Numerical benchmarks TRIPOLI − MCNP with use of MCAM on FNG ITER bulk shield and FNG HCLL TBM mock-up experiments
3D Monte Carlo (MC) transport codes are of first importance for the assessment of breeding blankets neutronic performances. This article supported by the EFDA Goal Oriented Training Program Eurobreed presents the difference in results between the CEA MC code TRIPOLI-4 and MCNP on two fusion neutroni...
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| Veröffentlicht in: | Fusion engineering and design 2011-10, Vol.86 (9), p.2135-2138 |
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| creator | Fausser, Clement Lee, Yi-Kang Villari, Rosaria Zeng, Qin Zhang, Junjun Serikov, Arkady Trama, Jean-Christophe Gabriel, Franck |
| description | 3D Monte Carlo (MC) transport codes are of first importance for the assessment of breeding blankets neutronic performances. This article supported by the EFDA Goal Oriented Training Program Eurobreed presents the difference in results between the CEA MC code TRIPOLI-4 and MCNP on two fusion neutronics benchmarks, assessing therefore TRIPOLI-4 calculation capabilities on shielding and tritium production rate (TPR). The first selected benchmark, assessing the shielding capability, is the Frascati neutron generator (FNG) ITER bulk shield experiment whereas the second benchmark, assessing the TPR calculation, is the preliminary design of the FNG helium cooled lithium–lead (HCLL) test blanket module (TBM) mock-up. To ensure the consistency of the geometry description, MCAM tool is used for automatic TRIPOLI
−
MCNP geometry conversions and check. A good coherence between TRIPOLI-4 and MCNP for neutron flux, reaction rates and TPR calculations is obtained. Moreover, it appears that MCAM performs fast, automatic and appropriate TRIPOLI
−
MCNP geometry conversions and finally that the tabulated FNG neutron source model from KIT is appropriate for TRIPOLI-4 calculations. |
| doi_str_mv | 10.1016/j.fusengdes.2011.04.018 |
| format | Article |
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−
MCNP geometry conversions and check. A good coherence between TRIPOLI-4 and MCNP for neutron flux, reaction rates and TPR calculations is obtained. Moreover, it appears that MCAM performs fast, automatic and appropriate TRIPOLI
−
MCNP geometry conversions and finally that the tabulated FNG neutron source model from KIT is appropriate for TRIPOLI-4 calculations.</description><identifier>ISSN: 0920-3796</identifier><identifier>EISSN: 1873-7196</identifier><identifier>DOI: 10.1016/j.fusengdes.2011.04.018</identifier><identifier>CODEN: FEDEEE</identifier><language>eng</language><publisher>Amsterdam: Elsevier B.V</publisher><subject>Applied sciences ; Benchmarks ; Computer simulation ; Controled nuclear fusion plants ; Conversion ; EFDA Eurobreed Eurotrainee program ; Energy ; Energy. Thermal use of fuels ; Exact sciences and technology ; Experimental methods and instrumentation for elementary-particle and nuclear physics ; Frascati neutron generator ; HCLL ; Installations for energy generation and conversion: thermal and electrical energy ; ITER ; Mathematical models ; MCAM ; Monte Carlo methods ; Neutron sources ; Nuclear physics ; Particle sources and targets ; Physics ; Shielding ; Shields ; Three dimensional ; TRIPOLI-4 Monte Carlo code</subject><ispartof>Fusion engineering and design, 2011-10, Vol.86 (9), p.2135-2138</ispartof><rights>2011 Elsevier B.V.</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c378t-85bde853e6ce7a2623f536af0e3f007c69efa6e6c07f795a41ea412732fedc1c3</citedby><cites>FETCH-LOGICAL-c378t-85bde853e6ce7a2623f536af0e3f007c69efa6e6c07f795a41ea412732fedc1c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0920379611004145$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,3537,23909,23910,25118,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25507736$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Fausser, Clement</creatorcontrib><creatorcontrib>Lee, Yi-Kang</creatorcontrib><creatorcontrib>Villari, Rosaria</creatorcontrib><creatorcontrib>Zeng, Qin</creatorcontrib><creatorcontrib>Zhang, Junjun</creatorcontrib><creatorcontrib>Serikov, Arkady</creatorcontrib><creatorcontrib>Trama, Jean-Christophe</creatorcontrib><creatorcontrib>Gabriel, Franck</creatorcontrib><title>Numerical