Keywords
laboratory engineering and geological surveys, project documentation, soil properties, physical characteristics, statistical processing, reconnaissance survey, drilling, soil sampling, sounding, field stage, laboratory stage, Desk processing.
How to Cite
Lipatova, E. ., Basik, D. ., Petrova, K. ., Makeeva, E. ., Sergeevna Gorelysheva, N. ., Alecksandrovich Seroshtan, D. ., & Viktorovna Goncharova, E. . (2020). ABOUT ENGINEERING AND GEOLOGICAL SURVEYS OF SOIL PROPERTIES IN THE CONSTRUCTION OF APARTMENT BUILDINGS. Revista Gênero E Interdisciplinaridade, 1(01). https://doi.org/10.51249/gei.v1i01.69
Abstract
Engineering and geological surveys are summative concepts, the essence of which is to conduct a study of the geological properties of the soil on the territory of the construction site. The main goal is to obtain all the necessary materials to fully justify the possibility of designing and building any object on the selected territory. This study describes engineering and geological surveys of soil properties for the preparation of project documentation for the construction of an apartment building at the address Kirov region, Vyatskopolyansky district, village. Krasnaya Polyana, Druzhba str., 1. Statistical processing of physical characteristics of the studied soils, as well as indicators of physical and mechanical properties of soils are presented.
References
“Urban Planning Code of the Russian Federation” dated December 29, 2004 N 190-FL (as amended on August 2, 2019) (as amended and supplemented, entered into force on August 13, 2019) // “Rossiyskaya Gazeta”, No. 290 12/30/2004
GOST 30416-96 Soils. Laboratory tests. General Provisions // Tekhekspert
GOST 5180-84 Soils. Methods of laboratory determination of physical characteristics // "Tekhekspert"
GOST 25100-2011 “Soils. Classification "// ATP" Tekhekspert "
GOST 20522-2012 "Soils. Methods of statistical processing of test results "// "Tekhekspert"
"GOST 19912-2012. Interstate standard. Soils. Methods of field tests by static and dynamic sounding ”(entered into force by the Order of Rosstandart dated December 27, 2012 N 2005-ст) (as amended on April 18, 2019) //“Tekhekspert ”
"SR 47.13330.2016. Set of rules. Engineering examinations for construction. The main provisions. Updated edition of SNiP 11-02-96 ”(approved and put into effect by the Order of the Ministry of Construction of Russia dated 12.30.2016 N 1033 / pr) // “ Tekhekspert ”
"SR 317.1325800.2017. Set of rules. Geodetic engineering examinations for construction. General rules for the production of works ”(approved and put into effect by Order of the Ministry of Construction of Russia dated December 22, 2017 N 1702 / pr) // “Tekhekspert ”
“SR 22.13330.2011. Set of rules. Foundations of buildings and structures. Updated version of SNiP 2.02.01-83 * "(approved by Order of the Ministry of Regional Development of the Russian Federation of December 28, 2010 N 823) // " Tekhekspert "
“SR 47.13330.2012. Set of rules. Engineering examinations for construction. The main provisions. The updated edition of SNiP 11-02-96 ”(approved by the Order of the Gosstroy of Russia dated 10.12.2012 N 83 / GS) // Tekhekspert
"SR 11-105-97. Engineering and geological examinations for construction. Part I. General rules for the performance of work ”(approved by the Letter of the Gosstroy of Russia of 10/14/1997 N 9-4 / 116) // “Tekhekspert ”
State itemized cost estimate standards 81-02-01-2017. State estimated standards. State estimated norms. State elemental estimated norms for construction and special construction works. Collection 1. Earthwork ”(approved and introduced by Order of the Ministry of Construction of Russia dated 12.30.2016 N 1038 / pr) // “ Tekhekspert ”
Rahman, P. A., Panchenko, A. A., & Safarov, A. M. (2017). Using neural networks for prediction of air pollution index in industrial city. IOP Conference Series: Earth and Environmental Science, 87(4). https://doi.org/10.1088/1755-1315/87/4/042016
Avdeev, Y. M., Gorovoy, S. A., Karpenko, E., Kudryavtsev, V., & Kozlovsky, L. (2020). Evaluation of the state of green plants under the conditions of urbanization. [Avaliação do estado das plantas verdes sob as condições de urbanização] Periodico Tche Quimica, 17(34), 966-975.
