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A High-Order Low-Order Algorithm with Exponentially Convergent Monte Carlo for Thermal Radiative Transfer

Journal Article · · Nuclear Science and Engineering
DOI:https://doi.org/10.13182/NSE16-36· OSTI ID:1338753
 [1];  [2];  [1]
  1. Texas A & M Univ., College Station, TX (United States). Dept. of Nuclear Engineering
  2. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
In this paper, we have implemented a new high-order low-order (HOLO) algorithm for solving thermal radiative transfer problems. The low-order (LO) system is based on the spatial and angular moments of the transport equation and a linear-discontinuous finite-element spatial representation, producing equations similar to the standard S2 equations. The LO solver is fully implicit in time and efficiently resolves the nonlinear temperature dependence at each time step. The high-order (HO) solver utilizes exponentially convergent Monte Carlo (ECMC) to give a globally accurate solution for the angular intensity to a fixed-source pure-absorber transport problem. This global solution is used to compute consistency terms, which require the HO and LO solutions to converge toward the same solution. The use of ECMC allows for the efficient reduction of statistical noise in the Monte Carlo solution, reducing inaccuracies introduced through the LO consistency terms. Finally, we compare results with an implicit Monte Carlo code for one-dimensional gray test problems and demonstrate the efficiency of ECMC over standard Monte Carlo in this HOLO algorithm.
Research Organization:
Los Alamos National Laboratory (LANL); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); USDOE Office of Nuclear Energy (NE). Nuclear Energy University Programs (NEUP)
Grant/Contract Number:
89233218CNA000001; AC52-06NA25396; NA0002376
OSTI ID:
1338753
Alternate ID(s):
OSTI ID: 1673359
Report Number(s):
LA-UR--14-29653; LA-UR-16-20497
Journal Information:
Nuclear Science and Engineering, Journal Name: Nuclear Science and Engineering Journal Issue: 1 Vol. 185; ISSN 0029-5639
Publisher:
American Nuclear Society - Taylor & FrancisCopyright Statement
Country of Publication:
United States
Language:
English

References (12)

A Linear-Discontinuous Spatial Differencing Scheme forSnRadiative Transfer Calculations journal October 1996
Implicit Monte Carlo Diffusion—An Acceleration Method for Monte Carlo Time-Dependent Radiative Transfer Simulations journal September 2001
An implicit Monte Carlo scheme for calculating time and frequency dependent nonlinear radiation transport journal December 1971
Asymptotic analysis of radiative transfer problems journal April 1983
Comparison of implicit and symbolic implicit Monte Carlo line transport with frequency weight vector extension journal July 2003
Asymptotic equilibrium diffusion analysis of time-dependent Monte Carlo methods for grey radiative transfer journal September 2004
A new proof of geometric convergence for general transport problems based on sequential correlated sampling methods journal December 2008
A hybrid transport-diffusion Monte Carlo method for frequency-dependent radiative-transfer simulations journal August 2012
Properties of the implicitly time-differenced equations of thermal radiation transport journal April 2013
Residual Monte Carlo high-order solver for Moment-Based Accelerated Thermal Radiative Transfer equations journal November 2014
Finite-Difference Approximations and Superconvergence for the Discrete-Ordinate Equations in Slab Geometry journal April 1982
A Discrete Maximum Principle for the Implicit Monte Carlo Equations journal March 2013

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