Using the mechanistic-empirical pavement design guide for material selection
DOI:
https://doi.org/10.17533/udea.redin.13122Keywords:
pavement design, sensitivity analysis, MEPDG, M-E PDG, pavement materialsAbstract
The general design approach in the Mechanistic-Empirical pavement Design Guide (MEPDG) is to compare the performance of several trail structures over the design period against previously defined performance criteria to choice the best alternative after life cycle and constructability analyses. The material properties are selected from laboratory testing, correlation or typical values depending on the hierarchical levels deÆ ned by the designers. Layers in a flexible pavement structure are built with different materials and different asphalt mix types. The MEPDG predicted performance of pavement structures varies with variations of the material properties and material properties combination in the different layers. The effect on pavement performance from variations of material properties in the different layers of a pavement structure is analyzed in this study using MEPDG. The study showed that results from sensitivity studies of MEPDG to material properties can be used in selection of pavement materials for better performance.
Downloads
References
ARA, Inc. ERES Consultants Division. Guide for Mechanistic-Empirical Design of New and Rehabilitated Pavement Structures. Final Report, NCHRP Project 1-37A. Transportation Research Board of the National Academies, Washington, DC. 2004. Available in www.trb.org/mepdg/guide.htm.
A. Orobio. Sensitivity Analysis of Flexible Pavement Performance Parameters in the Mechanistic Empirical Design Guide. Dissertation. West Virginia University. Morgantown. USA. 2010. pp.194.
A. Orobio, J. Zaniewski. “Sampling-Based Sensitivity Analysis of the Mechanistic-Empirical Pavement Design Guide Applied to Material Inputs”. Journal of the Transportation Research Board, No 2226. 2011. pp. 85-93. DOI: https://doi.org/10.3141/2226-09
K. Hall, S. Beam. “Estimating the sensitivity of design input variables for rigid pavement analysis with a mechanistic - Empirical design guide”. Journal of the Transportation Research Board. Vol. 1919. 2005. pp. 65-73. DOI: https://doi.org/10.1177/0361198105191900108
S. Haider, R. Harichandran. “Effect of Axle Load Spectrum Characteristics on Flexible Pavement Performance”. Journal of the Transportation Research Board, No 2095. 2009. pp. 101-114. DOI: https://doi.org/10.3141/2095-11
J. Li, L. Pierce, M. Hallenbeck, J. Uhlmeyer. “Sensitivity of Axle Load Spectra in the Mechanistic Empirical Pavement Design Guide for Washington State”. Journal of the Transportation Research Board, No 2093. 2009. pp. 50-56. DOI: https://doi.org/10.3141/2093-06
A. Papagiannakis, M. Bracher, J. Li, N. Jackson. “Sensitivity of NCHRP 1-37A Pavement Design to Traffc Input”. Journal of the Transportation Research Board, No 1945. 2006. pp. 49-55. DOI: https://doi.org/10.1177/0361198106194500107
D. Timm, J. Bower, R. Turochy. “Effect of Load Spectra on Mechanistic-Empirical Flexible Pavement Design”. Journal of the Transportation Research Board, No 1947. 2006; pp. 146-154. DOI: https://doi.org/10.1177/0361198106194700114
A. Guclu, H. Ceylan, K. Gopalakrishnan, S. Kim. “Sensitivity Analysis of Rigid Pavement Systems Using the Mechanistic-Empirical Design Guide Software”. ASCE Journal of Transportation Engineering. Vol 135. 2009. pp. 555-562. DOI: https://doi.org/10.1061/(ASCE)TE.1943-5436.0000036
Ws. Haider, B. Neeraj, C. Karim. Simplified approach for quantifying effect of significant input variables and designing rigid pavements using M-E PDG. CDROM. Transportation Research Board of the National Academies. Washington, DC. 2009. pp. 25.
V. Kannekanti, J. Harvey. Sensitivity analysis of 2002 design guide distress prediction models for jointed plain concrete pavement. Journal of the Transportation Research Board, No 1947. 2006. pp. 91-100. DOI: https://doi.org/10.1177/0361198106194700109
S. Kim, H. Ceylan, K. Gopalakrishna. “Effect of M-E design guide inputs on flexible pavement performance predictions”. Road Materials and Pavement Design. Vol 8. 2007. pp. 375-397. DOI: https://doi.org/10.1080/14680629.2007.9690080
R. Graves, K. Mahboub. “Pilot study in sampling based sensitivity analysis of NCHRP design guide for flexible pavements”. Journal of the Transportation Research Board, No 1947. 2006. pp. 123-135.
H. Ceylan, B. Coree, K. Gopalakrishnan. Strategic Plan for Implementing Mechanistic-Empirical Pavement Design Guide in Iowa. In Proc. of the TRB 85th Annual Meeting. 22-26 Enero de 2006. Washington DC, USA. pp. 1-23.
Y. Kim, N. Muthadi. Implementation Plan for the New Mechanistic-Empirical Pavement Design Guide. NCDOT Final Report. Raleigh: North Carolina State University. Raleigh (USA). 2006. pp. 623.
S. Haider, N. Buch, K. Chatii. Simplified approach for quantifying effect of significant input variables and designing rigid pavements using M-E PDG. Presented at 88th Annual Meeting Transportation Research Board. Washington, DC. 2009. pp. 25.
J. Sacks, W. Welch, T. Mitchell, H. Wynn. “Design and Analysis of Computer Experiments”. Statistical Science. Vol. 4. 1989. pp. 409-423. DOI: https://doi.org/10.1214/ss/1177012413
R. Graves, K. Mahboub. “Pilot study in Sampling Based sensitivity analysis of NCHRP design guide for flexible pavements”. Journal of the Transportation Research Board. No. 1947. 2006. pp. 123-135. DOI: https://doi.org/10.1177/0361198106194700112
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Revista Facultad de Ingeniería
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Revista Facultad de Ingeniería, Universidad de Antioquia is licensed under the Creative Commons Attribution BY-NC-SA 4.0 license. https://creativecommons.org/licenses/by-nc-sa/4.0/deed.en
You are free to:
Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material
Under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
The material published in the journal can be distributed, copied and exhibited by third parties if the respective credits are given to the journal. No commercial benefit can be obtained and derivative works must be under the same license terms as the original work.