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    Development of Time–Depth–Damage Functions for Flooded Flexible Pavements 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 002:;page 04022011
    Author(s): Narges Matini; Yaning Qiao; Jo E. Sias
    Publisher: ASCE
    Abstract: The first step toward building pavement structures that are resilient to flooding is to have a proper understanding of the impact of inundation on the pavement. Depth-damage functions have been developed and are widely ...
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    Development of Complex Modulus-Based Rutting Index Parameter for Asphalt Mixtures 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Rasool Nemati; Eshan V. Dave; Jo E. Sias
    Publisher: ASCE
    Abstract: Rutting distress within a pavement structure has a direct correlation with mixtures’ structural responses to loading. For this reason, the complex modulus (|E*| and phase angle) master curves may be used to estimate the ...
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    Exploration of Cracking-Related Performance-Based Specification Indexes for Airfield Asphalt Mixtures 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2022:;Volume ( 148 ):;issue: 004:;page 04022057
    Author(s): Danial Mirzaiyanrajeh; Eshan V. Dave; Jo E. Sias; Navneet Garg
    Publisher: ASCE
    Abstract: This study assessed the cracking performance of warm-mix asphalt (WMA) and reclaimed asphalt pavement (RAP) mixtures for airfield pavements and explored performance-based airfield asphalt mix specifications. Fundamental ...
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    Comprehensive Evaluation of Properties and Performance of Asphalt Mixtures with Reactive Isocyanate and Styrene-Butadiene-Styrene-Modified Binders 

    Source: Journal of Materials in Civil Engineering:;2022:;Volume ( 034 ):;issue: 009:;page 04022228
    Author(s): Danial Mirzaiyanrajeh; Eshan V. Dave; Jo E. Sias; Zachary D. McKay; Phillip P. Blankenship
    Publisher: ASCE
    Abstract: The purpose of this study was to conduct a performance evaluation to investigate the effect of a newer type of asphalt binder modification system and to demonstrate the importance of performance prediction modeling over ...
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    Suitable Tests and Machine Learning Approach to Predict Moisture Susceptibility of Hot-Mix Asphalt 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2019:;Volume ( 145 ):;issue: 003
    Author(s): Rajib B. Mallick; Nivedya Madankara Kottayi; Ram Kumar Veeraragavan; Eshan Dave; Christopher DeCarlo; Jo E. Sias
    Publisher: American Society of Civil Engineers
    Abstract: The objectives of this study were to determine a suitable set of tests to use with a moisture-conditioning process and to develop a machine learning model to predict the moisture susceptibility of hot mix asphalt. ...
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