Climate and Groundwater Data to Support Mechanistic-Empirical Design in South Dakota
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2015-07-21
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Edition:Final Report 12/22/2013-05/31/15
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Abstract:The analysis methodology in the AASHTO mechanistic pavement design guide (MEPDG) places a strong emphasis on the influence of climate conditions and groundwater on the prediction of pavement performance. The accuracy and reliability of these data are crucial for accurate and reliable pavement structure design. This report summarizes the quality of climate and groundwater data collected from different sources that are available in South Dakota, and compares pavement performance predictions for asphalt concrete and jointed plain concrete pavements calculated using three different climate data sources. These sources include weather stations embedded in the AASHTOWare® Pavement ME Design™ software, ground-based weather stations (GBWS) and NASA`s Modern-Era Retrospective Research Analysis (MERRA). The results of this study indicate that MEPDG predictions calculated with MERRA, GBWS and MEPDG weather station data were similar. Results also indicate that use of MERRA data has many advantages over GBWS and MEPDG weather data, such as (1) greater and more uniform spatial coverage area; (2) longer periods of continuous climate data; and (3) higher quality data.
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Main Document Checksum:urn:sha-512:f9f7e4d3b3ef41dba3c4c238042ca1de767c3c7fb34052fce159b2491938c6b382b382280a22bb5e1e6ceaa9d5426af7fd50682b84c8f45100b9bf6913da9c47
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