Numerical modeling of nonlinear vibrations of viscoelastic shallow shells

Khudayarov, B.A.; Ruzmetov, K.; Turaev, F.Zh.; Vaxobov, V.; Hidoyatova, M.; Mirzaev, Sayibdjan; Abdikarimov, Rustamkhan

doi:10.5267/j.esm.2020.1.004

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…Therefore, first-order finite differences eliminate the linear trend (Table 3). Using Table 3, the formulas from the literature [1][2][3][4][5] determine the values of the autocorrelation coefficients 𝑅 𝐿 𝑜𝑢𝑡 𝑜𝑓 𝐿 = 1,2,3,4,5 (where: 𝐿 𝑎 , time shift, i.e. the time interval of one phenomenon lagging behind the other associated with it):…”

Section: Resultsmentioning

confidence: 99%

“…The above mentioned tasks were solved using various methods: 1) The study of the yield of agricultural processes, as a discrete dynamic series and forecasting their yield based on experimental data, play an important role in determining the economic efficiency of farming, dekhkan farms; 2) In this work, the processing and analysis of cotton yield for the observation period 1991-2020 in the Kashkadarya region of the Republic of Uzbekistan was carried out as a discrete time series; 3) Using the methods of statistical analysis of time series, point and interval estimates for the average yield of cotton were constructed , explicit types of trends were determined and the yield was predicted for subsequent years, and various statistical hypotheses were tested [1][2][3][4][5][6][7].…”

Section: Methodsmentioning

confidence: 99%

“…When processing time series, the methods are largely based on the methods developed by mathematical statistics for distribution series. To date, statistics has a variety of methods for analyzing time series from the most elementary to the most complex [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

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Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

Ruzmetov,

Faiziev,

Murodov

et al. 2023

E3S Web of Conf.

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There are phenomena that are significant to research because of how they grow and change through time in practically every discipline. One could attempt to direct a process, forecast the future using knowledge of the past, or characterize the distinctive aspects of a series using a finite quantity of information. The techniques used to handle time series are heavily influenced by the techniques created by mathematical statistics for distribution series. The most basic to the most complicated time series analysis techniques exist in statistics today. The article discusses the statistical analysis of a time series, specifically the average yield of cotton in the Kashkadarya region, Uzbekistan, and the Republics, using data from the Central Statistical Office of Uzbekistan from 2001 to 2020. The study involved constructing point and interval estimates for the average cotton yield with a 95% guarantee, identifying different types of trends, and predicting future yields for the region. Through the use of the Durbin-Watson statistical criteria, it was discovered that there is an autocorrelation dependence in the average cotton yield, indicating that the yield for the current year is dependent on yields from past years. The methods used in this study can be applied to further research conducted by students and scientists.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

Ruzmetov,

Faiziev,

Murodov

et al. 2023

E3S Web of Conf.

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“…Depending on the needs, the client can include weed presence, yield, nitrogen supply maps, differential application recommendations, potential yield estimates and more. Automated data collection and analysis enables timely informed decision-making [7,8].…”

Section: Introductionmentioning

confidence: 99%

Development of agricultural crop monitoring software

Ruzmetov

Safarov²,

Avazov³

et al. 2023

E3S Web of Conf.

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The operation of Bradley's algorithm is simple. After that, we divide the image into several areas alongside d, take the average value of the sum of the values of Im pixels in this area, add the value, and compare the value of each pixel with the obtained result. 1/8 of the image width and 15% of the average pixel brightness across the area. In general, both of these parameters can and should be changed according to the specific situation. Thus, if the size of the object is larger than the area of a square with a side equal to d, then the center of this object can be taken as the background by the algorithm, and the problem is solved by reducing the value of d, but fine details of the image may be lost. This article provides an overview of some research and image processing analysis on the problem of crop and vegetation image recognition. Remote identification of crops and plants and their cultivation, assessment of horticulture status startup projects are presented. A computer vision system for obtaining images from a drone and assessing the condition of a garden is provided. Digitization methods for data processing are considered.

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“…The problems of bending, strength and dynamics of viscoelastic thin-walled structural elements were studied by B.A. Khudayarov and his students [13][14][15][16][17][18][19][20][21][22][23][24][25], [28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

Numerical study of nonlinear problems in the dynamics of thin-walled structural elements

et al. 2021

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Mathematical model of the problem of vibration of thin-walled structural elements has been constructed based on Kirchhoff-Love theory. The problem is reduced, using the Bubnov-Galerkin method, to the solution of a set of nonlinear integro-differential Volterra type equations with weakly-singular kernels of relaxation. A numerical method based on the use of quadrature formulae being used for their solution. The influence of rheological parameters of the material on the values of critical velocity and amplitude-frequency characteristics of viscoelastic thin-walled structural elements is analyzed. It is shown that tacking account viscoelastic properties of the material of thin-walled structures lead to a decrease in the critical rate of gas flow.

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Numerical modeling of nonlinear vibrations of viscoelastic shallow shells

Cited by 16 publications

References 6 publications

Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

Statistical analysis and forecasting of cotton yield dynamics in Kashkadarya region of Republic of Uzbekistan

Development of agricultural crop monitoring software

Numerical study of nonlinear problems in the dynamics of thin-walled structural elements

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