The new AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various what-if scenarios. MEPDG performance predictions for anticipated climatic and traffic conditions will depend on the values of the input parameters that characterize pavement materials, layers, design features, and condition. A comprehensive global sensitivity ana...

PO 101‐1 The Use of Analogous Materials to Assess Historical Exposures ‐ An Example Using Asbestos Cloth Products M. Holton, R. Adams, ENVIRON International Corp., Princeton, NJ. Situation/problem: Asbestos was historically used in over 3,000 unique products. Industrial hygiene exposure data is not available for many of these products. The majority of these products are not in production and t...

The performance models used in the Mechanistic-Empirical Pavement Design Guide (MEPDG) are nationally calibrated with design inputs and performance data obtained primarily from the national Long-Term Pavement Performance database. It is necessary to verify and calibrate MEPDG performance models for local highway agencies' implementation by taking into account local materials, traffic informatio...

The new AASHTO Mechanistic–Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various feasible design scenarios. The MEPDG performance predictions for the anticipated climatic and traffic conditions depends on the values of the input parameters that characterize the pavement materials, layers, design features, and condition. This paper focuses on ...

The present research was designed to determine thermal properties, such as coefficient of thermal expansion (CTE) and thermal conductivity, of portland cement concrete (PCC) used in Iowa pavements. These properties are required as input values by the AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG). In this research, a literature survey was conducted to determine the major factors tha...

 Abstract—Currently, there are few user friendly Weigh-inMotion (WIM) data analysis softwares available which can produce traffic input data for the recently developed AASHTOWare pavement Mechanistic-Empirical (ME) design software. However, these softwares have only rudimentary Quality Control (QC) processes. Therefore, they cannot properly deal with erroneous WIM data. As the pavement perform...

This paper proposes the use of neural network(NN-) based pavement structural analysis tools as surrogates for the flexible pavement response analysis in the new mechanistic empirical pavement design guide (MEPDG) developed for the American State Highway and Transportation Officials (AASHTO). Some of the recent successful applications of NN-based structural analysis models for predicting critica...