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    Use of Infrared Thermography to Detect Thermal Segregation in Asphalt Overlay and Reflective Cracking Potential 

    Source: Journal of Materials in Civil Engineering:;2016:;Volume ( 028 ):;issue: 002
    Author(s): Nirmal Dhakal; Mostafa A. Elseifi
    Publisher: American Society of Civil Engineers
    Abstract: The objectives of this study were to assess whether temperature differentials measured using infrared thermography (IRT) occur in an overlay built on top of discontinuities such as joints and cracks and to study the ...
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    Effects of Asphalt-Mixture Characteristics and Vehicle Speed on Fuel-Consumption Excess Using Finite-Element Modeling 

    Source: Journal of Transportation Engineering, Part A: Systems:;2017:;Volume ( 143 ):;issue: 009
    Author(s): Nirmal Dhakal; Mostafa A. Elseifi
    Publisher: American Society of Civil Engineers
    Abstract: The effects of pavement type on fuel consumption have received considerable attention in recent years, yet the influence of asphalt mixes characteristics and vehicle speed on fuel consumption excess has not been evaluated. ...
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    Use of Infrared Thermography to Detect Thermal Segregation in Asphalt Overlay and Reflective Cracking Potential 

    Source: Journal of Materials in Civil Engineering:;2016:;Volume ( 028 ):;issue: 002
    Author(s): Nirmal Dhakal; Mostafa A. Elseifi
    Publisher: American Society of Civil Engineers
    Abstract: The objectives of this study were to assess whether temperature differentials measured using infrared thermography (IRT) occur in an overlay built on top of discontinuities such as joints and cracks and to study the ...
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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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    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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    Surface Identification of Top-Down, Bottom-Up, and Cement-Treated Reflective Cracks Using Convolutional Neural Network and Artificial Neural Networks 

    Source: Journal of Transportation Engineering, Part B: Pavements:;2021:;Volume ( 147 ):;issue: 001:;page 04020080-1
    Author(s): Nirmal Dhakal; Zia U. A. Zihan; Mostafa A. Elseifi; Momen R. Mousa; Kevin Gaspard; Christophe N. Fillastre
    Publisher: ASCE
    Abstract: Transportation agencies often need to differentiate between top-down and bottom-up cracking in the field to set up an effective and targeted schedule and budget for the repair of these cracks. The objective of this study ...
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