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    Difference between In Situ Flexible Pavement Measured and Calculated Stresses and Strains 

    Source: Journal of Transportation Engineering, Part A: Systems:;2006:;Volume ( 132 ):;issue: 007
    Author(s): Amara Loulizi; Imad L. Al-Qadi; Mostafa Elseifi
    Publisher: American Society of Civil Engineers
    Abstract: One of the 12 instrumented sections of the Virginia Smart Road was used to compare measured vertical compressive stress and measured transverse horizontal strain under the hot-mix asphalt (HMA) layer induced by a 25.8 kN ...
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    Effect of Pavement Responses on Fatigue Cracking and Cement-Treated Reflective Cracking Failure Mechanisms 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 004:;page 04021056-1
    Author(s): Nirmal Dhakal; Mostafa Elseifi; Imad L. Al-Qadi; Tyson Rupnow
    Publisher: ASCE
    Abstract: Mechanisms of flexible pavement fatigue cracking and reflective cracking from a cement-treated base (CTB) layer were investigated. 3D finite-element (FE) models were developed to simulate typical pavement structures for ...
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    Performance and Cost-Effectiveness of Sustainable Technologies in Flexible Pavements Using the Mechanistic-Empirical Pavement Design Guide 

    Source: Journal of Materials in Civil Engineering:;2012:;Volume ( 024 ):;issue: 002
    Author(s): Samuel B. Cooper III; Mostafa Elseifi; Louay N. Mohammad; Marwa Hassan
    Publisher: American Society of Civil Engineers
    Abstract: Past studies evaluated the mechanistic properties, economic benefits, and ecological impacts of sustainable asphalt mixtures. However, questions remain concerning the effects of these technologies on structural pavement ...
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    Levels of Variability in Volumetric and Mechanical Properties of Asphalt Mixtures 

    Source: Journal of Materials in Civil Engineering:;2013:;Volume ( 025 ):;issue: 010
    Author(s): Louay N. Mohammad; Mostafa Elseifi; Samuel B. Cooper III; Amar Raghavendra
    Publisher: American Society of Civil Engineers
    Abstract: The objective of this study was to quantify the levels and sources of variability in the measurements of volumetric and mechanical properties of dense-graded asphalt mixtures on the basis of existing test data from state ...
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    Development of a Deep Convolutional Neural Network for the Prediction of Pavement Roughness from 3D Images 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 004:;page 04021048-1
    Author(s): Hossam Abohamer; Mostafa Elseifi; Nirmal Dhakal; Zhongjie Zhang; Christophe N. Fillastre
    Publisher: ASCE
    Abstract: Current roughness prediction models require extensive input data including pavement distress, climatic, and traffic data, which may be difficult to collect. In addition, these models have geographical limitations; therefore, ...
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