Estimation of aggregate deleterious content

Author

Gary William Davis

Abstract

"The purpose of this study was to develop regression equations that could relate specific aggregate tests to TM-71, MoDOT's method for quantifying deleterious materials. TM-71 is falling out of favor due to the high subjectivity of the procedure. The regression equations developed involve test which are more objective and have better observed precision, compared to TM-71. The regression equations were produced using data from many tests conducted at the Missouri University of Science and Technology (Missouri S&T). Nine aggregates were selected by MoDOT, five of which were seeded with additional deleterious materials collected from the associated quarries. Fourteen types of test methods were performed on the unseeded and seeded materials. Three tests were performed on the seeded aggregate: Los Angeles Abrasion, micro-Deval, and sieved slake durability. With the help of software packages, regression equations were developed from the test data. Some equations used only data from non-seeded (as-delivered) tests, while other equations used data from both non-seeded and seeded tests. This study also looked at the correlation of interrelated test data and the comparison of data to deleterious count percentages"--Abstract, page iii.

Advisor(s)

Richardson, David Newton

Committee Member(s)

Myers, John
Ge, Yu-Ning (Louis)

Department(s)

Civil, Architectural and Environmental Engineering

Degree Name

M.S. in Civil Engineering

Sponsor(s)

Missouri. Department of Transportation

Publisher

Missouri University of Science and Technology

Publication Date

Fall 2008

Pagination

xiv, 247 pages

Rights

© 2008 Gary William Davis, All rights reserved.

Document Type

Thesis - Citation

File Type

text

Language

English

Subject Headings

Aggregates (Building materials) -- TestingRoad materials -- Testing

Thesis Number

T 9430

Print OCLC #

313410910

Recommended Citation

Davis, Gary William, "Estimation of aggregate deleterious content" (2008). Masters Theses. 67.
https://scholarsmine.mst.edu/masters_theses/67