2013
DOI: 10.17226/22625
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Sensitivity Evaluation of MEPDG Performance Prediction

Abstract: This report documents and presents the results of a study to evaluate the sensitivity of pavement performance predicted by the Mechanistic-Empirical Pavement Design Guide to the values of the design inputs. Global sensitivity analyses were performed for five pavement types under five climate conditions and three traffic levels. Design inputs evaluated in the analyses included traffic volume, layer thicknesses, material properties (e.g., stiffness, strength, HMA and PCC mixture characteristics, subgrade type), … Show more

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Cited by 26 publications
(46 citation statements)
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“…The rankings and µ ± 2σ values in Table 5 are judged to be the good measures of the MEPDG input sensitivities in the MEPDG. Graphical summaries of the input sensitivities by distress are available elsewhere (4).…”
Section: Discussion Of Resultsmentioning
confidence: 99%
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“…The rankings and µ ± 2σ values in Table 5 are judged to be the good measures of the MEPDG input sensitivities in the MEPDG. Graphical summaries of the input sensitivities by distress are available elsewhere (4).…”
Section: Discussion Of Resultsmentioning
confidence: 99%
“…This was pursued with a combination of insight from previous acceptable sensitivity studies and quantitative evaluations with OAT sensitivity analysis. Detailed procedures and results of MEPDG triage for JPCP inputs and OAT sensitivity analysis were given by Schwartz et al (4).…”
Section: Mepdg Triage For Jpcp Inputsmentioning
confidence: 99%
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“…Detailed discussions by Schwartz et al [4] on procedures employed by previous studies and related findings indicate that the previous MEPDG sensitivity studies have been limited in scope, approach, and findings. These limitations include varying only small subsets of inputs, reliance on sensitivity analysis approaches without answering the question that "if input x goes up by n%, output y goes down by m%", neglecting any correlations and/or interactions among input parameters, fewer studies focusing on CRCP performance predictions, and analysis using earlier versions of the MEPDG software and models which are different from the latest version of MEPDG software (version 1.1) that form the main framework of AASHTOWare Pavement ME Design.…”
Section: Introductionmentioning
confidence: 99%