Investigating the hydrostatic and hydrodynamic behaviour of large size butterfly valves using experimental and numerical methods [PDF]
In this paper, c. For this purpose, stress distribution and deformation of the major parts of the valve and also, the hydrodynamic torque, which is applied to the valve-disk, have been calculated at different opening angles of the disk.
Aziz Shokuhi +3 more
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Magnetohydrodynamic and Ferrohydrodynamic Fluid Flow Using the Finite Volume Method
Many problems in fluid mechanics describe the change in the flow under the effect of electromagnetic forces. The present study explores the behaviour of an electric conducting, Newtonian fluid flow applying the magnetohydrodynamics (MHD) and ...
Grigorios Chrimatopoulos +2 more
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Numerical Solution of Dual Fully Fuzzy Equations System Using Some Meta Heuristic Methods [PDF]
Nowadays, there is more and more attention from researchers in solving various problems in the applied field of fuzzy equations, one of which is the fluid mechanics problem of reservoir piping.
Aang Nuryaman +4 more
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Modified Homotopy Perturbation Method for Solving Fractional Differential Equations
The modified homotopy perturbation method is extended to derive the exact solutions for linear (nonlinear) ordinary (partial) differential equations of fractional order in fluid mechanics. The fractional derivatives are taken in the Caputo sense.
A. A. Hemeda
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On 4-dimensional Einsteinian manifolds with parallel null distribution [PDF]
In this paper, we investigate the Einsteinian manifolds with parallel null distribution. For this purpose, we first obtain the equations, which are known as Einstein's equations, that lead to finding the mentioned manifolds and then, we reduce Einstein's
Mehdi Jafari
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In this paper we will review a recent emerging paradigm shift in the construction and analysis of high order Discontinuous Galerkin methods applied to approximate solutions of hyperbolic or mixed hyperbolic-parabolic partial differential equations (PDEs)
Gregor J. Gassner, Andrew R. Winters
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Predictions for Unsteady Flow Fields With Deep Learning Models of LSTM and GRU
Deep learning methods based on time series prediction are widely applied to solving fluid dynamics problems. However, the application characteristics of Long Short-Term Memory (LSTM) and Gate Recurrent Unit (GRU) in fluid mechanics are lacking in the ...
Zhang Xing-Wei +4 more
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Mechanics in the service of electricity generation
Electricity generation relies on a set of complex facilities where mechanical engineering plays an essential role in ensuring the performance, reliability, safety, and sustainability of systems.
Leclercq Sylvain +16 more
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Hydrogeological structure model of the fault zone in the karst area of north China
The fault zone has a controlling effect on the mechanical properties and fluid flow characteristics of the crust. It is an extensively distributed and very important structural pattern in the upper crust, and widely participates in the crustal activity ...
Yuanqing LIU +6 more
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Geometry aware physics informed neural network surrogate for solving Navier–Stokes equation (GAPINN)
Many real world problems involve fluid flow phenomena, typically be described by the Navier–Stokes equations. The Navier–Stokes equations are partial differential equations (PDEs) with highly nonlinear properties. Currently mostly used methods solve this
Jan Oldenburg +4 more
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