Yemelyanov, V., Tochilkina, T., Vasilieva, E., Nedelkin, A., & Shved, E. (2018). Computer diagnostics of the torpedo ladle cars. Paper presented at the AIP Conference Proceedings, 2034 doi:10.1063/1.5067351
Rahman, P. A. (2018). Analysis of stationary availability factor of two-level backbone computer networks with arbitrary topology. Journal of Physics: Conference Series, 1015(2). https://doi.org/10.1088/1742-6596/1015/2/022016
Yemelyanov, V. A., Yemelyanova, N. Y., Nedelkin, A. A., & Zarudnaya, M. V. (2018). Neural network to diagnose lining condition. Paper presented at the IOP Conference Series: Materials Science and Engineering, , 327(2) doi:10.1088/1757-899X/327/2/022107
GOST 30416-96 Soils. Laboratory tests. General Provisions // Tekhekspert
GOST 5180-84 Soils. Methods of laboratory determination of physical characteristics // "Tekhekspert"
GOST 25100-2011 “Soils. Classification "// ATP" Tekhekspert "
GOST 20522-2012 "Soils. Methods of statistical processing of test results "// "Tekhekspert"
"GOST 19912-2012. Interstate standard. Soils. Methods of field tests by static and dynamic sounding ”(entered into force by the Order of Rosstandart dated December 27, 2012 N 2005-ст) (as amended on April 18, 2019) //“Tekhekspert ”
"SR 47.13330.2016. Set of rules. Engineering examinations for construction. The main provisions. Updated edition of SNiP 11-02-96 ”(approved and put into effect by the Order of the Ministry of Construction of Russia dated 12.30.2016 N 1033 / pr) // “ Tekhekspert ”
"SR 317.1325800.2017. Set of rules. Geodetic engineering examinations for construction. General rules for the production of works ”(approved and put into effect by Order of the Ministry of Construction of Russia dated December 22, 2017 N 1702 / pr) // “Tekhekspert ”
“SR 22.13330.2011. Set of rules. Foundations of buildings and structures. Updated version of SNiP 2.02.01-83 * "(approved by Order of the Ministry of Regional Development of the Russian Federation of December 28, 2010 N 823) // " Tekhekspert "
“SR 47.13330.2012. Set of rules. Engineering examinations for construction. The main provisions. The updated edition of SNiP 11-02-96 ”(approved by the Order of the Gosstroy of Russia dated 10.12.2012 N 83 / GS) // Tekhekspert
"SR 11-105-97. Engineering and geological examinations for construction. Part I. General rules for the performance of work ”(approved by the Letter of the Gosstroy of Russia of 10/14/1997 N 9-4 / 116) // “Tekhekspert ”
State itemized cost estimate standards 81-02-01-2017. State estimated standards. State estimated norms. State elemental estimated norms for construction and special construction works. Collection 1. Earthwork ”(approved and introduced by Order of the Ministry of Construction of Russia dated 12.30.2016 N 1038 / pr) // “ Tekhekspert ”
Rahman, P. A., Panchenko, A. A., & Safarov, A. M. (2017). Using neural networks for prediction of air pollution index in industrial city. IOP Conference Series: Earth and Environmental Science, 87(4). https://doi.org/10.1088/1755-1315/87/4/042016
Avdeev, Y. M., Gorovoy, S. A., Karpenko, E., Kudryavtsev, V., & Kozlovsky, L. (2020). Evaluation of the state of green plants under the conditions of urbanization. [Avaliação do estado das plantas verdes sob as condições de urbanização] Periodico Tche Quimica, 17(34), 966-975.
Yemelyanov, V., Tochilkina, T., Vasilieva, E., Nedelkin, A., & Shved, E. (2018). Computer diagnostics of the torpedo ladle cars. Paper presented at the AIP Conference Proceedings, 2034 doi:10.1063/1.5067351
Rahman, P. A. (2018). Analysis of stationary availability factor of two-level backbone computer networks with arbitrary topology. Journal of Physics: Conference Series, 1015(2). https://doi.org/10.1088/1742-6596/1015/2/022016
Yemelyanov, V. A., Yemelyanova, N. Y., Nedelkin, A. A., & Zarudnaya, M. V. (2018). Neural network to diagnose lining condition. Paper presented at the IOP Conference Series: Materials Science and Engineering, , 327(2) doi:10.1088/1757-899X/327/2/022107
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