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SS-XGBoost: A Machine Learning Framework for Predicting Newmark Sliding Displacements of Slopes
Journal of Geotechnical and Geoenvironmental Engineering - ASCE, 2020 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 is involved.
Mao-Xin Wang, Duruo Huang, Gang Wang
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Soil Dynamics and Earthquake Engineering, 2014 Defining the possible scenario of earthquake-induced landslides, Arias Intensity is frequently used as shaking parameter, being considered the most suitable for characterizing earthquake impact, while Newmark's sliding-block model is widely used to ...
Konstantinos Chousianitis +2 more
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International Journal for Numerical and Analytical Methods in Geomechanics, 2021
Jian Ji, Hongzhi Cui, Jian Song
exaly
Jian Ji, Hongzhi Cui, Jian Song
exaly
Nested Newmark model to calculate the post-earthquake profile of slopes
Engineering Geology, 2018Ben Leshchinsky
exaly
Newmark displacement model for landslides induced by the 2013 Ms 7.0 Lushan earthquake, China
Frontiers of Earth Science, 2016Renmao Yuan +2 more
exaly