Calibrating Mechanistic–Empirical Pavement Design Guide for North Carolina: Genetic Algorithm and Generalized Reduced Gradient Optimization Methods
Author:
Affiliation:
1. Stantec Consulting, Inc., 200–325 25th Street SE, Calgary, Alberta T2A 7H8, Canada.
2. Department of Civil, Construction, and Environmental Engineering, North Carolina State University, 2501 Stinson Drive, 208 Mann Hall, Raleigh, NC 27695-7908.
Abstract
Publisher
SAGE Publications
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
http://journals.sagepub.com/doi/pdf/10.3141/2305-14
Reference11 articles.
1. KimY. R. GIS-Based Implementation Methodology for the NCHRP Project 9-23A Recommended Soil Parameters for Use as Input to the MEPDG in North Carolina. Presented at 90th Annual Meeting of the Transportation Research Board, Washington, D.C., 2011.
2. SoulimanM.I., MamloukM. S., El-BasyounyM. M., and ZapataC. E. Calibration of the AASHTO MEPDG for Flexible Pavement for Arizona Conditions. Presented at 89th Annual Meeting of the Transportation Research Board, Washington, D.C., 2010.
3. Calibration of Mechanistic–Empirical Pavement Design Guide Permanent Deformation Models
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