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Research Journal of Applied Sciences

ISSN: Online 1993-6079
ISSN: Print 1815-932x
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Mathematical Modeling of Radiation Background Plants Construction Materials Industry Enterprises

Rinat Rashidovich Sharapov, Vladimir Yurievich Radoutsky, Julia Vladimirivna Vetrov, Vitaly Vladimirovich Shaptala and Vladimir Grigorievich Shaptala
Page: 1216-1220 | Received 21 Sep 2022, Published online: 21 Sep 2022

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https://doi.org/10.36478/rjasci.2014.1216.1220

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Abstract

Background radiation shops enterprises of building materials plays a significant role in the irradiation of their employees. The main source of air pollution radon shops is the allocation of radon in the processing of mineral raw materials in them. The main means of dealing with radon is ventilation. For its calculation at the design stage it is necessary to know the radon release rate being in the shop with bulk material. One of the factors determining the ability of the bulk material emanating is its specific surface area. To refine his prediction is proposed to consider the distribution of grains in the material not only by their equivalent size but also in shape. Proposed a method for the mathematical description of the form of grains of the bulk material which is obtained by using a refined formula for determining its specific surface area. The dependence of the radon exhalation rate from the grain shape of the bulk material. On the basis of a formula dependencies to more accurately determine the amount of radioactivity released the bulk material. Formulas for predicting the average radon concentration and ventilation performance management sufficient to maintain the concentration of radon activity at the recommended level.

How to cite this article:

Rinat Rashidovich Sharapov, Vladimir Yurievich Radoutsky, Julia Vladimirivna Vetrov, Vitaly Vladimirovich Shaptala and Vladimir Grigorievich Shaptala. Mathematical Modeling of Radiation Background Plants Construction Materials Industry Enterprises.
DOI: https://doi.org/10.36478/rjasci.2014.1216.1220
URL: https://www.makhillpublications.co/view-article/1815-932x/rjasci.2014.1216.1220