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    Surface-Roughness-Induced Control of the Interfacial Failure Mode and Bonding Strength: Atomistic Case Study in an Asphalt–Aggregate System 

    Source: Journal of Materials in Civil Engineering:;2022:;Volume ( 034 ):;issue: 012:;page 04022334
    Author(s): Zhao Du; Xingyi Zhu
    Publisher: ASCE
    Abstract: The surface roughness prior to adhesive bonding plays an important role in enhancing the durability of composite materials. To obtain deep insight into the effect of aggregate surface roughness on the interfacial properties ...
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    Failure of the Asphalt–Aggregate Interface under Tensile Stress: Insight from Molecular Dynamics 

    Source: Journal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 003:;page 04021008-1
    Author(s): Zhao Du; Xingyi Zhu; Feng Li; Siqi Zhou; Ziwei Dai
    Publisher: ASCE
    Abstract: Interfacial strength between asphalt binder and aggregate plays a vital role in maintaining the mechanical integrity of asphalt mixture. Given the lack of accurate testing instruments for the interaction of asphalt–aggregate ...
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    Diffusive Dynamics and Structural Organization of Moisture in Asphaltic Materials Based on Molecular Dynamics Simulation 

    Source: Journal of Materials in Civil Engineering:;2021:;Volume ( 033 ):;issue: 001:;page 04020403
    Author(s): Zhao Du; Xingyi Zhu; Yuqing Zhang
    Publisher: ASCE
    Abstract: Understanding the diffusion of moisture in asphaltic materials is crucial because it yields key insights into the moisture-induced damages of asphalt pavement. In this work, the molecular dynamics simulation technique was ...
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    Short-Term Traffic Flow Forecasting Based on Combination of K-Nearest Neighbor and Support Vector Regression 

    Source: Journal of Highway and Transportation Research and Development (English Edition):;2018:;Volume ( 012 ):;issue: 001
    Author(s): Liu Zhao;Du Wei;Yan Dong-mei;Chai Gan;Guo Jian-hua
    Publisher: American Society of Civil Engineers
    Abstract: To improve the forecasting accuracy of short-term traffic flow and provide precise and reliable traffic information for traffic management units and travelers, this study proposes a hybrid prediction model that is based ...
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