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    Heuristic Principles to Predict the Effect of Crumb Rubber Gradation on Asphalt Binder Rutting Performance 

    Source: Journal of Materials in Civil Engineering:;2017:;Volume ( 029 ):;issue: 008
    Author(s): Veena Venudharan; Krishna Prapoorna Biligiri
    Publisher: American Society of Civil Engineers
    Abstract: The objective of this study was to employ an artificial neural network (ANN) to predict asphalt-rubber (AR) rutting performance characteristics using binder properties, crumb rubber (CR) gradations, and mechanical test ...
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    Predictive Models for Storage Modulus and Loss Modulus of Asphalt Mixtures 

    Source: Journal of Materials in Civil Engineering:;2016:;Volume ( 028 ):;issue: 007
    Author(s): Veena Venudharan; Anush K. Chandrappa; Krishna P. Biligiri; Kamil E. Kaloush
    Publisher: American Society of Civil Engineers
    Abstract: Complex modulus of an asphalt mixture constitutes two components:
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    Predictive Models for Storage Modulus and Loss Modulus of Asphalt Mixtures 

    Source: Journal of Materials in Civil Engineering:;2016:;Volume ( 028 ):;issue: 007
    Author(s): Veena Venudharan; Anush K. Chandrappa; Krishna P. Biligiri; Kamil E. Kaloush
    Publisher: American Society of Civil Engineers
    Abstract: Complex modulus of an asphalt mixture constitutes two components: E′ representing the ability of the mixture to store energy (elastic behavior), and E′′ reflecting the capacity of the material to dissipate energy (viscous ...
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