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Characterization of Thermal Transport in One-dimensional Solid Materials
Published on: January 26, 2014
Radiative or neutron transport modeling using a lattice Boltzmann equation framework
1Levich Institute, City College of New York, New York City, NY 10031, USA. hbindra@che.ccny.cuny.edu
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|September 26, 2012
Summary
The lattice Boltzmann equation (LBE) framework offers a simpler method for solving linear radiative and neutron transport equations, including scattering effects. This approach proves equivalent to established P(n) and S(n) methods.
Area of Science:
- Computational physics
- Numerical methods
Background:
- The linear radiative and neutron transport equations are fundamental in various physics and engineering fields.
- Solving these equations, especially with scattering terms, can be computationally intensive using traditional methods.
Purpose of the Study:
- To introduce and validate a lattice Boltzmann equation (LBE)-based framework for solving linear radiative and neutron transport equations.
- To demonstrate the efficacy of the LBE framework for problems involving scattering terms (isotropic and anisotropic).
Main Methods:
- The study employs the lattice Boltzmann equation (LBE) framework, adapted for the integrodifferential form of the transport equations.
- Interparticle collisions are neglected, simplifying the model by omitting nonlinear collision terms.
- One- and two-dimensional test cases, with and without scattering, are used to validate the LBE approach.
Main Results:
- The LBE framework successfully solves the linear radiative and neutron transport equations.
- Solutions obtained via the LBE methodology are shown to be equivalent to those from established P(n) and S(n) methods.
- The method's validity is demonstrated across various geometries and scattering conditions.
Conclusions:
- The lattice Boltzmann equation (LBE) framework provides a viable and potentially more convenient alternative for solving neutron and radiation transport problems.
- This method offers a promising direction for computational efficiency and ease of implementation in transport simulations.
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