benchmarks TRIPOLI − MCNP with use of MCAM on FNG ITER bulk shield and FNG HCLL TBM mock-up experiments</title><title>Fusion engineering and design</title><description>3D Monte Carlo (MC) transport codes are of first importance for the assessment of breeding blankets neutronic performances. This article supported by the EFDA Goal Oriented Training Program Eurobreed presents the difference in results between the CEA MC code TRIPOLI-4 and MCNP on two fusion neutronics benchmarks, assessing therefore TRIPOLI-4 calculation capabilities on shielding and tritium production rate (TPR). The first selected benchmark, assessing the shielding capability, is the Frascati neutron generator (FNG) ITER bulk shield experiment whereas the second benchmark, assessing the TPR calculation, is the preliminary design of the FNG helium cooled lithium–lead (HCLL) test blanket module (TBM) mock-up. To ensure the consistency of the geometry description, MCAM tool is used for automatic TRIPOLI
−
MCNP geometry conversions and check. A good coherence between TRIPOLI-4 and MCNP for neutron flux, reaction rates and TPR calculations is obtained. Moreover, it appears that MCAM performs fast, automatic and appropriate TRIPOLI
−
MCNP geometry conversions and finally that the tabulated FNG neutron source model from KIT is appropriate for TRIPOLI-4 calculations.</description><subject>Applied sciences</subject><subject>Benchmarks</subject><subject>Computer simulation</subject><subject>Controled nuclear fusion plants</subject><subject>Conversion</subject><subject>EFDA Eurobreed Eurotrainee program</subject><subject>Energy</subject><subject>Energy. Thermal use of fuels</subject><subject>Exact sciences and technology</subject><subject>Experimental methods and instrumentation for elementary-particle and nuclear physics</subject><subject>Frascati neutron generator</subject><subject>HCLL</subject><subject>Installations for energy generation and conversion: thermal and electrical energy</subject><subject>ITER</subject><subject>Mathematical models</subject><subject>MCAM</subject><subject>Monte Carlo methods</subject><subject>Neutron sources</subject><subject>Nuclear physics</subject><subject>Particle sources and targets</subject><subject>Physics</subject><subject>Shielding</subject><subject>Shields</subject><subject>Three dimensional</subject><subject>TRIPOLI-4 Monte Carlo code</subject><issn>0920-3796</issn><issn>1873-7196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkE1u2zAQhYmiBeK6OUO4KdCNFFK0SGnpGvkxIDtB4KwJmhrWtPXjcqS0vUHXOWJPUqYOsi3AAQG-N_M4HyEXnKWccXm5T92I0H2rAdOMcZ6yWcp48Y5MeKFEongp35MJKzOWCFXKM_IRcc8YV_FMCK7HFoK3pqFb6OyuNeGAdPOwvL-rlvTP72e6Wqzv6Q8_7GiMob2LD_MV7Tt6vb6hy83VA92OzYHizkNTU9PV_4TbRVXRzdcVbXt7SMYjhZ_HmNNCN-An8sGZBuH89Z6Sx-urzeI2qe5ulot5lVihiiEp8m0NRS5AWlAmk5lwuZDGMRCOMWVlCc7IqDLlVJmbGYdYmRKZg9pyK6bky2nuMfTfR8BBtx4tNI3poB9Rc6m4EFJFTFOiTlYbesQATh_jZ034pTnTL5j1Xr9h1i-YNZvpiDl2fn4NMRgpumA66_GtPctzppSQ0Tc_-SBu_OQhaLQ-EofaB7CDrnv_36y_3_6WCw</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Fausser, Clement</creator><creator>Lee, Yi-Kang</creator><creator>Villari, Rosaria</creator><creator>Zeng, Qin</creator><creator>Zhang, Junjun</creator><creator>Serikov, Arkady</creator><creator>Trama, Jean-Christophe</creator><creator>Gabriel, Franck</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7TB</scope><scope>7U5</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20111001</creationdate><title>Numerical benchmarks TRIPOLI − MCNP with use of MCAM on FNG ITER bulk shield and FNG HCLL TBM mock-up experiments</title><author>Fausser, Clement ; Lee, Yi-Kang ; Villari, Rosaria ; Zeng, Qin ; Zhang, Junjun ; Serikov, Arkady ; Trama, Jean-Christophe ; Gabriel, Franck</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-85bde853e6ce7a2623f536af0e3f007c69efa6e6c07f795a41ea412732fedc1c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applied sciences</topic><topic>Benchmarks</topic><topic>Computer