Short-Term Strong Wind Risk Prediction for High-Speed Railway

2021 ◽  
pp. 1-13
Author(s):  
Haoyu Liu ◽  
Chen Liu ◽  
Shibo He ◽  
Jiming Chen
Keyword(s):  
Risk Prediction ◽  
High Speed ◽  
Strong Wind ◽  
Short Term ◽  
High Speed Railway

Predicting the Performance of High-Speed Railway Bridge Using Regression Neural Network Approach

2017 ◽  
Vol 873 ◽  
pp. 220-224 ◽  
Author(s):  
Young Chan Kim ◽  
Mosbeh R. Kaloop ◽  
Jong Wan Hu
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
High Speed ◽  
Short Term ◽  
Good Tool ◽  
Neural Network Approach ◽  
High Speed Railway ◽  
Railway Bridges ◽  
Bridge Girder ◽  
Artificial Neural Network Ann

The performance prediction of High-speed railway bridges (HSRB) is vital to detect the behavior of bridges under different train’s speeds. This study aims to design a prediction model using the artificial neural network (ANN) to assess the performance of Yonjung high-speed bridge. A short-term health monitoring system is used to collect the behavior of bridge with different high-speed train’s speeds. The statistical analysis is utilized to evaluate the bridge under speeds 165 to 403 Km/h. The evaluation of bridge and prediction model showing that the bridge is safe, and the ANN is shown a good tool can be used to estimate a prediction model for the displacement of bridge girder.

Optimization of Bridge Windbreak on High-Speed Railway through Strong Wind Area

2012 ◽  
Vol 452-453 ◽  
pp. 1518-1521 ◽  
Author(s):  
Ling Ling Zhou ◽  
Xi Feng Liang ◽  
Ming Zhi Yang ◽  
Sha Huang
Keyword(s):  
Protective Effect ◽  
Wind Velocity ◽  
High Speed ◽  
Wind Load ◽  
Aerodynamic Load ◽  
Strong Wind ◽  
High Speed Railway ◽  
Overturning Moment ◽  
Catenary System ◽  
Self Gravity

Based on 3-d, uncompressible onflow model with steady N-S equation and the k-epsilon double equation, aerodymic characteristics of EMU and windbreaks on bridge under cross wind were studied numerically, the results show: (1) compared to no windbreak, EMU overturning moment was decreased 50% by setting general windbreak , 75% by setting ventilated windbreak; ventilated windbreak’s protective effect on train and pantograph-catenary system is better especially when H≥2.5m ; (2) aerodynamic load on ventilated windbreak is far lower than general windbreak; (3)the higher cross-wind velocity is, the more aerodynamic load decreased when setting ventilated windbreak. Besides, ventilated windbreak’s leak form could significantly reduce bridge’s self gravity and wind load, improve wind break ability and EMU operation safety.

Optimization of Bridge Windbreak on High-Speed Railway through Strong Wind Area

2012 ◽  
Vol 452-453 ◽  
pp. 1518-1521
Author(s):  
Ling Ling Zhou ◽  
Xi Feng Liang ◽  
Ming Zhi Yang ◽  
Sha Huang
Keyword(s):  
High Speed ◽  
Strong Wind ◽  
High Speed Railway

scholarly journals Forecasting the Short-Term Passenger Flow on High-Speed Railway with Neural Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Mei-Quan Xie ◽  
Xia-Miao Li ◽  
Wen-Liang Zhou ◽  
Yan-Bing Fu
Keyword(s):  
Neural Network ◽  
High Speed ◽  
Estimation Method ◽  
Transportation Systems ◽  
Divide And Conquer ◽  
Short Term ◽  
High Speed Railway ◽  
Matrix Estimation ◽  
Passenger Flow ◽  
Railway System

Short-term passenger flow forecasting is an important component of transportation systems. The forecasting result can be applied to support transportation system operation and management such as operation planning and revenue management. In this paper, a divide-and-conquer method based on neural network and origin-destination (OD) matrix estimation is developed to forecast the short-term passenger flow in high-speed railway system. There are three steps in the forecasting method. Firstly, the numbers of passengers who arrive at each station or depart from each station are obtained from historical passenger flow data, which are OD matrices in this paper. Secondly, short-term passenger flow forecasting of the numbers of passengers who arrive at each station or depart from each station based on neural network is realized. At last, the OD matrices in short-term time are obtained with an OD matrix estimation method. The experimental results indicate that the proposed divide-and-conquer method performs well in forecasting the short-term passenger flow on high-speed railway.

Experimental investigation of the protective effect of wind barriers on high-speed railway bridge in inland strong wind area

2019 ◽  
Vol 22 (15) ◽  
pp. 3306-3318
Author(s):  
Wanmin Ren ◽  
Qingsong Duan ◽  
Cunming Ma ◽  
Haili Liao ◽  
Qiusheng Li
Keyword(s):  
Experimental Investigation ◽  
Protective Effect ◽  
High Speed ◽  
Aerodynamic Characteristics ◽  
Strong Wind ◽  
Railway Bridge ◽  
Box Girder ◽  
High Speed Railway ◽  
Wind Barrier ◽  
Better Than

This study aims to investigate the wind protective effect of wind barriers on the Lanzhou–Xinjiang high-speed railway using wind tunnel tests. Wind barriers with different heights and porosities were analyzed. Two girders, that is, a box-girder and a trough-girder, each with 1:30 and 1:8 scales were experimentally investigated. The results suggest that the protective effect of the wind barrier with a height of 4 m and porosity of 20% is better than the others. The influence of wind barriers on the aerodynamic characteristics of train vehicles and girders must be analyzed simultaneously. The aerostatic force coefficients of trains are approximately the same at different scales, and the Reynolds number effect could be neglected.

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