DESIGNING AND DETAILING OF BUILDING SYSTEMS. MECHANICS IN CIVIL ENGINEERING

MODELING OF THE SNOW LOAD ON THE ROOFS OF INDUSTRIAL BUILDINGS

Vestnik MGSU 8/2016
  • Zolina Tat’yana Vladimirovna - State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU") Candidate of Technical Sciences, Professor, First Vice-rector, State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU"), 18 Tatishcheva str., Astrakhan, 414000, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Sadchikov Pavel Nikolaevich - State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU") Candidate of Technical Sciences, Associate Professor, Department of Automated Design and Modeling Systems, State Autonomous Educational Institution of the Astrakhan area of higher education "Astrakhan State Architectural and Construction University" (JSC GAOU VPO "AGASU"), 18 Tatishcheva str., Astrakhan, 414000, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 25-33

When designing load-bearing framework structures using the method of limiting states it is necessary to determine the maximum possible value of snow load for the entire period of operation of an industrial building for the possibility of transition. The magnitude of the snow load is randomly changed over the time, and therefore the most appropriate form of its display is a probabilistic model of random process. The authors have identified the most preferable approach to modeling of snow load. It consists in presenting a selective sequence of the year maximums in the form of a continuous random variable distributed according to the Gumbel law. Its parameters are expressed through the mathematical expectation and the standard sample set of meteorological observations. According to the calculated values of the parameters the authors have built a graphic interpretation of the law of distribution of this random variable. When building a model of the total snow load on the roof of a building the influence of various factors should be considered, such as: • snow shedding at a given roof slope; • snow movement caused by wind; • distribution of snow depending on the roof shape; • snow melting depending on the thermal characteristics of the roof; • the ability to drain meltwater from the surface of the roof. The resulting model of snow load is adapted for implementation using software complex “DINCIB-new” developed by the authors. The proposed approach to the modeling of the snow load on the roof of an industrial building allows correlating the repeatability period of its limit calculated value with the residual life of the research object. This has become possible due to the multiple implementation of an automated algorithm for calculating an industrial building, which was developed by the authors, with account of the varying values of snow load in relation to the corresponding mathematical expectation, with registering the quantities of other components of the generalized load.

DOI: 10.22227/1997-0935.2016.8.25-33

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