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Velocity dynamic

Major simulation parameters for aerospace applications include heat flux and flow dynamics. Radiation equilibrium temperature is an alternative parameter to simulate the heat flux. Parameters simulating the flow dynamics include flow velocity, dynamic pressure, etc.. [Pg.464]

Gupta At the present time, the PIV simply captures the velocity dynamics of the droplets. For nonreacting flows, w e seed the two systems separately. [Pg.138]

For shale from the North Sea, Horsrud (2001) gives a detailed analysis and derived the empirical correlation between compressional wave velocity (dynamic) and static Young s modulus and static shear modulus... [Pg.287]

The absolute or dynamic viscosity is defined as the ratio of shear resistance to the shear velocity gradient. This ratio is constant for Newtonian fluids. [Pg.94]

The paper discusses the application of dynamic indentation method and apparatus for the evaluation of viscoelastic properties of polymeric materials. The three-element model of viscoelastic material has been used to calculate the rigidity and the viscosity. Using a measurements of the indentation as a function of a current velocity change on impact with the material under test, the contact force and the displacement diagrams as a function of time are plotted. Experimental results of the testing of polyvinyl chloride cable coating by dynamic indentation method and data of the static tensile test are presented. [Pg.239]

The method covers the full dynamic range of linear velocities from a few centimetres/second to over 100 meters/seconds with one and the same instrumental set-up. Only the amount of tracer used per injection is varied. [Pg.1055]

Two simulation methods—Monte Carlo and molecular dynamics—allow calculation of the density profile and pressure difference of Eq. III-44 across the vapor-liquid interface [64, 65]. In the former method, the initial system consists of N molecules in assumed positions. An intermolecule potential function is chosen, such as the Lennard-Jones potential, and the positions are randomly varied until the energy of the system is at a minimum. The resulting configuration is taken to be the equilibrium one. In the molecular dynamics approach, the N molecules are given initial positions and velocities and the equations of motion are solved to follow the ensuing collisions until the set shows constant time-average thermodynamic properties. Both methods are computer intensive yet widely used. [Pg.63]

The often-cited Amontons law [101. 102] describes friction in tenns of a friction coefiBcient, which is, a priori, a material constant, independent of contact area or dynamic parameters, such as sliding velocity, temperature or load. We know today that all of these parameters can have a significant influence on the magnitude of the measured friction force, especially in thin-film and boundary-lubricated systems. [Pg.1743]

Andersen H C 1983 RATTLE a velocity version of the SHAKE algorithm for molecular dynamics calculations J. Comput. Phys. 52 24-34... [Pg.2281]

This method has been devised as an effective numerical teclmique of computational fluid dynamics. The basic variables are the time-dependent probability distributions f x, f) of a velocity class a on a lattice site x. This probability distribution is then updated in discrete time steps using a detenninistic local rule. A carefiil choice of the lattice and the set of velocity vectors minimizes the effects of lattice anisotropy. This scheme has recently been applied to study the fomiation of lamellar phases in amphiphilic systems [92, 93]. [Pg.2383]

Continuum theory has also been applied to analyse tire dynamics of flow of nematics [77, 80, 81 and 82]. The equations provide tire time-dependent velocity, director and pressure fields. These can be detennined from equations for tire fluid acceleration (in tenns of tire total stress tensor split into reversible and viscous parts), tire rate of change of director in tenns of tire velocity gradients and tire molecular field and tire incompressibility condition [20]. [Pg.2558]

It is convenient to analyse tliese rate equations from a dynamical systems point of view similar to tliat used in classical mechanics where one follows tire trajectories of particles in phase space. For tire chemical rate law (C3.6.2) tire phase space , conventionally denoted by F, is -dimensional and tire chemical concentrations, CpC2,- are taken as ortliogonal coordinates of F, ratlier tlian tire particle positions and velocities used as tire coordinates in mechanics. In analogy to classical mechanical systems, as tire concentrations evolve in time tliey will trace out a trajectory in F. Since tire velocity functions in tire system of ODEs (C3.6.2) do not depend explicitly on time, a given initial condition in F will always produce tire same trajectory. The vector R of velocity functions in (C3.6.2) defines a phase-space (or trajectory) flow and in it is often convenient to tliink of tliese ODEs as describing tire motion of a fluid in F with velocity field/ (c p). [Pg.3055]

