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    A Simplified Model for Pavement Drainage 

    Source: International Journal of Geomechanics:;2001:;Volume ( 001 ):;issue: 001
    Author(s): Luther White; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: In this paper, we present a simplified model for pavement drainage system. The model accounts for the accumulation and flow of water through a drainable base and edge drain representing a porous medium. There is an inflow ...
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    Neural Network Model for Asphalt Concrete Permeability 

    Source: Journal of Materials in Civil Engineering:;2005:;Volume ( 017 ):;issue: 001
    Author(s): Rafiqul Alam Tarefder; Luther White; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: In this study, a four-layer feed-forward neural network is constructed and applied to determine a mapping associating mix design and testing factors of asphalt concrete samples with their performance in conductance to flow ...
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    Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties 

    Source: International Journal of Geomechanics:;2010:;Volume ( 010 ):;issue: 001
    Author(s): Musharraf Zaman; Pranshoo Solanki; Ali Ebrahimi; Luther White
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural network (ANN) models are developed in this study to correlate resilient modulus with routine properties of subgrade soils and state of stress for pavement design application. A database is developed ...
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    Closure to “Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties” by Musharraf Zaman, Pranshoo Solanki, Ali Ebrahimi, and Luther White 

    Source: International Journal of Geomechanics:;2012:;Volume ( 012 ):;issue: 004
    Author(s): Musharraf Zaman; Pranshoo Solanki; Ali Ebrahimi; Luther White
    Publisher: American Society of Civil Engineers
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