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Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG

This paper highlights the subgrade resilient modulus (M(R)), which is recognized as an important parameter to characterize the stiffness of the subgrade soil for designing flexible pavement. In this study, 18 thin-walled Shelby tube samples of fine-grained subgrade soils were collected from two site...

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Autores principales: Islam, Kazi Moinul, Gassman, Sarah L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919371/
https://www.ncbi.nlm.nih.gov/pubmed/36770133
http://dx.doi.org/10.3390/ma16031126
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author Islam, Kazi Moinul
Gassman, Sarah L.
author_facet Islam, Kazi Moinul
Gassman, Sarah L.
author_sort Islam, Kazi Moinul
collection PubMed
description This paper highlights the subgrade resilient modulus (M(R)), which is recognized as an important parameter to characterize the stiffness of the subgrade soil for designing flexible pavement. In this study, 18 thin-walled Shelby tube samples of fine-grained subgrade soils were collected from two sites in South Carolina (Laurens/SC-72 and Pickens/SC-93) and tested in the laboratory using AASHTO T307-99 to obtain the M(R). In addition, falling weight deflectometer (FWD) tests were performed on the same pavement sections to obtain the back-calculated M(R(FWD)) per the AASHTOWare 2017 back-calculation tool. A subgrade M(R) catalog was established and used to select hierarchical Input Level 2 for Pavement Mechanistic-Empirical design (PMED) analysis (v 2.6.1). The PMED analysis was run for 20 years. The Mechanistic-Empirical Pavement Design Guide (MEPDG) and global calibration values were used to predict asphalt concrete (AC) pavement distresses (e.g., rutting, bottom-up fatigue, top-down fatigue, and transverse cracking) and International Roughness Index (IRI) for each pavement section. The predicted values were compared to the field-measured values to determine bias and the standard error of the estimate to validate each distress prediction model for local calibration.
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spelling pubmed-99193712023-02-12 Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG Islam, Kazi Moinul Gassman, Sarah L. Materials (Basel) Article This paper highlights the subgrade resilient modulus (M(R)), which is recognized as an important parameter to characterize the stiffness of the subgrade soil for designing flexible pavement. In this study, 18 thin-walled Shelby tube samples of fine-grained subgrade soils were collected from two sites in South Carolina (Laurens/SC-72 and Pickens/SC-93) and tested in the laboratory using AASHTO T307-99 to obtain the M(R). In addition, falling weight deflectometer (FWD) tests were performed on the same pavement sections to obtain the back-calculated M(R(FWD)) per the AASHTOWare 2017 back-calculation tool. A subgrade M(R) catalog was established and used to select hierarchical Input Level 2 for Pavement Mechanistic-Empirical design (PMED) analysis (v 2.6.1). The PMED analysis was run for 20 years. The Mechanistic-Empirical Pavement Design Guide (MEPDG) and global calibration values were used to predict asphalt concrete (AC) pavement distresses (e.g., rutting, bottom-up fatigue, top-down fatigue, and transverse cracking) and International Roughness Index (IRI) for each pavement section. The predicted values were compared to the field-measured values to determine bias and the standard error of the estimate to validate each distress prediction model for local calibration. MDPI 2023-01-28 /pmc/articles/PMC9919371/ /pubmed/36770133 http://dx.doi.org/10.3390/ma16031126 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Islam, Kazi Moinul
Gassman, Sarah L.
Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title_full Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title_fullStr Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title_full_unstemmed Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title_short Predicting Flexible Pavement Distress and IRI Considering Subgrade Resilient Modulus of Fine-Grained Soils Using MEPDG
title_sort predicting flexible pavement distress and iri considering subgrade resilient modulus of fine-grained soils using mepdg
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919371/
https://www.ncbi.nlm.nih.gov/pubmed/36770133
http://dx.doi.org/10.3390/ma16031126
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