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RISAn Efficient Method for Reliability Analysis of High-Speed Railway Tunnel Convergence in Spatially Variable Soil Based on a Deep Convolutional Neural Network
Publisher: ASCE
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 ...
Machine Learning–Based Fault Detection and Diagnosis of Organic Rankine Cycle System for Waste-Heat Recovery
Publisher: ASCE
Abstract: Utilizing the organic Rankine cycle (ORC) for waste heat recovery is an important energy conversion method. Some faults may occur in the ORC in actual operation, but few studies have focused on the fault detection and ...