The present study stems from the realization that the general problem relating to the analysis of wind-induced vibrations in suspension bridges still requires significant attention. Sidewalk railings, overhaul tracks, and deflectors are known to largely affect such dynamics. Here, the influence of a row of water-filled traffic barriers on the response of a sample suspension bridge is investigated numerically. It is shown that the existence of water barriers causes flow separation and non-negligible vortices with respect to the condition with no water barriers. The vortex shedding frequency at the far end is around 41.30 Hz, relatively close to the real vibration frequency. It is also shown how different incoming angles of attack can change the flow field around the bridge cross-section and the vortex detachment frequency.
In recent years, with the advent of the era of big data, China has achieved achievements that other countries cannot achieve in a short period of time in terms of GROSS national product, government fiscal revenue and national budget expenditure. However, poverty cannot be completely eliminated in a short period of time. There are still some people in the stage of poverty in the society, which affects the educational level of their children. The analysis of the relationship between regional poverty and educational level plays a very important role in the targeted deployment of educational resources by the state. Therefore, based on big data analysis technology, this paper conducts an in-depth study on the relationship between regional poverty interest rate and education level. In this paper, the Apriori algorithm of data mining algorithm is used to build a correlation model between poverty rate and education level, and gradually discover frequent project sets by increasing the number of elements in the project set. This article through the questionnaire survey method for the analysis of the data, after analyzing the data by using the model can be concluded that the education level and economic levels were positively correlated, the higher economic level, the higher the level of education, therefore, to conclude, to the poor areas should increase the investment of education resources, efforts to improve education popularity, realize the well-off society.
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