https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0022050700014601

China's First Modern Corporation and the State: Officials, Merchants, and Resource Allocation in the China Merchants' Steam Navigation Company, 1872–1902

Atmospheric icing measurement and online ice type recognition for aircraft utilizing optical fiber sensor and machine learning algorithms

Transmitting traditional music for sustainability has been a common theme in global music education. Recently, the school systems of Hong Kong and Guangdong have been encouraged by governmental aut...

Transmission of Cantonese opera in school music education: a survey of Hong Kong and Guangdong music teachers for policy review

The dynamic response of high-speed trains under meteorological hazards concerns operation safety and serviceability. This paper investigates the dynamic response of high-speed train-track-bridge coupled system subject to combined wind and snow. A numerical model integrating a computational fluid dynamics model and a multi-body dynamics model was established to predict the dynamic response of the couple system. The computational fluid dynamics model was used to analyze the aerodynamic loads applied to the coupled systems. The multi-body dynamics model was used to analyze the dynamic response of the coupled system under the aerodynamic loads. The effects of train speed, wind speed, and snow depth on the dynamic response were evaluated. A law was formulated to specify the speed limits for safe operation of high-speed trains. The results showed that combining wind and snow aggravated the dynamic response of high-speed trains via altering the aerodynamic loads applied to the coupled system. This research will promote practical operation and management of high-speed trains. 

Dynamic response of high-speed train-track-bridge coupled system under combined wind and snow

On the low temperature tribological behaviour of brake block materials for railway applications under dry and icy conditions

Investigation of ice and snow accumulations on the bogie areas of high-speed trains using ice wind tunnel experiments

Recent Chinese Historiography on the Western Affairs Movement: Yangwu yundong, ca. 1860-1895

Under the goal of “dual carbon”, distribution grid is the basic platform serving the country to achieve carbon peak and carbon neutral goals, and spatial load prediction is of great significance to the planning and construction of distribution grid. To improve the accuracy of the spatial load prediction of the distribution grid, this paper proposes an algorithm based on the ELM (Extreme Learning Machine), using the parameters of the particle group optimization model. Through the simulation experiment of the searched data, the relative error of the FCM algorithm, the PSO optimization algorithm has high accuracy and meets the requirements of practical engineering.

Chen Jiang

Papers

Investigation of ice and snow accumulations on the bogie areas of high-speed trains using ice wind tunnel experiments

Recent Chinese Historiography on the Western Affairs Movement: Yangwu yundong, ca. 1860-1895

Spatial Load Prediction of Urban Distribution Grid under the Low-carbon Concept