based on the soil index properties. Because the previously conducted resilient modulus tests did not have all of the needed accompanying soil index test results, AASHTO soil type A-2-4 was selected as the target soil type for a more detailed and systematic testing and regression analysis. Thirty specimens of A-2-4 soil type were collected and tested for resilient modulus, R-value, and their basic physical properties through tests such as the sieve analysis, hydrometer testing, standard Proctor test, and Atterberg limits. A multiple regression analysis and stepwise regression analysis were performed to correlate the experimentally measured resilient modulus values with the fundamental soil properties; and the verified regression models for the A-2-4soil type were shown in this study to provide superior performance over the existing published models. Implementation Based on the results of this research study, several regression models were developed to be used for estimation of the R-value for AASHTO soil types A-1-a, A-1-b, A-2-4, A-2-6, A-2-7, A-4, A-6, and A-7-6. In addition, regression models for prediction of resilient modulus for AASHTO soil types A-2-4 were presented in this study. The same testing program and regression methodology can be applied to other soil types of interest.
• Format:
  PDF
• Funding:
  418.01
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:545155b20263c33659bc6aa6fe57814858f02e77a727c680fcc84a03fd72ac843a3a8fa9dcbf5a42847da699b06631c2d2fe74f0fda98558dae8ed6eb43ec0c5
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/88629/dot_88629_DS1.pdf
• File Type:
  [PDF - 2.79 MB ]