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Hybrid Discrete (HTN) Approximations...

Shin, Minwoo.

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Hybrid Discrete (HTN) Approximations to the Equation of Radiative Transfer.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hybrid Discrete (HTN) Approximations to the Equation of Radiative Transfer./
作者:	Shin, Minwoo.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2019,
面頁冊數:	118 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-12, Section: B.
Contained By:	Dissertations Abstracts International80-12B.
標題:	Applied Mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13426815
ISBN:	9781392265871

Hybrid Discrete (HTN) Approximations to the Equation of Radiative Transfer.
Shin, Minwoo.

Hybrid Discrete (HTN) Approximations to the Equation of Radiative Transfer. - Ann Arbor : ProQuest Dissertations & Theses, 2019 - 118 p.

Source: Dissertations Abstracts International, Volume: 80-12, Section: B.

Thesis (Ph.D.)--Iowa State University, 2019.

This item must not be sold to any third party vendors.

The linear kinetic transport equations are ubiquitous in many application areas, including as a model for neutron transport in nuclear reactors and the propagation of electromagnetic radiation in astrophysics. The main computational challenge in solving the linear transport equations is that solutions live in a high-dimensional phase space that must be sufficiently resolved for accurate simulations. The three standard computational techniques for solving the linear transport equations are the (1) implicit Monte Carlo, (2) discrete ordinate (SN), and (3) spherical harmonic (PN) methods. Monte Carlo methods are stochastic methods for solving time-dependent nonlinear radiative transfer problems. In a traditional Monte Carlo method when photons are absorbed, they are reemitted in a distribution which is uniform over the entire spatial cell where the temperature is assumed constant, resulting in loss of information. In implicit Monte Carlo(IMC) methods, photons are reemitted from the place where they were actually absorbed, which improves the accuracy. Overall, IMC method improves stability, flexibility, and computational efficiency fleck. The SN method solves the transport equation using a quadrature rule to reconstruct the energy density. This method suffers from so-called "ray effect", which are due to the approximation of the double integral over a unit sphere by a finite number of discrete angular directions chai. The PN approximation is based on expanding the part of the solution that depends on velocity direction (i.e., two angular variables) into spherical harmonics. A big challenge with the PN approach is that the spherical harmonics expansion does not prevent the formation of negative particle concentrations. The idea behind my research is to develop on an alternative formulation of PN approximations that hybridizes aspects of both PN and SN. Although the basic scheme does not guarantee positivity of the solution, the new formulation allows for the introduction of local limiters that can be used to enforce positivity.

ISBN: 9781392265871Subjects--Topical Terms:

1669109
Applied Mathematics.

Hybrid Discrete (HTN) Approximations to the Equation of Radiative Transfer.
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520 $a The linear kinetic transport equations are ubiquitous in many application areas, including as a model for neutron transport in nuclear reactors and the propagation of electromagnetic radiation in astrophysics. The main computational challenge in solving the linear transport equations is that solutions live in a high-dimensional phase space that must be sufficiently resolved for accurate simulations. The three standard computational techniques for solving the linear transport equations are the (1) implicit Monte Carlo, (2) discrete ordinate (SN), and (3) spherical harmonic (PN) methods. Monte Carlo methods are stochastic methods for solving time-dependent nonlinear radiative transfer problems. In a traditional Monte Carlo method when photons are absorbed, they are reemitted in a distribution which is uniform over the entire spatial cell where the temperature is assumed constant, resulting in loss of information. In implicit Monte Carlo(IMC) methods, photons are reemitted from the place where they were actually absorbed, which improves the accuracy. Overall, IMC method improves stability, flexibility, and computational efficiency fleck. The SN method solves the transport equation using a quadrature rule to reconstruct the energy density. This method suffers from so-called "ray effect", which are due to the approximation of the double integral over a unit sphere by a finite number of discrete angular directions chai. The PN approximation is based on expanding the part of the solution that depends on velocity direction (i.e., two angular variables) into spherical harmonics. A big challenge with the PN approach is that the spherical harmonics expansion does not prevent the formation of negative particle concentrations. The idea behind my research is to develop on an alternative formulation of PN approximations that hybridizes aspects of both PN and SN. Although the basic scheme does not guarantee positivity of the solution, the new formulation allows for the introduction of local limiters that can be used to enforce positivity.
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