The Random Ray Method for neutral particle transport

Tramm, John R.; Smith, Kord S.; Forget, Benoit; Siegel, Andrew R.

doi:10.1016/j.jcp.2017.04.038

Title: The Random Ray Method for neutral particle transport

Full Record
Other Related Research

Authors:

; Smith, Kord S.; Forget, Benoit; Siegel, Andrew R.

Publication Date:: Tue Aug 01 00:00:00 EDT 2017

Sponsoring Org.:: USDOE

OSTI Identifier:: 1396736

Grant/Contract Number:: AC02-06CH11357

Resource Type:: Publisher's Accepted Manuscript

Journal Name:: Journal of Computational Physics

Additional Journal Information:: Journal Name: Journal of Computational Physics Journal Volume: 342 Journal Issue: C; Journal ID: ISSN 0021-9991

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Citation Formats


                    Tramm, John R., Smith, Kord S., Forget, Benoit, and Siegel, Andrew R. The Random Ray Method for neutral particle transport.  United States: N. p., 2017. 
Web.  doi:10.1016/j.jcp.2017.04.038.

Copy to clipboard


                    Tramm, John R., Smith, Kord S., Forget, Benoit, & Siegel, Andrew R. The Random Ray Method for neutral particle transport.  United States.  https://doi.org/10.1016/j.jcp.2017.04.038

Copy to clipboard


                    Tramm, John R., Smith, Kord S., Forget, Benoit, and Siegel, Andrew R. Tue .  
"The Random Ray Method for neutral particle transport".  United States.  https://doi.org/10.1016/j.jcp.2017.04.038.

Copy to clipboard


                    
@article{osti_1396736,

  title        = {The Random Ray Method for neutral particle transport},

  author       = {Tramm, John R. and Smith, Kord S. and Forget, Benoit and Siegel, Andrew R.},

  abstractNote = {},

  doi          = {10.1016/j.jcp.2017.04.038},

  journal      = {Journal of Computational Physics},

  number       = C,

  volume       = 342,

  place        = {United States},

  year         = {Tue Aug 01 00:00:00 EDT 2017},

  month        = {Tue Aug 01 00:00:00 EDT 2017}

}

Copy to clipboard

Journal Article:

Free Publicly Available Full Text

Accepted Manuscript (Publisher)

Publisher's Version of Record
https://doi.org/10.1016/j.jcp.2017.04.038

Other availability

Search WorldCat to find libraries that may hold this journal

Citation Metrics:

Cited by: 5 works

Citation information provided by
Web of Science

Save / Share:

Export Metadata

Save to My Library

Similar Records in DOE PAGES and OSTI.GOV collections:

The Random Ray Method for neutral particle transport

Journal Article Tramm, John R., E-mail: jtramm@mit.edu ; Argonne National Laboratory, Mathematics and Computer Science Department 9700 S Cass Ave, Argonne, IL 60439 ; Smith, Kord S., E-mail: kord@mit.edu ; ... - Journal of Computational Physics

A new approach to solving partial differential equations (PDEs) based on the method of characteristics (MOC) is presented. The Random Ray Method (TRRM) uses a stochastic rather than deterministic discretization of characteristic tracks to integrate the phase space of a problem. TRRM is potentially applicable in a number of transport simulation fields where long characteristic methods are used, such as neutron transport and gamma ray transport in reactor physics as well as radiative transfer in astrophysics. In this study, TRRM is developed and then tested on a series of exemplar reactor physics benchmark problems. The results show extreme improvements inmore »« less
https://doi.org/10.1016/J.JCP.2017.04.038
Immortal rays: Rethinking random ray neutron transport on GPU architectures

Journal Article Tramm, John R. ; Siegel, Andrew R. - Parallel Computing

The Random Ray Method (TRRM) is a recently developed adaptation of the Method of Characteristics for neutral particle transport simulations. TRRM has demonstrated excellent performance on 3D nuclear reactor benchmark problems using CPU-based compute systems. When porting to GPU-based systems, however, new performance challenges arise that are unique to processors targeting massive fine-grained parallelism. For smaller problems, or for large problems that are domain decomposed across many computational nodes, the problem size per node has insufficient parallelism to saturate GPU node resources, thus greatly limiting speedup. In this study, we report on a newly developed “immortal ray” variant of TRRM.more »« less
https://doi.org/10.1016/j.parco.2021.102832

Full Text Available
Modeling transport in fractured porous media with the random-walk particle method: The transient activity range and the particle-transfer probability

Journal Article Pan, Lehua ; Bodvarsson, Gudmundur S - Water Resources Research

No abstract prepared.
Full Text Available
Modeling Transport in Fractured Porous Media with the Random-Walk Particle Method: The Transient Activity Range and the Particle-Transfer Probability

Technical Report Pan, Lehua ; Bodvarsson, G S

Multiscale features of transport processes in fractured porous media make numerical modeling a difficult task, both in conceptualization and computation. Modeling the mass transfer through the fracture-matrix interface is one of the critical issues in the simulation of transport in a fractured porous medium. Because conventional dual-continuum-based numerical methods are unable to capture the transient features of the diffusion depth into the matrix (unless they assume a passive matrix medium), such methods will overestimate the transport of tracers through the fractures, especially for the cases with large fracture spacing, resulting in artificial early breakthroughs. We have developed a new methodmore »« less
https://doi.org/10.2172/805566

Full Text Available
ARRC: A random ray neutron transport code for nuclear reactor simulation

Journal Article Tramm, John R. ; Smith, Kord S. ; Forget, Benoit ; ... - Annals of Nuclear Energy (Oxford)

A massively parallel implementation of a recently developed technique for numerically integrating the transport equation, The Random Ray Method (TRRM) (Tramm et al., 2017), is applied to several large reactor benchmark problems. The implementation, which is part of a new development called The Advanced Random Ray Code (ARRC), is one of the first parallel implementations of TRRM. Our goal is to better understand the accuracy and performance characteristics of TRRM on massive scale problems, and to provide community software that facilitates further algorithmic development and potentially its application to a broader class of problems. Key features of ARRC include extrememore »« less
https://doi.org/10.1016/j.anucene.2017.10.015

Similar Records