Computer aided modeling of soil mix designs to predict characteristics and properties of stabilized road bases.

Jensen, Wayne; Berryman, Charles W.; Hensley, Tim; Mid-America Transportation Center

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Computer aided modeling of soil mix designs to predict characteristics and properties of stabilized road bases.

2009-07-01
By Jensen, Wayne ; Berryman, Charles W. ; Hensley, Tim

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English

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Details:

Creators:

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

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

Mid-America Transportation Center
Corporate Contributors:

Nebraska. Dept. of Roads
Subject/TRT Terms:

[+]

Base Course (Pavements) Computer Models Foundation Soils Subgrade (Pavements) Subgrade Materials
Publication/ Report Number:

SPR-P1 (09) P319 ; 26-1114-0022-001

SPR-P1 (09) P319 ; 26-1114-0022-001 Less -
Resource Type:

Tech Report
Geographical Coverage:

Nebraska
Corporate Publisher:

Nebraska Transportation Center
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 was no database for the Nebraska

Department of Roads to retrieve this data for predicting soil properties. The conventional methods

used to determine soil properties, such as maximum laboratory density and optimum moisture content,

were 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 was to develop a computerized model to predict the soil

properties of a given GI soil type using additives for soil stabilization. The model is able to predict the

maximum laboratory density and optimum moisture content of native soil. Additionally the model can

determine an optimum pozzolan percentage of soil stabilization."
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

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urn:sha256:369f219d97f0e520c0b8f05a8c00484ae5c88d66ecf058975ecb20a7fd8ceff3
Download URL:

https://rosap.ntl.bts.gov/view/dot/25280/dot_25280_DS1.pdf
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Computer aided modeling of soil mix designs to predict characteristics and properties of stabilized road bases.

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