Preparation of the Implementation Plan of AASHTO Mechanistic-Empirical Pavement Design Guide (M-EPDG) in Connecticut: Phase II: Expanded Sensitivity Analysis and Validation with Pavement Management Data

Yut, Iliya; Hansen, Gilbert; Larsen, Donald A.; University of Connecticut

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Preparation of the Implementation Plan of AASHTO Mechanistic-Empirical Pavement Design Guide (M-EPDG) in Connecticut: Phase II: Expanded Sensitivity Analysis and Validation with Pavement Management Data

2017-02-08
By Yut, Iliya ; Hansen, Gilbert ; Larsen, Donald A.

[PDF-3.82 MB]

English

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Creators:

Yut, Iliya ; Hansen, Gilbert ; Larsen, Donald A.

Yut, Iliya ; Hansen, Gilbert ; Larsen, Donald A. Less -
Corporate Creators:

University of Connecticut
Corporate Contributors:

Connecticut. Dept. of Transportation ; United States. Federal Highway Administration

Connecticut. Dept. of Transportation ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Accuracy Analysis Asphalt Content Composite Pavements Cracking M-EPDG M-EPDG Implementation Mechanistic-empirical Pavement Design Pavement Distress Sensitivity Sensitivity Analysis Software Statistical Analysis Validation
Publication/ Report Number:

CT-2293-F-17-1
Resource Type:

Tech Report
Geographical Coverage:

Connecticut
Corporate Publisher:

University of Connecticut
Abstract:

The study re-evaluates distress prediction models using the Mechanistic-Empirical Pavement Design Guide (MEPDG) and expands the sensitivity analysis to a wide range of pavement structures and soils. In addition, an extensive validation analysis of the accuracy of the M-EPDG model predictions was conducted using CTDOT’s Pavement Management Information System (PMIS) data. The major findings indicate: (1) Overall, the Pavement-ME software has capability of running multiple simulation projects simultaneously, thus accelerating sensitivity analyses. (2) The PMIS in Connecticut was found to report overestimated extent of linear cracking, most likely, due to built-in settings of the processing algorithms. (3) The statistical analysis of predicted and reported distress values indicated poor accuracy of Pavement-ME predictions regarding fatigue and thermal cracking in Connecticut. On the other hand, longitudinal cracking, IRI, and rutting predictions were found correlated with PMIS-reported values. (4) This study confirmed that an increase in the level of detail for asphalt material properties could lead to an increase in accuracy for longitudinal cracking prediction.
Format:

PDF
Funding:

CT Study No. SPR-2293
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:3dda5d781b6441f802bfe001ce32a915f472a6b0932e7688e66a8978cf6ab41c
Download URL:

https://rosap.ntl.bts.gov/view/dot/31895/dot_31895_DS1.pdf
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Preparation of the Implementation Plan of AASHTO Mechanistic-Empirical Pavement Design Guide (M-EPDG) in Connecticut: Phase II: Expanded Sensitivity Analysis and Validation with Pavement Management Data

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