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    Connected Car-Based Pavement Roughness Prediction Using CNN Model and Signal Decomposition Technique 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 006:;page 04025099-1
    Author(s): Shangguan, Lingxiao; Lu, Guoyang; Wu, Zhe; Xu, Zijun; Li, Hanxi
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAccurate pavement roughness assessment is critical for effective pavement management. Connected car data provides a cost-effective way to predict the pavement roughness based on the acceleration data. This paper ...
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    Fatigue and Nonlinear Performance Characterization of Asphalt Mastics: A Combined Approach 

    Source: Journal of Materials in Civil Engineering:;2026:;Volume ( 038 ):;issue: 008:;page 04026249-1
    Author(s): Xu, Jiaqiu; Pan, Fengzijun; Fan, Zepeng; Liu, Junfu; Lu, Guoyang; Wang, Dawei
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAsphalt mastics, composed of a bitumen matrix and fillers, play a vital role in the fatigue failure of asphalt mixtures. However, the mechanisms by which fillers influence the fatigue properties of asphalt mastics ...
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    Investigation into the Mechanical Properties of Self-Leveling Epoxy Asphalt Concrete as a Future Assembly-Oriented Bridge Deck Pavement Material 

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 008:;page 04025229-1
    Author(s): Liu, Gang; Qian, Zhendong; Lu, Guoyang; Chen, Leilei; Ahmed, Wisal; Ng, Shiu Tong Thomas
    Publisher: American Society of Civil Engineers
    Abstract: AbstractTo facilitate the future assembly-oriented development of bridge deck asphalt pavement (BDAP), self-leveling epoxy asphalt concrete (SLEA) is developed as a specialized compaction-free prefabricated material, and ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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