Resilient modulus of compacted crushed stone aggregate bases.

Hopkins, Tommy C.; Beckham, Tony L.; Sun, Charlie

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Resilient modulus of compacted crushed stone aggregate bases.

2007-11-07
By Hopkins, Tommy C. ; Beckham, Tony L. ; Sun, Charlie

File Language:

English

Details

Creators:

Hopkins, Tommy C. ; Beckham, Tony L. ; Sun, Charlie
Corporate Creators:

University of Kentucky Transportation Center
Corporate Contributors:

Kentucky. Transportation Cabinet ; United States. Federal Highway Administration
Subject/TRT Terms:
Publication/ Report Number:

KTC-05-27/SPR-229-01-1F
Resource Type:

Tech Report
Geographical Coverage:

Kentucky
Corporate Publisher:

University of Kentucky Transportation Center
Abstract:

The main goal of this study was to establish a simple and efficient means of predicting the resilient modulus of different types of Kentucky crushed stone aggregate bases. To accomplish this purpose, resilient modulus of different tests were performed on several different types of aggregate bases commonly used in Kentucky. Specimens were remolded to simulate compaction conditions typically encountered in the field. Tests were performed on wet and dry specimens. ; A new mathematical resilient modulus model, developed in a previous study by researchers of the University of Kentucky Transportation Center (UKTC), was used to relate resilient modulus to any selected, or calculated, principal stresses in the aggregate base. This model improves the means of obtaining best data "fits" between resilient modulus and stresses. Also, multiple regression analysis was performed using other models develop by the National Cooperative Highway Research Program and Uzan (1985) to obtain the model coefficient.
Format:

PDF
Funding:

KYSPR-229-01
Download URL:

https://rosap.ntl.bts.gov/view/dot/21627/dot_21627_DS1.pdf
File Type:

[PDF - 2.49 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha-512:fa21c01040e7f82e8009bffa818b32498dd19ec338f936b737fcb8df301825625b9ef4602ca8868a6470c29335a38ff63e4abb953c07c6bea2020b36b808410f

File Language:

English

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