Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/100467

Evaluating the Effect of Oʻahu Climate Data on MEPDG Distress Predictions

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Item Summary

Title: Evaluating the Effect of Oʻahu Climate Data on MEPDG Distress Predictions
Authors: Perrett, Matthew Kenneth
Keywords: predict climatic effects
weather data
Issue Date: May 2014
Publisher: [Honolulu] : [University of Hawaii at Manoa], [May 2014]
Abstract: The purpose of this project was to create new climatic data files for Oʻahu that represent the variation of conditions found on the island, and determine if the use of these files has any significant impact on distress predictions using the Mechanistic Empirical Pavement Design Guide (MEPDG). The Enhanced Integrated Climatic Model (EICM), used by the MEPDG to predict the climatic effects on material properties, cannot accept missing values in the hourly datasets; therefore, Amelia II was used to perform a multiple imputation analysis on the weather data that was collected. MEPDG runs were conducted with both the default climate file and the new climate files; the impact of these new files on the top-down fatigue cracking, bottom-up fatigue cracking, and rutting predictions was evaluated.
It was found that, while most of the stations predicted similar levels of distresses, the climate station using data from Wheeler Army Air Field had consistently slower distress predictions. The primary cause of this was the consistently lower temperatures measured at this station compared to the others. While differences in precipitation amounts had a quantifiable impact on the resilient modulus of the subgrade, the precipitation data from each station were too low to have a significant impact on the final prediction results. Ultimately, it was determined that while Oʻahu's climate is not as variable as most areas in the United States, the climate variation found in different parts of the island can play a significant role in the prediction of pavement distresses; thus, the development of additional climate station files is warranted.
Description: M.S. University of Hawaii at Manoa 2014.
Includes bibliographical references.
URI/DOI: http://hdl.handle.net/10125/100467
Rights: All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner.
Appears in Collections:M.S. - Civil and Environmental Engineering



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