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    Probabilistic Seismic Displacement Hazard Assessment of Earth Slopes Incorporating Spatially Random Soil Parameters 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2021:;Volume ( 147 ):;issue: 011:;page 04021119-1
    Author(s): Mao-Xin Wang; Dian-Qing Li; Wenqi Du
    Publisher: ASCE
    Abstract: Permanent sliding displacement is a parameter that is used widely to evaluate the seismic performance of earthen slopes, and the inherent variability of soil strength parameters is considered simply using a logic tree in ...
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    Semiempirical Predictive Models for Seismically Induced Slope Displacements Considering Ground Motion Directionality 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2024:;Volume ( 150 ):;issue: 009:;page 04024080-1
    Author(s): Mao-Xin Wang; Andy Yat Fai Leung; Gang Wang; Pin Zhang
    Publisher: American Society of Civil Engineers
    Abstract: Conventional semiempirical predictive models for seismically induced slope displacement (D) are generally developed based on as-recorded orthogonal ground motion components. Considering orthogonal records reveals that the ...
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    SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes 

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2020:;Volume ( 146 ):;issue: 009
    Author(s): Mao-Xin Wang; Duruo Huang; Gang Wang; Dian-Qing Li
    Publisher: ASCE
    Abstract: Estimation of Newmark sliding displacement plays an important role for evaluating seismic stability of slopes. Current empirical models generally utilize predefined functional forms and relatively large model uncertainty ...
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    DSpace software copyright © 2002-2015  DuraSpace
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