Variability in Highway Pavement Construction

Variability in Highway Pavement Construction
Author: Charles S. Hughes
Publisher: Transportation Research Board
Total Pages: 48
Release: 1996
Genre: Technology & Engineering
ISBN: 9780309060028

This synthesis will be of interest to state DOT construction, materials, statistical, specification, and inspection engineers; DOT research staff; pavement construction material suppliers; highway construction contractors; and civil engineering consulting firms, including field and laboratory materials testing personnel. The synthesis describes the state of the practice for defining and measuring variability in highway pavement construction. Data obtained from a review of the literature, a survey of state departments of transportation (DOTs), and discussions with selected state DOT personnel and private materials producers are presented. This report of the Transportation Research Board defines several measures of variability but concentrates on the use of standard deviation as the usual measure of variability. The synthesis updates reported typical variabilities found in materials and construction specifications. Also included are discussions of current research activities as related to variability, how variability can be used in the development of specification limits, the use of incentives and disincentives in specifications, and the need for additional information on the variability of several materials and construction processes.

Assessment of Selected LTPP Material Data Tables and Development of Representative Test Tables

Assessment of Selected LTPP Material Data Tables and Development of Representative Test Tables
Author:
Publisher:
Total Pages: 308
Release: 2003
Genre: Pavements
ISBN:

This report documents an evaluation of selected Long Term Pavement Performance (LTPP) material data tables as of January 2000. Issues addressed include the availability, characteristics, and quality of the data in the selected tables. Anomalies in the data were identified and corrected where possible, and the "cleaned-out" data were used in developing representative data tables. Recommendations for adjustments in the current data collection process are also presented