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    Onsite Identification of Moving Vehicle Loads on Multispan Continuous Bridge Using Both Dictionary Expansion and Sparse Regularization 

    Source: Journal of Aerospace Engineering:;2021:;Volume ( 034 ):;issue: 003:;page 04021018-1
    Author(s): Huanlin Liu; Cheng Li; Ling Yu; Yafei Wang; Jiwei Zhong
    Publisher: ASCE
    Abstract: Moving force identification (MFI) plays an important role in monitoring moving vehicle loads acting on a bridge, which has attracted great attention in recent years. Although many MFI methods have been proposed, their ...
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    Analysis and Verification of an Optimal Design Solution for Rubble Mound Breakwaters Considering Interactions of Failure Modes 

    Source: Journal of Waterway, Port, Coastal, and Ocean Engineering:;2020:;Volume ( 146 ):;issue: 002
    Author(s): Yunce Zhang; Zongmin Liu; Yafei Wang; Changguo Wang
    Publisher: ASCE
    Abstract: As an essential coastal structure, a breakwater is generally designed to be stable and reliable during its lifetime. With respect to stability, failure modes usually are statistically independent. However, the interaction ...
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    Characterization and Modeling of the Ultraviolet Aging Behavior of Asphalt Exposed to Laboratory and Outdoor Aging 

    Source: Journal of Materials in Civil Engineering:;2025:;Volume ( 037 ):;issue: 007:;page 04025218-1
    Author(s): Yanqiu Bi; Yafei Wang; Zixuan Chen; Xiaoling Zou; Bin Li; Junfeng Gao; Qun Li
    Publisher: American Society of Civil Engineers
    Abstract: Ultraviolet (UV) radiation is an important factor that causes the aging of asphalt binders, leading to significant changes in their high- and low-temperature performances and making asphalt pavements more susceptible to ...
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    Pixel-Level Detection of Cracks Based on Loop Semantic Diffusion Integration 

    Source: Journal of Computing in Civil Engineering:;2025:;Volume ( 039 ):;issue: 004:;page 04025049-1
    Author(s): Guoan Gan; Xinyi Xu; Yue Ding; Allen A. Zhang; Zishuo Dong; Hang Zhang; Anzheng He; Yafei Wang; Heming Sun
    Publisher: American Society of Civil Engineers
    Abstract: Precise crack identification on intricate asphalt pavements poses a significant challenge for intelligent pavement distress detection. This paper proposes the CellNet, a deep learning model designed to offer an effective ...
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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian