TY - GEN
T1 - Impact of Climate Data Sources on Pavement Mechanistic-Empirical Design Pavement Distress Predictions
AU - Marath, Ashith
AU - Revelli, Venkatsushanth
AU - Huang, Chenchen
AU - Swarna, Surya Teja
AU - Goli, Arun Kumar
AU - Mehta, Yusuf
N1 - Publisher Copyright:
© ASCE 2023.All rights reserved.
PY - 2023
Y1 - 2023
N2 - In the Pavement Mechanistic-Empirical Design (PMED) approach, several climatic factors such as air temperature, precipitation, percentage sunshine, and humidity are considered for analyzing and predicting pavement distresses. Current version of AASHTOWare (version 2.6.22) is integrated with Modern Era Retrospective Analysis for Research and Application (MERRAv2.0) database to retrieve these climatic data inputs for prediction of distresses in flexible pavements. This paper compared the predicted distresses of flexible pavements designed for different locations in the state of New Jersey using three climate data sources: (1) MERRA database from the National Aeronautical and Space Administration (NASA); (2) MERRAv2.0, an improved version of MERRA; and (3) North American Regional Reanalysis (NARR) data supplied with the AASHTOWare version 2.3.1. Predictions on permanent deformation in asphalt layer and bottom-up cracking in asphalt layer were found to be the most affected distresses due to change in climatic data source. NARR climatic data set had a lower prediction on permanent deformation in asphalt layer and bottom-up cracking compared to MERRA and MERRAv2.0. Permanent deformations in asphalt layer using MERRA and MERRAv2 were found sensitive to the bias in windspeed data that was specific to certain locations. MERRAv2 had a higher prediction value (up to 40%) for bottom-up cracking compared to that of MERRA climatic data. International Roughness Index (IRI), top-down cracking, and thermal cracking were found to be least affected due to change in climatic data source. Consequently, this could lead to assessing the requirement for recalibration of the performance prediction models for the state of New Jersey.
AB - In the Pavement Mechanistic-Empirical Design (PMED) approach, several climatic factors such as air temperature, precipitation, percentage sunshine, and humidity are considered for analyzing and predicting pavement distresses. Current version of AASHTOWare (version 2.6.22) is integrated with Modern Era Retrospective Analysis for Research and Application (MERRAv2.0) database to retrieve these climatic data inputs for prediction of distresses in flexible pavements. This paper compared the predicted distresses of flexible pavements designed for different locations in the state of New Jersey using three climate data sources: (1) MERRA database from the National Aeronautical and Space Administration (NASA); (2) MERRAv2.0, an improved version of MERRA; and (3) North American Regional Reanalysis (NARR) data supplied with the AASHTOWare version 2.3.1. Predictions on permanent deformation in asphalt layer and bottom-up cracking in asphalt layer were found to be the most affected distresses due to change in climatic data source. NARR climatic data set had a lower prediction on permanent deformation in asphalt layer and bottom-up cracking compared to MERRA and MERRAv2.0. Permanent deformations in asphalt layer using MERRA and MERRAv2 were found sensitive to the bias in windspeed data that was specific to certain locations. MERRAv2 had a higher prediction value (up to 40%) for bottom-up cracking compared to that of MERRA climatic data. International Roughness Index (IRI), top-down cracking, and thermal cracking were found to be least affected due to change in climatic data source. Consequently, this could lead to assessing the requirement for recalibration of the performance prediction models for the state of New Jersey.
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U2 - 10.1061/9780784484890.016
DO - 10.1061/9780784484890.016
M3 - Conference contribution
AN - SCOPUS:85165787715
T3 - Airfield and Highway Pavements 2023: Design, Construction, Condition Evaluation, and Management of Pavements - Selected Papers from the International Airfield and Highway Pavements Conference 2023
SP - 162
EP - 172
BT - Design, Construction, Condition Evaluation, and Management of Pavement
A2 - Garg, Navneet
A2 - Bhasin, Amit
A2 - Vandenbossche, Julie M.
PB - American Society of Civil Engineers (ASCE)
T2 - 2023 International Conference on Airfield and Highway Pavements
Y2 - 14 June 2023 through 17 June 2023
ER -