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    Performance and Protection of Base-Isolated Structures under Blast Loading 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 001
    Author(s): Ruiyang Zhang; Brian M. Phillips
    Publisher: American Society of Civil Engineers
    Abstract: Terrorist attacks are a growing threat worldwide. Explosive devices, the weapon of choice for a majority of these attacks, significantly threaten civilian and military personnel. Seismic ground motions are also associated ...
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    Artificial Specimen Damping for Substructure Real-Time Hybrid Simulation 

    Source: Journal of Engineering Mechanics:;2017:;Volume ( 143 ):;issue: 008
    Author(s): Ruiyang Zhang; Brian M. Phillips
    Publisher: American Society of Civil Engineers
    Abstract: Damping plays an important role in structural dynamics by absorbing energy and reducing structural responses. The inherent damping in a building ranges from approximately 2 to 10% critical damping in the first mode; even ...
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    Performance and Protection of Base-Isolated Structures under Blast Loading 

    Source: Journal of Engineering Mechanics:;2016:;Volume ( 142 ):;issue: 001
    Author(s): Ruiyang Zhang; Brian M. Phillips
    Publisher: American Society of Civil Engineers
    Abstract: Terrorist attacks are a growing threat worldwide. Explosive devices, the weapon of choice for a majority of these attacks, significantly threaten civilian and military personnel. Seismic ground motions are also associated ...
    Request PDF

    Spatiotemporal Deep Learning for Bridge Response Forecasting 

    Source: Journal of Structural Engineering:;2021:;Volume ( 147 ):;issue: 006:;page 04021070-1
    Author(s): Ruiyang Zhang; Libo Meng; Zhu Mao; Hao Sun
    Publisher: ASCE
    Abstract: Accurate prediction/forecasting of the future response of civil infrastructure plays an essential role in health monitoring and safety assessment. However, the complex latent dynamics within the field sensing measurements ...
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    A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges 

    Source: Journal of Engineering Mechanics:;2023:;Volume ( 149 ):;issue: 009:;page 04023069-1
    Author(s): Yuchen Liao; Ruiyang Zhang; Gang Wu; Hao Sun
    Publisher: ASCE
    Abstract: Machine learning–based methods, especially deep learning methods, have achieved great success in seismic response modeling due to their exceptional performance in capturing nonlinear features. However, imbalanced features ...
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    Machine Learning Approach for Sequence Clustering with Applications to Ground-Motion Selection 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Ruiyang Zhang; Jerome Hajjar; Hao Sun
    Publisher: ASCE
    Abstract: Clustering analysis of sequential data is of great interest and importance in many science and engineering areas thanks to the explosive growth of time-series data. Effective methods, especially for sequence clustering, ...
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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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