Evaluation of Mechanistic-Empirical Design Guide Input Parameters for Resilient Modulus of Subgrade Soils in Oklahoma

2011 ◽  
Vol 39 (5) ◽  
pp. 103603 ◽  
Author(s):  
M. R. Mitchell ◽  
R. E. Link ◽  
Zahid Hossain ◽  
Musharraf Zaman ◽  
Curtis Doiron ◽  
...  
Author(s):  
Tommy Nantung ◽  
Ghassan Chehab ◽  
Scott Newbolds ◽  
Khaled Galal ◽  
Shuo Li ◽  
...  

The release of the Mechanistic–Empirical Design Guide for New and Rehabilitated Pavement Structures (M-E design guide) generated a new paradigm for designing and analyzing pavement structures. It is expected to replace the commonly used empirical design methodologies. The M-E design guide uses a comprehensive suite of input parameters deemed necessary to design pavements with high reliability and to predict pavement performance and distresses realistically. However, the considerable amount of input needed and the selection of the corresponding reliability level for each might present state highway agencies with complexities and challenges in its implementation. An overview is presented of ongoing investigative studies, sensitivity analyses, and preimplementation initiatives conducted by the Indiana Department of Transportation (INDOT) in an effort to accelerate the adoption of the new pavement design guide by efficiently using existing design parameters and determining those parameters that influence the predicted performance the most. Once the sensitive inputs are identified, the large amount of other required design input parameters can be significantly reduced to a manageable level for implementation purposes. A matrix of trial runs conducted with the M-E design guide software suggests that a higher design level input does not necessarily guarantee a higher accuracy in predicting pavement performance. The software runs also confirmed the need to use input values obtained from local rather than national calibration. Such findings are important for state highway agencies such as INDOT in drafting initiatives for implementing the M-E design guide.


2013 ◽  
Vol 742 ◽  
pp. 109-115 ◽  
Author(s):  
Md Tahmidur Rahman ◽  
Anthony S. Cabrera ◽  
A. Tarefder Rafiqul

Resilient modulus (MR) is a laboratory determined parameter of pavement subgrade soil which is an important design input for the Mechanistic Empirical Pavement Design Guide (MEPDG). There are two accepted laboratory testing protocols for determining MR, namely AASHTO T307 and NCHRP 1-28A. AASHTO method is more popular because of its simplicity in positioning the load and deformation transducers. This study is undertaken to examine the available test protocols for New Mexico subgrade soil by varying the location of deformation transducers and effects of sample size. AASHTO A-6 subgrade soils have been collected from the state of New Mexico, USA. Specimens of 2.8 inch and 4 inch diameters are reconstituted using modified proctor compaction.Resilient modulus values aredetermined using external and internal deformation techniques. Comparative analyses are performed and amount of extraneous large deformation (lower MR) measured by the AASHTO recommended external deformation transducers is measured.In addition, appropriate internal deformation measurement methods are recommended to obtain most consistent MR values. 2.8 inch and 4 inch diameter sample generate almost similar MR values.


Author(s):  
Andrew G. Heydinger

One objective of the FHWA’s Long-Term Pavement Performance (LTPP) program is to determine climatic effects on pavement performance. The LTPP instrumentation program includes seasonal monitoring program (SMP) instrumentation to monitor the seasonal variations of moisture, temperature, and frost penetration. Findings from the SMP instrumentation are to be incorporated into future pavement design procedures. Data from SMP instrumentation at the Ohio Strategic Highway Research Program Test Road (US-23, Delaware County, Ohio) and other reported results were analyzed to develop empirical equations. General expressions for the seasonal variations of average daily air temperature and variations of temperature and moisture in the fine-grained subgrade soil at the test site are presented. An expression for the seasonal variation of resilient modulus was derived. Average monthly weighting factors that can be used for pavement design were computed. Other factors such as frost penetration, depth of water table, and drainage conditions are discussed.


2020 ◽  
Vol 32 (9) ◽  
pp. 06020011
Author(s):  
Behnam Ghorbani ◽  
Arul Arulrajah ◽  
Guillermo Narsilio ◽  
Suksun Horpibulsuk ◽  
Myint Win Bo

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