Environmental Problems. – 2017. – Vol. 2, No. 3

Permanent URI for this collectionhttps://ena.lpnu.ua/handle/ntb/42128

Науковий журнал

Засновник і видавець Національний університет «Львівська політехніка». Виходить двічі на рік з 2016 року.

Environmental Problems = Екологічні проблеми : [науковий журнал] / Lviv Polytechnic National University ; [editor-in-chief M. Malovanyy]. – Lviv : Lviv Politechnic Publishing House, 2017. – Volume 2, number 3. – P. 155–186. : ill.

Зміст (том 2, № 3)


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Content (Vol. 2, No 3)


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Author: search.filters.author.Glushkov, Alexander

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Now showing 1 - 3 of 3
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    Damage analysis and detection under varying environmental and operational conditions using a chaos theory methods
    (Lviv Politechnic Publishing House, 2017-09-08) Buyadzhi, Vasily; Ternovsky, Valentin; Glushkov, Alexander; Khetselius, Olga; Svinarenko, Andrey; Bakunina, Elena; Odessa State Environmental University
    The paper is devoted to problem of analysis, identification and prediction of the presence of damages, which above a certain level may present a serious threat to the engineering (vibrating) structures such as different technical systems (hydrotechnical equipment, hydroelectrical station engines, atomic reactors ones etc). Usually change of structural dynamic properties due to environmental, operational and other effects allows to determine the existence, location and size of damages. We present and apply an effective computational approach to modelling, analysis of chaotic behaviour of structural dynamic properties of the engineering structures. The approach includes a combined group of non-linear analysis and chaos theory methods such as a correlation integral approach, average mutual information, surrogate data, false nearest neighbours algorithms, the Lyapunov’s exponents and Kolmogorov entropy analysis, nonlinear prediction models etc. As illustration we present the results of the numerical investigation of a chaotic elements in dynamical parameter time series for the experimental cantilever beam (environmental conditions are imitated by damaged structure, variating temperature, availability of a pinknoise force). For the first time we list the numerical data on topological and dynamical invariants, i.e., correlation, embedding, Kaplan-Yorke dimensions, Lyapunov’s exponents and Kolmogorov entropy etc.
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    Modeling evolutionary dynamics of complex ecosystems using combined chaos theory and neural networks methods: I. Formal theoretical basis for application to environmental radioactivity dynamics
    (Lviv Politechnic Publishing House, 2017-09-08) Glushkov, Alexander; Khetselius, Olga; Safranov, Tamerlan; Buyadzhi, Vasily; Ignatenko, Anna; Svinarenko, Andrey; Odessa State Environmental University
    We present elements of the formal mathematical approach to the analysis, modeling and further prediction of the nonlinear dynamics of chaotic systems based on the methods of nonlinear analysis and neural networks. As the object of studing is the environmental radioactivity dynamics. Using such a combined method is proposed for the first time in the environmental radioactivity dynamnics studying. Use of the information about the phase space in the simulation of the evolution of the physical process in time can be considered as a major innovation in the modeling of chaotic processes in the complex systems. This concept can be achieved by constructing a parameterized nonlinear function F (x, a), which transform y (n) to y(n+1) = = F[y(n),a], and then use different criteria for determining the parameters a . Firstly to build the desired functions it is offered using the wavelet expansions. Further, since there is the notion of local neighborhoods, we can create a model of the process occurring in the neighborhood, at the neighborhood and by combining together these local models to construct a global non-linear model to describe most of the structure of the attractor.
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    Studying an air ventilation and pollution in an atmosphere of industrial city: elements of new modeling approach and green-city technology
    (Lviv Politechnic Publishing House, 2017-09-08) Khetselius, Olga; Glushkov, Alexander; Safranov, Tamerlan; Buyadzhi, Vasily; Bunyakova, Yuliya; Romanova, Anna; Odessa State Environmental University
    We develop the elements of a new generalized approach to natural air ventilation of the industrial city. It is based on the Arakawa-Shubert and Glushkov models which allow to give a quantitative reliable modelling an unsteady turbulence in the urban area and atmospheric ventilation dynamics. To calculate the air circulation for the cloud layer arrays, penetrating into the territory of the urban area, we apply the methods of a plane complex field theory. The method allows to calculate the convection parameters and shifting cumulus cloud ensemble from surrounung regions. An advanced mathematical method for modelling an unsteady turbulence in the city’s area is developed and applied. As illustrative example, we apply our approach to computing the ventilation potential and current function for typical (quite simplified) sinopticl situation for the territory of the Odessa city.