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

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

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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

File Language:

English

[PDF - 14.44 MB]

Details

Creators:

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

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

United States. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

P319
Resource Type:

Tech Report
Geographical Coverage:

Nebraska ; United States
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.
Format:

PDF
Download URL:

https://rosap.ntl.bts.gov/view/dot/40250/dot_40250_DS1.pdf
File Type:

[PDF - 14.44 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:29fa6f6974757e97a5f5b1e97441ec6dc0ced3bfac5fe778513e1f0da2465d3c

File Language:

English

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