Application of computational modeling to study the parameters of dusty air flows in subway

Abstract

To date, the subway is the most promising type of urban public transport, which is used daily by thousands of passengers in the world. In modern subways, the problem is the content of suspended dust in the air, which exceeds the maximum permissible concentration. Especially dangerous is the dust fraction PM2.5 or less, capable of penetrating through the biological barriers of the human body. This article discusses the results of a number of studies aimed at determining the concentration, fractional and chemical composition of such dust in subway structures. One of the ways to combat dustiness of the air in subways is its filtration. The authors propose the use of filters installed in the jetty ventilation breakdowns, the air flow through which is provided by the piston action of trains. Determination of optimal design and operational parameters of such filters is carried out using computer modeling by the finite volume method. The article provides an overview of the existing computational mathematical models of the movement of dusty air as a multiphase flow, and considers the possibility of their application to the conditions of underground subway structures.