simulation</topic><topic>Controled nuclear fusion plants</topic><topic>Conversion</topic><topic>EFDA Eurobreed Eurotrainee program</topic><topic>Energy</topic><topic>Energy. Thermal use of fuels</topic><topic>Exact sciences and technology</topic><topic>Experimental methods and instrumentation for elementary-particle and nuclear physics</topic><topic>Frascati neutron generator</topic><topic>HCLL</topic><topic>Installations for energy generation and conversion: thermal and electrical energy</topic><topic>ITER</topic><topic>Mathematical models</topic><topic>MCAM</topic><topic>Monte Carlo methods</topic><topic>Neutron sources</topic><topic>Nuclear physics</topic><topic>Particle sources and targets</topic><topic>Physics</topic><topic>Shielding</topic><topic>Shields</topic><topic>Three dimensional</topic><topic>TRIPOLI-4 Monte Carlo code</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fausser, Clement</creatorcontrib><creatorcontrib>Lee, Yi-Kang</creatorcontrib><creatorcontrib>Villari, Rosaria</creatorcontrib><creatorcontrib>Zeng, Qin</creatorcontrib><creatorcontrib>Zhang, Junjun</creatorcontrib><creatorcontrib>Serikov, Arkady</creatorcontrib><creatorcontrib>Trama, Jean-Christophe</creatorcontrib><creatorcontrib>Gabriel, Franck</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Fusion engineering and design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fausser, Clement</au><au>Lee, Yi-Kang</au><au>Villari, Rosaria</au><au>Zeng, Qin</au><au>Zhang, Junjun</au><au>Serikov, Arkady</au><au>Trama, Jean-Christophe</au><au>Gabriel, Franck</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Numerical benchmarks TRIPOLI − MCNP with use of MCAM on FNG ITER bulk shield and FNG HCLL TBM mock-up experiments</atitle><jtitle>Fusion engineering and design</jtitle><date>2011-10-01</date><risdate>2011</risdate><volume>86</volume><issue>9</issue><spage>2135</spage><epage>2138</epage><pages>2135-2138</pages><issn>0920-3796</issn><eissn>1873-7196</eissn><coden>FEDEEE</coden><abstract>3D Monte Carlo (MC) transport codes are of first importance for the assessment of breeding blankets neutronic performances. This article supported by the EFDA Goal Oriented Training Program Eurobreed presents the difference in results between the CEA MC code TRIPOLI-4 and MCNP on two fusion neutronics benchmarks, assessing therefore TRIPOLI-4 calculation capabilities on shielding and tritium production rate (TPR). The first selected benchmark, assessing the shielding capability, is the Frascati neutron generator (FNG) ITER bulk shield experiment whereas the second benchmark, assessing the TPR calculation, is the preliminary design of the FNG helium cooled lithium–lead (HCLL) test blanket module (TBM) mock-up. To ensure the consistency of the geometry description, MCAM tool is used for automatic TRIPOLI
−
MCNP geometry conversions and check. A good coherence between TRIPOLI-4 and MCNP for neutron flux, reaction rates and TPR calculations is obtained. Moreover, it appears that MCAM performs fast, automatic and appropriate TRIPOLI
−
MCNP geometry conversions and finally that the tabulated FNG neutron source model from KIT is appropriate for TRIPOLI-4 calculations.</abstract><cop>Amsterdam</cop><pub>Elsevier B.V</pub><doi>10.1016/j.fusengdes.2011.04.018</doi><tpages>4</tpages></addata></record> |
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| subjects | Applied sciences Benchmarks Computer simulation Controled nuclear fusion plants Conversion EFDA Eurobreed Eurotrainee program Energy Energy. Thermal use of fuels Exact sciences and technology Experimental methods and instrumentation for elementary-particle and nuclear physics Frascati neutron generator HCLL Installations for energy generation and conversion: thermal and electrical energy ITER Mathematical models MCAM Monte Carlo methods Neutron sources Nuclear physics Particle sources and targets Physics Shielding Shields Three dimensional TRIPOLI-4 Monte Carlo code |
| title | Numerical benchmarks TRIPOLI − MCNP with use of MCAM on FNG ITER bulk shield and FNG HCLL TBM mock-up experiments |
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