Forecasting Water Saturation of Fill Grounds in Urban Infrastructure Conditions by Mathematical Modeling Based on the Main Hydrophysical Characteristic

Anna Chelovechkova (), Irina Komissarova () and Dmitry Eremin ()
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Anna Chelovechkova: Department of Information Security of Automated Systems FSBEI of HE Kurgan State University Kurgan Russian Federation, Postal: RU
Irina Komissarova: Department of land Management Agriculture Agrochemistry and Soil Science FSBEI of HE Kurgan State Agricultural Academy named after T S Maltsev Lesnikovo Russian Federation, Postal: RU
Dmitry Eremin: Department of Soil Science and Agrochemistry Agrotechnological Institute FSBEI of HE Northern Trans Ural State Agricultural University Tyumen Russian Federation, Postal: RU

Journal of Advanced Research in Management, 2018, vol. 9, issue 3, 485-490

Abstract: A technique is proposed for forecasting water saturation of fill and undisturbed grounds used in construction when making a foundation Dependencies are established between the content of individual granulometric fractions of grounds and their physico mechanical properties Reliable regression equations are obtained which formed the basis of a mathematical model for predicting the water saturation of grounds A software product has been developed the work of which was tested using the example of the basic hydro physical characteristics of the grounds differing in their properties black earth and salt earth The results obtained reliably prove the possibility of using the model and software product in a wide range of granulometric composition values and physical and mechanical properties of grounds

Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:srs:jemt00:v:9:y:2018:i:3:p:485-490

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