SAFETY OF BUILDING SYSTEMS. ECOLOGICAL PROBLEMS OF CONSTRUCTION PROJECTS. GEOECOLOGY

PROBABILISTIC-STATISTICAL MODELING OF ANNUAL VARIATION OF OUTSIDE AIR TEMPERATURE AND ITS VALUES IN THE WARM SEASON

Vestnik MGSU 3/2018 Volume 13
  • Samarin Oleg Dmitrievich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Assistant Professor, Assistant Professor, Department of the Heat and Gas Supply and Ventilation, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 378-384

Subject: the ways for obtaining the sets of climate data for simulation of air and thermal regime of the building premises and assessment of its annual energy consumption are considered. It is noted that most modern approaches in this field rely on the concept of a “typical year”, and therefore unsuitable for engineering practice as they require the search, accumulation and selection of a large number of climatic parameter values. Research objectives: generalization of probabilistic approach to obtaining the sets of climatic data for the case of a study of annual variation in the average daily temperature of outdoor air and creation of a set of outdoor temperatures during the warm season (cooling period). Materials and methods: in this work, we used the software generation of climatic data sets by Monte Carlo method using a pseudorandom number generator based on a linear congruence algorithm. The regular seasonal variation of outside temperature is accounted for by using the “floating” mathematical expectation and the standard deviation. A numerical model of non-stationary thermal regime of a ventilated room is implemented based on the solution of a system of differential equations of heat conduction and heat transfer for the surfaces of the room. Results: some results of calculation of the current ambient temperature during the year and in the warm season using Monte Carlo method are presented for climatic conditions of Moscow. We performed comparison of the results of estimation of unsteady thermal regime of a ventilated room when using average daily outside air temperatures during a month obtained from climatic data and from the results of computer simulation. Conclusions: we demonstrated the principal coincidence of the statistical distribution of outside air temperature and temperature variation of the internal air for both compared variants. It is noted that Monte Carlo simulation gives the results that are indistinguishable, from the standpoint of engineering needs, from the use of a “typical year”, and we revealed the possibility of practical implementation of probabilistic-statistical principle of climate data generation for some calculations that concern the systems of air-conditioning and thermal regime of the building. It is proposed to apply the developed methodology for estimation of the annual energy consumption of buildings and for estimation of efficiency of energy and resource saving.

DOI: 10.22227/1997-0935.2018.3.378-384

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Problem of probabilistic calculation of the design on linearly and non-linearly deformable basis with casual parameters

Vestnik MGSU 12/2014
  • Mkrtychev Oleg Vartanovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Doctor of Technical Sciences, head, Scientific Laboratory of Reliability and Seismic Resistance of Structures, Professor, Department of Strength of Materials, Moscow State University of Civil Engineering (National Research University) (MGSU), ; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Dzhinchvelashvili Guram Avtandilovich - Moscow State University of Civil Engineering (MGSU) Candidate of Technical Sciences, Professor, Department of Strength of Materials, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .
  • Busalova Marina Sergeevna - Moscow State University of Civil Engineering (MGSU) postgraduate student, Department of Strength of Materials, Moscow State University of Civil Engineering (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation; This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

Pages 106-112

In the article the problem of calculation of a construction basis system in case of earthquake is considered taking into account casual properties of basis soil in various points of the soil body. As a stochastic function in the calculation of linearly deformable basis, the deformation module, which accepts different values in the direction
x,
y,
z, was chosen. In the calculation of the system on non-linearly deformable basis as incidentally distributed sizes the following parameters were accepted: deformation module, shear modulus, specific adhesion, angle of internal friction. The authors of the article offer to consider initial seismic influence in the form of casual stationary process. In order to solve such problems modern software systems are proposed that solve differential equations of motion via direct integration with explicit schemes. The calculation in this case will be held on the synthesized accelerograms. A short review of the task solution of the beam lying on elastic basis, which was received by D.N. Sobolev at casual distribution of pastel coefficient in the direction
x, is provided in article. In order to define the objective, D.N. Sobolev gives expressions for a population mean and correlation function of stochastic function. As a result of the task solution population means and dispersions of function of movements and its derivatives were received. The problem formulation considered in the article is more complicated, but at the same time important from a practical standpoint.

DOI: 10.22227/1997-0935.2014.12.106-112

References
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STUDY OF THE LANDSLIDE PROCESS BY THE CORRELATION ANALYSIS METHOD USING RANDOM FUNCTIONS

Vestnik MGSU 8/2017 Volume 12
  • Simonyan Vladimir Victorovich - Moscow State University of Civil Engineering (National Research University) (MGSU) Candidate of Technical Sciences, Associate Professor, Institute of Environmental Engineering and Mechanization, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.
  • Nikolaeva Galina Alexandrovna - Moscow State University of Civil Engineering (National Research University) (MGSU) student, Institute of Environmental Engineering and Mechanization, Moscow State University of Civil Engineering (National Research University) (MGSU), 26 Yaroslavskoe shosse, Moscow, 129337, Russian Federation.

Pages 846-853

Subject of research is the analysis of the dynamics of landslide processes on the example of Karamyshevskiy slope in Moscow. Objectives are to show that the method of correlation analysis using random functions can be used to analyze the dynamics of landslide processes along with other methods. The magnitude of the displacements of landslide points of Karamyshevskiy landslide, obtained from the data of geodetic monitoring (a total of 8 cycles of observations) serve as source material. Plans of isolines in space were constructed on the basis of these displacements. Applying the method of correlation analysis and having the necessary computational calculations, the estimates of the mathematical expectation for random variables, estimation of variance and correlation moments and estimating the standard deviations obtained normalized autocorrelation function, which is approximated by exponential function, were obtained. For clarity, the illustrations are given with isolines of displacements, the random graph function, the graph of the normalized autocorrelation function and the graph of the approximating function. The obtained exponential function allows to make some conclusions about landslide processes in Keramicheskiy slope: landslide displacement is continuing and will continue in the future. It is necessary to takes measures for engineering protection; approximation of the normalized correlation function of the form ρ = 0.9986е-3Е-04x allow to apply this approach to expectation values of the displacements of the landslide points. The study of landslide process at Karamyshevskiy slope by the method of correlation analysis using the random functions shows that this method can be used in the analysis of slope stability along with other methods. The method can be recommended for the analysis of the dynamics of landslides and other landslide slopes.

DOI: 10.22227/1997-0935.2017.8.846-853

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