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

被引:6
|
作者
Islam, Kazi Moinul [1 ]
Gassman, Sarah L. [1 ]
机构
[1] Univ South Carolina, Dept Civil & Environm Engn, Columbia, SC 29208 USA
关键词
pavement distress; IRI; MEPDG; subgrade resilient modulus; FWD;
D O I
10.3390/ma16031126
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
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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页数:17
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