2013
DOI: 10.1016/j.fusengdes.2013.07.010
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Benchmarking of the 3-D CAD-based Discrete Ordinates code “ATTILA” for dose rate calculations against experiments and Monte Carlo calculations

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Cited by 8 publications
(3 citation statements)
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“…The 3-D, FEM, Discrete Ordinates code, ATTILA [8][9], has been utilized to undertake the required nuclear analysis. The serial version and the distributed memory parallel (DMP) version of ATTILA-7.1.0 and ATTILA-7.2.0 have been used along with the FENDL2.1/FORNAX and the ICRP-74 flux-todose conversion factor [10] data bases.…”
Section: Calculation Procedures and Computational Tool And Parametersmentioning
confidence: 99%
“…The 3-D, FEM, Discrete Ordinates code, ATTILA [8][9], has been utilized to undertake the required nuclear analysis. The serial version and the distributed memory parallel (DMP) version of ATTILA-7.1.0 and ATTILA-7.2.0 have been used along with the FENDL2.1/FORNAX and the ICRP-74 flux-todose conversion factor [10] data bases.…”
Section: Calculation Procedures and Computational Tool And Parametersmentioning
confidence: 99%
“…Later, Oak Ridge National Laboratory following the steps of the Los Alamos National Laboratory developed ANISN, DORT and TORT [Rhoades and Simpson, 1997]. More recently, with the continuous improvement of the computing and parallelization technologies, other parallelized codes have appeared like PARTISN [Alcouffe et al, 2005], DRAGON [Marleau et al, 2008], ARES [Chen et al, 2017], DENOVO [Evans et al, 2010], ATTILA [Youssef et al, 2013] and TITAN [Yi, 2009].…”
Section: Discrete Ordinates Methodsmentioning
confidence: 99%
“…There are not several codes that make use of the P N formulation, some examples of them are EVENT [Ziver et al, 2005], FESH [Blomquist, 1979], TEPFEM [Cao and Wu, 2004] or the code developed by [Capilla et al, 2008]. S N method is more commonly used and it can be found implemented in codes such as, DORT/TORT [Rhoades and Childs, 1993], DANTSYS [Alcouffe et al, 1995], PEN-TRAN [Sjoden and Haghighat, 1997] or more recently using masive parallelization, PARTISN [Alcouffe et al, 2005], DRAGON [Marleau et al, 2008], ARES [Chen et al, 2017], DENOVO [Evans et al, 2010], ATTILA [Youssef et al, 2013] and TITAN [Yi, 2009].…”
Section: The Transport Equationmentioning
confidence: 99%