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Title:

Statistical Development of a Flow Number Predictive Equation for the Mechanistic-Empirical Pavement Design Guide

Accession Number:

01044579

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Over the past few years there has been significant interest in establishing a test method that could be employed universally to evaluate the material properties of a hot mix asphalt design, such that it would be indicative of field performance. The majority of interest has centered around dynamic modulus with primary efforts on refining associated predictive equations. However, some researchers feel that an additional test should be employed in conjunction with dynamic modulus within the Mechanistic-Empirical Pavement Design Guide. Currently, there is interest in incorporating flow number as the additional test method. If flow number is to be incorporated into the Mechanistic-Empirical Pavement Design Guide, a predictive equation relating flow number will need to be developed. In this paper, an initial predictive equation for flow number is presented. Seventeen mixtures were sampled around the State of Wisconsin, each with unique mix parameters. The flow number of these mixtures were evaluated at different air void and asphalt contents. Using the flow number test data, several statistical tools were employed to develop a model based on the given information. Aggregate characteristics were believed to affect flow number, hence the inclusion of aggregate characteristics in variable selection. The final model selected is based on six factors with a coefficient of determination greater than 0.90. The six factors found to be important for estimating flow number are number of gyrations, bitumen viscosity, voids in the mineral aggregate, percent passing the 4.75-mm sieve, percent passing the 1.18-mm sieve, and percent passing the 0.075-mm sieve.

Monograph Accession #:

01042056

Report/Paper Numbers:

07-1000

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kvasnak, Andrea
Robinette, Christopher John
Williams, R Christopher

Pagination:

18p

Publication Date:

2007

Conference:

Transportation Research Board 86th Annual Meeting

Location: Washington DC, United States
Date: 2007-1-21 to 2007-1-25
Sponsors: Transportation Research Board

Media Type:

CD-ROM

Features:

Figures (5) ; References (13) ; Tables (5)

Subject Areas:

Data and Information Technology; Highways; Materials; Pavements; I23: Properties of Road Surfaces; I31: Bituminous Binders and Materials

Source Data:

Transportation Research Board Annual Meeting 2007 Paper #07-1000

Files:

TRIS, TRB

Created Date:

Feb 8 2007 5:35PM