TY - JOUR
T1 - SERPENT validation and optimization with mesh adaptive search on stereolithography geometry models
AU - Talamo, Alberto
AU - Gohar, Yousry
AU - Leppänen, Jaakko
N1 - Funding Information:
This work is supported by the U.S. Department of Energy , Office of Material Management and Minimization (M3), National Nuclear Security Administration . The authors thank Dr. Manuele Aufiero ( University of California Berkeley) for the fruitful discussions about STL geometry.
Funding Information:
The authors thank Dr. Manuele Aufiero (University of California Berkeley) for the fruitful discussions about STL geometry.
Publisher Copyright:
© 2018
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/5/1
Y1 - 2018/5/1
N2 - The SERPENT Monte Carlo code has the unique capability to simulate neutron and gamma transport using a stereolithography (STL) geometry. The STL geometry can model irregular complex geometries often encountered, for example, in research reactors. This geometry type can be used in combination with an unstructured mesh-based interface to couple SERPENT to OpenFOAM for CFD analyses. The STL file format also allows printing the geometry model with 3D printers. This work validates SERPENT simulations based on the STL geometry using the GIACINT critical experimental facility and the YALINA Thermal subcritical experimental facility. The results and performances of SERPENT have been compared with those of the well-known MCNP code. Finally, SERPENT computing time has been significantly reduced by using its mesh adaptive search algorithm, which has been introduced to optimize simulations based on the stereolithography STL geometry, and a hybrid modeling that mixes combinatorial and STL geometries. In this work, the STL geometry model of SERPENT involved the use of multiple software and programming languages, including: CUBIT, PYTHON, C, and MATLAB.
AB - The SERPENT Monte Carlo code has the unique capability to simulate neutron and gamma transport using a stereolithography (STL) geometry. The STL geometry can model irregular complex geometries often encountered, for example, in research reactors. This geometry type can be used in combination with an unstructured mesh-based interface to couple SERPENT to OpenFOAM for CFD analyses. The STL file format also allows printing the geometry model with 3D printers. This work validates SERPENT simulations based on the STL geometry using the GIACINT critical experimental facility and the YALINA Thermal subcritical experimental facility. The results and performances of SERPENT have been compared with those of the well-known MCNP code. Finally, SERPENT computing time has been significantly reduced by using its mesh adaptive search algorithm, which has been introduced to optimize simulations based on the stereolithography STL geometry, and a hybrid modeling that mixes combinatorial and STL geometries. In this work, the STL geometry model of SERPENT involved the use of multiple software and programming languages, including: CUBIT, PYTHON, C, and MATLAB.
KW - ABAQUS
KW - CUBIT
KW - Stereolithography
KW - Tetrahedron
KW - Unstructured mesh
UR - http://www.scopus.com/inward/record.url?scp=85042197780&partnerID=8YFLogxK
U2 - 10.1016/j.anucene.2018.01.012
DO - 10.1016/j.anucene.2018.01.012
M3 - Article
AN - SCOPUS:85042197780
VL - 115
SP - 619
EP - 632
JO - Annals of Nuclear Energy
JF - Annals of Nuclear Energy
SN - 0306-4549
ER -