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Navier–Stokes equations

About: Navier–Stokes equations is a research topic. Over the lifetime, 18180 publications have been published within this topic receiving 552555 citations. The topic is also known as: Navier-Stokes equations.


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TL;DR: In this article, a method for simulating incompressible, imiscible, unsteady, Newtonian, multi-fluid flows with free surfaces is described, where a sharp interface separates fluids of different density and viscosity.

132 citations

Journal ArticleDOI
TL;DR: In this paper, the Navier-Stokes equations are used to calculate the flow of two fluids in random networks, where the fluids are assumed to be incompressible, immiscible, Newtonian, and of equal viscosity.
Abstract: To explore how the microscopic geometry of a pore space affects the macroscopic characteristics of fluid flow in porous media, the authors have used approximate solutions of the Navier-Stokes equations to calculate the flow of two fluids in random networks. The model pore space consists of an array of pores of variable radius connected by throats of variable length and radius to a random number of nearest neighbors. The various size and connectedness distributions may be arbitrarily assigned, as are the wetting characteristics of the two fluids in the pore space. The fluids are assumed to be incompressible, immiscible, Newtonian, and of equal viscosity. In the calculation, the authors use Stokes flow results for the motion of the individual fluids and incorporate microscopic capillary force via the Washburn approximation. At any time, the problem is mathematically identical to a random electrical network of resistors, batteries and diodes. From the numerical solution of the latter, the authors compute the fluid velocities and saturation rates of change, and use a discrete time-stepping procedure to follow the subsequent motion. The scale of the computation has so far restricted the authors to networks of modest size (100-400 pores) in two dimensions. Within these limitations,more » the authors discuss the dependence of residual oil saturations and interface shapes on network geometry and flow conditions.« less

132 citations

Journal ArticleDOI
TL;DR: In this article, the authors extended this classical layer potential approach to cover Lipschitz domains in Euclidean space, and the main result concerning the (constant coefficient) Stokes system was the treatment of the L-Dirichlet boundary value problem (and its regular version).
Abstract: The Navier-Stokes equations are a system of nonlinear evolution equations modeling the flow of a viscous, incompressible fluid. One ingredient in the analysis of this system is the stationary, linear system known as the Stokes system, a boundary value problem (BVP) that will be described in detail in the next section. Layer potential methods in smoothly bounded domains in Euclidean space have proven useful in the analysis of the Stokes system, starting with work of Odqvist and Lichtenstein, and including work of Solonnikov and many others. See the discussion in Chapter III of [10] and in [17], for the case of flow in regions with smooth boundary. A treatment based on the modern language of pseudodifferential operators can be found in [18]. In 1988, E. Fabes, C. Kenig and G. Verchota [6], extended this classical layer potential approach to cover Lipschitz domains in Euclidean space. In [6] the main result concerning the (constant coefficient) Stokes system on Lipschitz domains with connected boundary in Euclidean space, is the treatment of the L-Dirichlet boundary value problem (and its regular version). To achieve this, the authors solve certain auxiliary Neumann type problems and then exploit the duality between these and the original BVP’s at the level of boundary integral operators. P. Deuring and W. von Wahl [4] made use of the analysis in [6] to demonstrate the short-time existence of solutions to the Navier-Stokes equations in bounded Lipschitz domains in threedimensional Euclidean space. It was necessary in [4] to include the hypothesis that the boundary be connected. The hypothesis that the boundary be connected pervaded much work on the application of layer potentials to analysis on Lipschitz domains. It was certainly natural to speculate that this restriction was an artifact of the methods used and not ∗Partly supported by NSF grant DMS-9870018. †Partially supported by NSF grant DMS-9877077. 1991Mathematics Subject Classification. Primary 35Q30, 76D05, 35J25; Secondary 42B20, 45E05.

132 citations

Journal ArticleDOI
TL;DR: In this article, a mathematical model of non-linear two-dimensional blood flow in tapered arteries in the presence of stenosis is developed, where the vascular wall deformability is taken to be elastic while the flowing blood contained in it is treated to be Newtonian.
Abstract: A mathematical model of non-linear two-dimensional blood flow in tapered arteries in the presence of stenosis is developed. An improved shape of the time-variant overlapping stenosis present in the tapered arterial lumen is given mathematically in order to update resemblance to the in vivo situation. The vascular wall deformability is taken to be elastic while the flowing blood contained in it is treated to be Newtonian. The non-linear terms appearing in the Navier–Stokes equations governing blood flow and the instantaneous taper angle are accounted for. The present analytical treatment bears the potential to calculate both the axial and the radial velocity profiles with low computational complexity by exploiting the appropriate boundary conditions and the input pressure gradient arising from the normal functioning of the heart. The computed results are found to converge at a high rate with the tolerance of ∼10−14 and agree well with the corresponding existing data. An extensive quantitative analysis is performed through numerical computations of the desired quantities presented graphically at the end of the paper which help estimating the effects of tapering, the wall motion, the stenosis and the pulsatile pressure gradient on the flow characteristics of blood and thereby the applicability of the present model is established.

132 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023183
2022389
2021544
2020509
2019545
2018575