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    Special Issue on Geomechanics Applications in Natural Disaster Mitigation 

    Source: International Journal of Geomechanics:;2016:;Volume ( 016 ):;issue: 005
    Author(s): Kiichi Suzuki; Musharraf Zaman
    Publisher: American Society of Civil Engineers
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    Sensitivity of Oklahoma Binders on Dynamic Modulus of Asphalt Mixes and Distress Functions 

    Source: Journal of Materials in Civil Engineering:;2012:;Volume ( 024 ):;issue: 008
    Author(s): Zahid Hossain; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: For designing pavements many state agencies, including those in Oklahoma, use the 1993 AASHTO Guide for Design of Pavement Structures, which is empirical in nature. However, the Mechanistic-Empirical Pavement Design Guide ...
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    Behavior of Stabilized Subgrade Soils under Indirect Tension and Flexure 

    Source: Journal of Materials in Civil Engineering:;2014:;Volume ( 026 ):;issue: 005
    Author(s): Pranshoo Solanki; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: A laboratory study was undertaken to evaluate the influence of three cementitious additives on the indirect tensile and fatigue behavior of two subgrade soils. Hydrated lime (or lime), class C fly ash (CFA), and cement ...
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    Surface Subsidence Prediction by Nonlinear Finite‐Element Analysis 

    Source: Journal of Geotechnical Engineering:;1993:;Volume ( 119 ):;issue: 011
    Author(s): Yacoub Najjar; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: An improved two‐dimensional plane‐strain numerical procedure based on the incremental‐iterative nonlinear finite‐element method is developed to predict ground subsidence caused by underground mining. The procedure emphasizes ...
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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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    Contact-Element Model for Dynamic Analysis of Jointed Concrete Pavements 

    Source: Journal of Transportation Engineering, Part A: Systems:;1995:;Volume ( 121 ):;issue: 005
    Author(s): Musharraf Zaman; Arumugam Alvappillai
    Publisher: American Society of Civil Engineers
    Abstract: A finite-element algorithm is developed to analyze the dynamic response of multiple, jointed concrete pavements to moving aircraft loads. In the finite-element idealization, the pavement-subgrade system is idealized by ...
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    Erratum: 

    Source: Journal of Geotechnical Engineering:;1994:;Volume ( 120 ):;issue: 001
    Author(s): Yacoub Najjar; Musharraf Zaman
    Publisher: American Society of Civil Engineers
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    Discussion of “Resilient Modulus of Cohesive Soils” by Woojin Lee, N. C. Bohra, A. G. Altschaeffl, and T. D. White 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;1998:;Volume ( 124 ):;issue: 011
    Author(s): Jian-Hua Zhu; Musharraf Zaman
    Publisher: American Society of Civil Engineers
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    Analysis of Emulsion and Hot Asphalt Cement Chip Seal Performance 

    Source: Journal of Transportation Engineering, Part A: Systems:;2005:;Volume ( 131 ):;issue: 003
    Author(s): Douglas D. Gransberg; Musharraf Zaman
    Publisher: American Society of Civil Engineers
    Abstract: The study collected both design and performance data on 342 chip seal projects worth nearly $30 million that had been completed in the Texas Department of Transportation’s Atlanta District since 1996. One hundred sixty ...
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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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