The topological (or Berry) phase [9,11,78] has been discussed in previous sections. The physical picture for it is that when a periodic force, slowly (adiabatically) varying in time, is applied to the system then, upon a full periodic evolution, the phase of the wave function may have a part that is independent of the amplitude of the force. This part exists in addition to that part of the phase that depends on the amplitude of the force and that contributes to the usual, dynamic phase. We shall now discuss whether a relativistic electron can have a Berry phase when this is absent in the framework of the Schrddinger equation, and vice versa. (We restrict the present discussion to the nearly nonrelativistic limit, when particle velocities are much smaller than c.)... [Pg.166]

In practice modifications are made to incorporate thermostats or barostats that may destroy the time-reversible and symplectic properties. While extended-system algorithms such as Nose dynamics [41] can be designed on the principles of the reversible operators, methods that use proportional velocity or coordinate scaling [42] cannot. Such methods arc very... [Pg.6]

The first requirement is the definition of a low-dimensional space of reaction coordinates that still captures the essential dynamics of the processes we consider. Motions in the perpendicular null space should have irrelevant detail and equilibrate fast, preferably on a time scale that is separated from the time scale of the essential motions. Motions in the two spaces are separated much like is done in the Born-Oppenheimer approximation. The average influence of the fast motions on the essential degrees of freedom must be taken into account this concerns (i) correlations with positions expressed in a potential of mean force, (ii) correlations with velocities expressed in frictional terms, and iit) an uncorrelated remainder that can be modeled by stochastic terms. Of course, this scheme is the general idea behind the well-known Langevin and Brownian dynamics. [Pg.20]

If there are no reactions, the conservation of the total quantity of each species dictates that the time dependence of is given by minus the divergence of the flux ps vs), where (vs) is the drift velocity of the species s. The latter is proportional to the average force acting locally on species s, which is the thermodynamic force, equal to minus the gradient of the thermodynamic potential. In the local coupling approximation the mobility appears as a proportionality constant M. For spontaneous processes near equilibrium it is important that a noise term T] t) is retained [146]. Thus dynamic equations of the form... [Pg.26]


See other pages where Velocity dynamic is mentioned: [Pg.6566]    [Pg.2334]    [Pg.161]    [Pg.2317]    [Pg.6565]    [Pg.92]    [Pg.514]    [Pg.58]    [Pg.2533]    [Pg.1556]    [Pg.6566]    [Pg.2334]    [Pg.161]    [Pg.2317]    [Pg.6565]    [Pg.92]    [Pg.514]    [Pg.58]    [Pg.2533]    [Pg.1556]    [Pg.240]    [Pg.911]    [Pg.183]    [Pg.357]    [Pg.664]    [Pg.686]    [Pg.848]    [Pg.874]    [Pg.1529]    [Pg.1744]    [Pg.2059]    [Pg.2062]    [Pg.2084]    [Pg.2253]    [Pg.2382]    [Pg.2475]    [Pg.2820]    [Pg.2832]    [Pg.2930]    [Pg.3071]    [Pg.40]    [Pg.311]    [Pg.17]    [Pg.240]   
See also in sourсe #XX -- [ Pg.120 , Pg.152 ]




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Dynamic velocity range

Dynamic velocity ratio

Dynamical simulation methods velocity propagation

Dynamics Diffusion, Flow and Velocity Imaging

Exchange velocity, dynamic equilibrium

Fluid dynamics laminar velocity profile

Fluid dynamics velocity calculation

Fluid dynamics velocity profile

Molecular dynamics velocity correlation function

Velocity autocorrelation function , mode dynamics

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