Development of a finite element based thermal cracking performance prediction model.
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2009-09-15
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Abstract:Low-temperature cracking of hot-mix asphalt (HMA) pavements continues to be a leading cause of ; premature pavement deterioration in regions of cold climate and/or where significant thermal cycling ; occurs. Recent advances in fracture testing and modeling of HMA materials have greatly aided in the ; understanding of the key mechanisms behind this devastating pavement distress mode. While these ; advances have led to new insights into cracking mechanisms and design strategies, there remains the ; challenge of implementing these models into a standalone program which can be easily used by other ; researchers and practitioners. The proposed supplemental study extends the scope of the existing ; pooled fund study to more explicitly capture the interactions between vehicles and the infrastructure. ; Following the successful first phase of the National Pooled Fund Study on Low Temperature Cracking, a ; second phase will be initiated in mid-2007 and continue for two to three years. While the phase II study ; will provide additional funding for more field sections at the Minnesota Road Research (Mn/Road) ; facility and other locations in the US (selected participating states), there is a need for additional ; research which would facilitate the development of standalone, efficient code for thermal crack ; prediction. The main deliverable of this project is a user-friendly, computationally efficient program ; called Visual LTC, which can be used to analyze and to design against thermal cracking in asphalt ; pavements. This tool will greatly facilitate the design of economical pavement systems and the ; utilization of modern material formulations and construction techniques that are environmentally ; friendly and sustainable, such as the use of very high amounts of recycled materials and the use of low ; energy/low emission warm mix technologies. Planned work in the next phase of this study will lead to ; the integration of this software into a more holistic asset management analysis system.
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Main Document Checksum:urn:sha256:76319a00d1af01a3f78df6d121eabfadfa22b6073c945c0b05300990392693de