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List of products by author: J.-Y. Oh
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Application of Artificial Neural Network for Prediction of Surface Settlement During Shield TBM
Abstract: Surface settlement induced by shield TBM tunnel excavation in shallow soft ground can threaten the stability of adjacent structures in urban areas. Controlling the ground surface settlements occurred during tunneling is one of the key issues for tunneling engineers. Numerous researches for the prediction of surface settlement have been attempted along with analytical, empirical and/or numerical...
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Classification of surface settlement of stacked twin tunnels by machine-learning
Abstract: To ensure the safe operation of tunnel boring machines (TBMs) in urban areas, surface settlements should be monitored at several levels such as the alert, action, and alarm level, to prevent any damage to nearby infrastructures. In this study, the random forest (RF) machine learning model was implemented to predict the surface settlement levels using a database collected from a Hong Kong subway...
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