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Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
Publisher: American Society of Civil Engineers
Abstract: Rockburst prediction is of crucial importance to the design and construction of many underground projects. Insufficient knowledge, lack of characterizing information, and noisy data restrain rock mechanics engineers from ...
Classification of Rockburst in Underground Projects: Comparison of Ten Supervised Learning Methods
Publisher: American Society of Civil Engineers
Abstract: Rockburst prediction is of crucial importance to the design and construction of many underground projects. Insufficient knowledge, lack of characterizing information, and noisy data restrain rock mechanics engineers from ...
Finite Element Model for RHS Double Chord K‐Joints
Publisher: American Society of Civil Engineers
Abstract: A finite element elastic‐plastic model for separated double chord gap K‐joints of steel rectangular hollow sections (RHS), is presented. The model treats a single chord member as composed of a plate representing the inner ...
Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel
Publisher: American Society of Civil Engineers
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