Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow

Short-term forecasting of passenger flow is critical for transit management and crowd regulation. Spatial dependencies, temporal dependencies, inter-station correlations driven by other latent factors, and exogenous factors bring challenges to the short-term forecasts of passenger flow of urban rail transit networks. An innovative deep...

Development of an Integrated Analytical Model to Predict the Wet Collapse Pressure of Flexible Risers

A flexible riser is a multi-layered pipe device which enables deep-water production by connecting seabed facilities to floating vessels. To withstand huge hydro-static pressure, it is required to have strong collapse capacities. At present, the collapse capacity of a flexible riser is designed based on a "wet collapse'' concept, in which the...

Damage accumulation analysis of cfrp cross-ply laminates under different tensile loading rates

This paper investigates the loading rate effect on both mechanical properties and damage accumulation process of [0°2/90°4]S carbon fiber-polymer laminates under tensile loading. In-situ edge observations, Acoustic Emission and Digital Image Correlation techniques were utilized simultaneously to monitor the state of damage in real time. Results...