Development and Significance of Statewide Volume Adjustment Factors in Mechanistic–Empirical Pavement Design Guide

Author:

Tran Nam H.1,Hall Kevin D.1

Affiliation:

1. Department of Civil Engineering, University of Arkansas, 4190 Bell Engineering Center, Fayetteville, AR 72701.

Abstract

A new Mechanistic–Empirical Pavement Design Guide (MEPDG) has been developed under NCHRP Project 1-37A. Pavement design procedures recommended for use in MEPDG represent a significant departure from current procedures. The MEPDG requires new traffic inputs for estimating the magnitude, configuration, and frequency of the loads that are applied throughout the pavement design life. The Arkansas State Highway and Transportation Department (AHTD) sponsored research in which one objective was development of statewide truck traffic volume adjustment factors, including class and monthly and hourly distribution factors, and evaluating significance of the developed inputs in the MEPDG. The AHTD provided classification data collected at 55 weigh-in-motion (WIM) sites from 2003 through 2005. Because of missing and inaccurate classification data at several WIM sites, only 23 sites provided classification data suitable for this study. On the basis of selected data, statewide monthly, hourly, and class distribution factors were developed for Arkansas. Analyses using the MEPDG showed the state-specific class distribution factors to have a significant effect on predicted pavement performance, compared with predictions generated by using default distribution values. However, the effect of using state-specific monthly and hourly distribution factors on predicted pavement performance rather than default values was not significant. Therefore, it is recommended that the state-specific class distribution factors be used with the default monthly and hourly distribution factors in the MEPDG. In addition, periodic review and update of statewide class distribution factors, as necessary, are recommended.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference9 articles.

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1. Data needs and implementation of the Pavement ME Design;Transportmetrica A: Transport Science;2018-08-13

2. Implementation Initiatives of the Mechanistic-Empirical Pavement Design Guide in Countries with Insufficient Design Input Data – The Case of Lebanon;Advancement in the Design and Performance of Sustainable Asphalt Pavements;2017-07-12

3. Load Spectra–Incorporated Fatigue Cracking Model Implementation and Case Study;Transportation Research Record: Journal of the Transportation Research Board;2017-01

4. Clustering Vehicle Class Distribution and Axle Load Spectra for Mechanistic-Empirical Predicting Pavement Performance;Journal of Transportation Engineering;2016-11

5. Establishment of statewide axle load spectra data using cluster analysis;KSCE Journal of Civil Engineering;2014-12-19

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