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Mid-America Transportation Center

NDOR Computerized Aided Modeling of Soil Mix Design to Predict Characteristics and Properties of Stabilized Road BasNe

Final Report
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Researchers

  • Principal Investigator: Charles Berryman (cberryman1@unlnotes.unl.edu (402)472-0098)
  • Co-Principal Investigator: Wayne Jensen (wjensen2@unl.edu (402)472-3738)
  • Project Status
    Complete
    Sponsors & Partners
  • Nebraska Department of Roads
  • About this Project
    Brief Project Description & Background
    There currently is no database for the Nebraska Department of Roads to retrieve data on soils tested and documented for predicting soil properties. The conventional method used to determine soil properties is tedious, labor intensive and time consuming. When soil stabilization is involved, more time and efforts are needed to determine maximum laboratory density, optimum moisture content and optimum pozzolan content. The objective of this project is to develop a computerized model to predict the soil properties of a given GI soil type using additives for soil stabilization. The model will be able to predict the maximum laboratory density and optimum moisture content of native soil.
    Research Objective
    The objective of this project is to develop a computerized model to predict the soil properties of a given GI soil type using additives for soil stabilization.
    Potential Benefits
    The model developed will enable NDOR personnel to easily retrieve data to help predict soil properties, which will save time and effort.
    Abstract
    Considerable data exists for soils that were tested and documented, both for native properties and properties with pozzolan stabilization. While the data exists there currently is no database for the Nebraska Department of Roads to retrieve this data for predicting soil properties. The conventional method used to determine soil properties, such as maximum laboratory density and optimum moisture content, is tedious, labor intensive and time consuming. When soil stabilization is involved, more time and efforts are needed to determine maximum laboratory density, optimum moisture content and optimum pozzolan content. The objective of this project is to develop a computerized model to predict the soil properties of a given GI soil type using additives for soil stabilization. The model will be able to predict the maximum laboratory density and optimum moisture content of native soil. Additionally the model will determine an optimum pozzolan percentage of soil stabilization.
    Project Amount
    $ 40,256