Numerical aspects of the smoothed particle hydrodynamics method for simulating accretion disks

Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8

Scientific paper

The derivation of the Smoothed Particle Hydrodynamics (SPH) method is reviewed. In particular, the problem of second-order derivative terms is investigated. Applying these considerations to the Navier-Stokes equations, a physical viscosity is constructed which can be used to perform simulations of viscous fluids within the framework of SPH. With such a viscous stress tensor the energy balance and the angular momentum conservation for the particle and the continuum representations are compared. An SPH code based on these results is tested on different problems, especially on an analytically solvable problem, namely the spreading of a ring of gas moving with Keplerian speed around a point mass. Additionally, some examples for the dynamics of accretion disks in close binary systems are presented. Finally, the efficient implementation of this SPH code is discussed in some detail, in particular by a comparison between scalar and vector computers.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Numerical aspects of the smoothed particle hydrodynamics method for simulating accretion disks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Numerical aspects of the smoothed particle hydrodynamics method for simulating accretion disks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numerical aspects of the smoothed particle hydrodynamics method for simulating accretion disks will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1270027

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.