2015
DOI: 10.1016/j.fusengdes.2015.06.114
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Neutronics experiments, radiation detectors and nuclear techniques development in the EU in support of the TBM design for ITER

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Cited by 12 publications
(5 citation statements)
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“…The SUSD3D code was used since early 1990s for very various applications, such as: reactor pressure vessel surveillance dosimetry [3]: uncertainty in predicted dosimeter reaction rates and pressure vessel exposition, determination of realistic safety margins and consequently the reactor lifetime predictions; -fission shielding benchmarks [3]: sensitivity and uncertainty in the measured reaction rates were calculated for the several benchmarks from the SINBAD database, such as the ASPIS Iron, ASPIS Iron88 and VENUS-3 pressure vessel dosimetry benchmark; sensitivity/uncertainty pre-and post-analysis of the fusion shielding benchmarks performed at the Frascatti Neutron Generator (FNG) at ENEA Frascatti (sensitivity/uncertainty of the measured fast/thermal activation rates and the tritium production in FNG-Bulk Shield benchmark, FNG-Streaming, FNG-SiC, FNG-Tungsten [5], FNG HCPB and FNG-HCLL tritium breeding modules [6,7] and FNG Copper [8,9] benchmarks); criticality benchmarks (sensitivity to k eff and b eff ): many benchmarks from IRPhE and ICSBEP (KRITZ-2 [10], SNEAK-7A and À7B [11], VENUS-2, etc. ), MYRRHA reactor [12], etc.…”
Section: Examples Of Applicationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The SUSD3D code was used since early 1990s for very various applications, such as: reactor pressure vessel surveillance dosimetry [3]: uncertainty in predicted dosimeter reaction rates and pressure vessel exposition, determination of realistic safety margins and consequently the reactor lifetime predictions; -fission shielding benchmarks [3]: sensitivity and uncertainty in the measured reaction rates were calculated for the several benchmarks from the SINBAD database, such as the ASPIS Iron, ASPIS Iron88 and VENUS-3 pressure vessel dosimetry benchmark; sensitivity/uncertainty pre-and post-analysis of the fusion shielding benchmarks performed at the Frascatti Neutron Generator (FNG) at ENEA Frascatti (sensitivity/uncertainty of the measured fast/thermal activation rates and the tritium production in FNG-Bulk Shield benchmark, FNG-Streaming, FNG-SiC, FNG-Tungsten [5], FNG HCPB and FNG-HCLL tritium breeding modules [6,7] and FNG Copper [8,9] benchmarks); criticality benchmarks (sensitivity to k eff and b eff ): many benchmarks from IRPhE and ICSBEP (KRITZ-2 [10], SNEAK-7A and À7B [11], VENUS-2, etc. ), MYRRHA reactor [12], etc.…”
Section: Examples Of Applicationsmentioning
confidence: 99%
“…An example of the use of different copper and iron covariance evaluations is shown in Tables 2 and 3, respectively. More details can be found in references [8] and [9].…”
Section: Mf33 Covariance Matricesmentioning
confidence: 99%
“…Other detectors are considered elsewhere [9]. The activation reactions are selected to cover the energy range from thermal to fast neutrons.…”
Section: Reaction Rates In Activation Foilsmentioning
confidence: 99%
“…It ought to be stressed that presently there is not instrumentation ready to withstand the harsh working condition of fusion reactors and research is ongoing to develop suitable detectors to operate in fusion 2020 JINST 15 P03031 machine environments [7]. A discussion about the requirements and constrains to be fulfilled by these nuclear detectors is reported in [8].…”
Section: Introductionmentioning
confidence: 99%