Akademik Arşiv / Academic Archive
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Publication On the Eddy Current Losses in Metallic Towers(Center of Biomass and Renewable Energy Scientia Academy, 2020-01-09) Ibrahim Mahariq; Svetlana Beryozkina; Huda Mohammed; Hamza KurtThe existence of magnetic field around high-voltage overhead transmission lines or low-voltage distribution lines is a known fact and well-studied in the literature. However, the interaction of this magnetic field either with transmission or distribution towers has not been investigated. Noteworthy it is to remember that this field is time-varying with a frequency of 50 Hz or 60 Hz depending on the country. In this paper, we studied for the first time the eddy currents in towers which are made of metals. As the geometrical structures of towers are extremely complex to model, we provide a simple approach based on principles of electromagnetism in order to verify the existence of power loss in the form of eddy currents. The frequency-domain finite difference method is adapted in the current study for simulating the proposed model. The importance of such a study is the addition of a new type of power loss to the power network due to the fact that some towers are made of relatively conductive materials.©2020. CBIORE-IJRED. All rights reservedPublication Analysis of Twitter Data Using Evolutionary Clustering during the COVID-19 Pandemic(Computers, Materials and Continua (Tech Science Press), 2020) Ibrahim Arpaci; Shadi Alshehabi; Mostafa Al-Emran; Mahmoud Khasawneh; Ibrahim Mahariq; Thabet Abdeljawad; Aboul Ella HassanienPublication Fractal-Fractional Mathematical Model Addressing the Situation of Corona Virus in Pakistan(Elsevier BV, 2020-12) Kamal Shah; Muhammad Arfan; Ibrahim Mahariq; Ali Ahmadian; Soheil Salahshour; Massimiliano FerraraPublication Numerical solution of the second order linear and nonlinear integro-differential equations using Haar wavelet method(Informa UK Limited, 2021-01-01) Rohul Amin; Ibrahim Mahariq; Kamal Shah; Muhammad Awais; Fahmi ElsayedPublication Modeling of Heart Rate Variability Using Time-Frequency Representations(Computers, Materials and Continua (Tech Science Press), 2021) Ghaylen Laouini; Ibrahim Mahariq; Thabet Abdeljawad; Hasan Aksoy; Aksoy, HasanPublication A comparative study of spreading of novel corona virus disease by ussing fractional order modified SEIR model(Elsevier BV, 2021-02) Hussam Alrabaiah; Muhammad Arfan; Kamal Shah; Ibrahim Mahariq; Aman UllahPublication Analytical solution of non-linear fractional order Swift-Hohenberg equations(Elsevier BV, 2021-09) Hussam Alrabaiah; Israr Ahmad; Kamal Shah; Ibrahim Mahariq; Ghaus Ur RahmanPublication Numerical Inverse Laplace Transform Methods for Advection-Diffusion Problems(MDPI AG, 2022-12-01) Farman Ali Shah; Wael Hosny Fouad Aly; Hasan Aksoy; Fahad M. Alotaibi; Ibrahim MahariqPartial differential equations arising in engineering and other sciences describe nature adequately in terms of symmetry properties. This article develops a numerical method based on the Laplace transform and the numerical inverse Laplace transform for numerical modeling of diffusion problems. This method transforms the time-dependent problem to a corresponding time-independent inhomogeneous problem by employing the Laplace transform. Then a local radial basis functions method is employed to solve the transformed problem in the Laplace domain. The main feature of the local radial basis functions method is the collocation on overlapping sub-domains of influence instead of on the whole domain, which reduces the size of the collocation matrix; hence, the problem of ill-conditioning in global radial basis functions is resolved. The Laplace transform is used in comparison with a finite difference technique to deal with the time derivative and avoid the effect of the time step on numerical stability and accuracy. However, using the Laplace transform sometimes leads to a solution in the Laplace domain that cannot be converted back into the real domain by analytic methods. Therefore, in such a case, the Laplace transform is inverted numerically. In this investigation, two inversion techniques are utilized; (i) the contour integration method, and (ii) the Stehfest method. Three test problems are used to evaluate the proposed numerical method. The numerical results demonstrate that the proposed method is computationally efficient and highly accurate.