Masters Theses
Prediction of the resilient modulus of unbound granular base and subbase materials based on the California Bearing Ratio and other test data
Keywords and Phrases
California Bearing Ratio
Abstract
"The paper describes methods for predicting the reilient (elastic) modulus of unbound granular base and subbase materials used in flexible pavement construction based on California Bearing Ratio (CBR) and/or other test data. Current pavement design methods employ relationships that estimate the resilient modulus from CBR results. The most commonly referenced of these relationships are limited in that they were developed using roadbed soils with CBR values no larger than approximately 15%. Therefore, it could be helpful if a model were available that would reliably predict the resilient modulus over a wider range of CBR values and be more specific to unbound granular materials. In this study, four different Missouri aggregates were analyzed that are commonly used in pavement base layers. Two of the aggregates were gravels and two were crushed stone."--Abstract, page iii.
Department(s)
Civil, Architectural and Environmental Engineering
Degree Name
M.S. in Civil Engineering
Publisher
University of Missouri--Rolla
Publication Date
Summer 2004
Pagination
xv, 362 pages, CD-ROM
Note about bibliography
Includes bibliographical references.
Rights
© 2004 Steven Michael Lusher, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Subject Headings
Pavements, Flexible -- TestingShear strength of soils -- Testing
Thesis Number
T 8624
Print OCLC #
58557966
Recommended Citation
Lusher, Steven Michael, "Prediction of the resilient modulus of unbound granular base and subbase materials based on the California Bearing Ratio and other test data" (2004). Masters Theses. 2661.
https://scholarsmine.mst.edu/masters_theses/2661
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Comments
Accompanying CD-ROM, available at Missouri S&T Library, contains spreadsheets, plots, graphs, and SAS output in appendices.
System requirements: Microsoft Excel (Version 2000 (9.0) or higher; Adobe Acrobat Reader (Version 4.0 or higher)