Abstract: A novel deep learning method based on the two-dimensional convolutional neural network (2D-CNN) was proposed to predict the horizontal and vertical convergences of high-speed railway tunnels considering the spatial variability ...

Abstract: A series of laboratory tests including flow consistency, viscosity, one-dimensional compression, and permeability were conducted on the fiber-reinforced cemented waste slurries obtained from a construction site to evaluate ...