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    Artificial Neural Network Modeling for Dynamic Modulus of Hot Mix Asphalt Using Aggregate Shape Properties 

    Source: Journal of Materials in Civil Engineering:;2013:;Volume ( 025 ):;issue: 001
    Author(s): Dharamveer Singh; Musharraf Zaman; Sesh Commuri
    Publisher: American Society of Civil Engineers
    Abstract: Over the past few years, many regression-based and artificial neural network (ANN)-based models have been developed to estimate the dynamic modulus of hot mix asphalt (HMA). These models use the gradation of aggregates and ...
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    Quality Assurance of Hot Mix Asphalt Pavements Using the Intelligent Asphalt Compaction Analyzer 

    Source: Journal of Construction Engineering and Management:;2012:;Volume ( 138 ):;issue: 002
    Author(s): Fares Beainy; Sesh Commuri; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: Adequate compaction of asphalt pavements during their construction is essential to the long-term performance of the pavement. Current quality control techniques determine the quality at a limited number of points and are ...
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    Neural Network–Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes 

    Source: Journal of Construction Engineering and Management:;2011:;Volume ( 137 ):;issue: 009
    Author(s): Sesh Commuri; Anh T. Mai; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: Continuous real-time estimating of compaction quality during the construction of a hot mix asphalt (HMA) pavement is addressed in this paper. The densification of asphalt pavements during construction usually is accomplished ...
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    Influence of Tensile Strain at Failure on Flexural Properties of a Cementitiously Stabilized Subgrade Soil 

    Source: International Journal of Geomechanics:;2017:;Volume ( 017 ):;issue: 002
    Author(s): Moeen Nazari; Rouzbeh Ghabchi; Musharraf Zaman; Sesh Commuri
    Publisher: American Society of Civil Engineers
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