Computerized Aided Modeling of Soil Mix Designs to Predict Characteristics and Properties of Stabilized Road Bases

Berryman, Charles W.; Jensen, Wayne; Hensley, Tim; Nebraska. Department of Roads; University of Nebraska--Lincoln. Charles W. Durham School of Architectural Engineering and Construction

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Computerized Aided Modeling of Soil Mix Designs to Predict Characteristics and Properties of Stabilized Road Bases

2010-03-28
By Berryman, Charles W. ; Jensen, Wayne ; Hensley, Tim

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English

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Creators:

Berryman, Charles W. ; Jensen, Wayne ; Hensley, Tim

Berryman, Charles W. ; Jensen, Wayne ; Hensley, Tim Less -
Corporate Creators:

Nebraska. Department of Roads ; University of Nebraska--Lincoln. Charles W. Durham School of Architectural Engineering and Construction

Nebraska. Department of Roads ; University of Nebraska--Lincoln. Charles W. Durham School of Architectural Engineering and Construction Less -
Corporate Contributors:

United States. Federal Highway Administration
Subject/TRT Terms:

[+]

Additives Base Course (Pavements) Computer Models Geotechnology Highways I42: Soil Mechanics Materials Selection Soils By Properties Soil Stabilization
Publication/ Report Number:

P319
Resource Type:

Tech Report
Geographical Coverage:

Nebraska ; United States

Nebraska ; United States Less -
TRIS Online Accession Number:

01164217
Edition:

Final Report
Corporate Publisher:

Federal Highway Administration
Abstract:

The purpose of this research was to develop a computerized model to predict soil properties stabilized using additives such as lime, cement kiln dust, and flyash. Properties were based on specified soils using the Nebraska Group Index (NGI). The model is able to predict the maximum laboratory density and optimum moisture content for native soils. It will also predict the soil properties of NGI soils stabilized with pozzolan additives, including maximum laboratory density, optimum moisture content, unconfined compressive strength, and modified plasticity index. A review of the literature demonstrated that it is very possible to create a soil prediction model through specialized software applications like artificial neural networks. The research team and the Nebraska Department of Roads (NDOR) elected to use Microsoft Excel 2007 to create the model due to ease of use and the commonality of the program within NDOR staff.
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US Transportation Collection
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urn:sha256:29fa6f6974757e97a5f5b1e97441ec6dc0ced3bfac5fe778513e1f0da2465d3c
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https://rosap.ntl.bts.gov/view/dot/40250/dot_40250_DS1.pdf
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Computerized Aided Modeling of Soil Mix Designs to Predict Characteristics and Properties of Stabilized Road Bases

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