Simulation of flow redistribution in 7 × 7 ballooned fuel bundle experiments using DRACCAR code
IRSN has developed DRACCAR code in order to model loss of coolant accidents (LOCA) in a light water nuclear reactor. The physics during a hypothetical loss of coolant accident involves several phenomena such as heat and mass transfers, fluid dynamics, mechanics, and chemistry. Even if a simulation r...
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description | IRSN has developed DRACCAR code in order to model loss of coolant accidents (LOCA) in a light water nuclear reactor. The physics during a hypothetical loss of coolant accident involves several phenomena such as heat and mass transfers, fluid dynamics, mechanics, and chemistry. Even if a simulation requires modeling these conjugated processes, it is important to validate them separately first—for example, fluid dynamics calculations of the flow redistribution after the clad ballooning that can occur during a LOCA. In this paper, we present DRACCAR simulations of the fluid dynamics in two 7 × 7 ballooned bundles with different blockage, two ballooned lengths and with two different flow rates, one laminar and the other turbulent. DRACCAR results for the axial velocities are compared to experimental data obtained by MRI techniques on the MASCARA facility. The present results show that, in most of the sub-channels studied, DRACCAR is capable of predicting correctly the velocity profiles for both bundles and flow rates. In general, DRACCAR provided fairly accurate estimates of the axial velocity, especially for the intact and less-blocked sub-channels. For the most blocked subchannel, DRACCAR is able to estimate the majority of the axial velocity in a margin of ±15% with respect to the MASCARA values, except for the most blocked bundle at laminar flow where only 20% of the calculated velocities were found within this margin.
•Axial velocity inside blocked and non-blocked sub-channels simulated with DRACCAR.•Comparison of numerical data with experimental data obtained by MRV technique.•Good agreement between the DRACCAR calculated velocity and the MASCARA results.•Good accuracy of DRACCAR simulations for the most blocked sub-channel. |
doi_str_mv | 10.1016/j.nucengdes.2022.111888 |
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•Axial velocity inside blocked and non-blocked sub-channels simulated with DRACCAR.•Comparison of numerical data with experimental data obtained by MRV technique.•Good agreement between the DRACCAR calculated velocity and the MASCARA results.•Good accuracy of DRACCAR simulations for the most blocked sub-channel.</description><identifier>ISSN: 0029-5493</identifier><identifier>EISSN: 1872-759X</identifier><identifier>DOI: 10.1016/j.nucengdes.2022.111888</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Clad ballooning ; Engineering Sciences ; Fluids mechanics ; LOCA ; Magnetic Resonance Imaging ; Mechanics ; Nuclear reactor ; Reflooding ; Thermal-hydraulics</subject><ispartof>Nuclear engineering and design, 2022-09, Vol.396, p.111888, Article 111888</ispartof><rights>2022 Elsevier B.V.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2598-3197962d376a54710d0da63c78b7cac5df99ccfc919503b12adbc307c25a9c973</cites><orcidid>0000-0001-5572-1188 ; 0000-0003-0196-2271 ; 0000-0002-4145-7651 ; 0000-0002-2276-8577</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.nucengdes.2022.111888$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,780,784,885,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://hal.univ-lorraine.fr/hal-03921718$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Luna Valencia, J.E.</creatorcontrib><creatorcontrib>Oliveira, A.V.S.</creatorcontrib><creatorcontrib>Glantz, T.</creatorcontrib><creatorcontrib>Labergue, A.</creatorcontrib><creatorcontrib>Leclerc, S.</creatorcontrib><creatorcontrib>Gradeck, M.</creatorcontrib><title>Simulation of flow redistribution in 7 × 7 ballooned fuel bundle experiments using DRACCAR code</title><title>Nuclear engineering and design</title><description>IRSN has developed DRACCAR code in order to model loss of coolant accidents (LOCA) in a light water nuclear reactor. The physics during a hypothetical loss of coolant accident involves several phenomena such as heat and mass transfers, fluid dynamics, mechanics, and chemistry. Even if a simulation requires modeling these conjugated processes, it is important to validate them separately first—for example, fluid dynamics calculations of the flow redistribution after the clad ballooning that can occur during a LOCA. In this paper, we present DRACCAR simulations of the fluid dynamics in two 7 × 7 ballooned bundles with different blockage, two ballooned lengths and with two different flow rates, one laminar and the other turbulent. DRACCAR results for the axial velocities are compared to experimental data obtained by MRI techniques on the MASCARA facility. The present results show that, in most of the sub-channels studied, DRACCAR is capable of predicting correctly the velocity profiles for both bundles and flow rates. In general, DRACCAR provided fairly accurate estimates of the axial velocity, especially for the intact and less-blocked sub-channels. For the most blocked subchannel, DRACCAR is able to estimate the majority of the axial velocity in a margin of ±15% with respect to the MASCARA values, except for the most blocked bundle at laminar flow where only 20% of the calculated velocities were found within this margin.
•Axial velocity inside blocked and non-blocked sub-channels simulated with DRACCAR.•Comparison of numerical data with experimental data obtained by MRV technique.•Good agreement between the DRACCAR calculated velocity and the MASCARA results.•Good accuracy of DRACCAR simulations for the most blocked sub-channel.</description><subject>Clad ballooning</subject><subject>Engineering Sciences</subject><subject>Fluids mechanics</subject><subject>LOCA</subject><subject>Magnetic Resonance Imaging</subject><subject>Mechanics</subject><subject>Nuclear reactor</subject><subject>Reflooding</subject><subject>Thermal-hydraulics</subject><issn>0029-5493</issn><issn>1872-759X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqFkE1OwzAQhS0EEqVwBrxlkeKfJo6XUfgpUiWkAhI7y7Gd4iq1qzgpcBK2PUu5GAlB3TKbkZ7ee5r5ALjEaIIRTq5XE9cq45bahAlBhEwwxmmaHoERThmJWMxfj8EIIcKjeMrpKTgLYYX64WQEiie7bivZWO-gL2FZ-XdYG21DU9ui_ZWtg2y_-_7a7xgsZFV574yGZWsqWLROVwaaj42p7dq4JsA2WLeEN4ssz7MFVF6bc3BSyiqYi789Bi93t8_5LJo_3j_k2TxSJOZpRDFnPCGaskTGU4aRRlomVLG0YEqqWJecK1UqjnmMaIGJ1IWiiHVpyRVndAyuht43WYlNd4-sP4WXVsyyueg1RDnBDKdb3HnZ4FW1D6E25SGAkeixipU4YBU9VjFg7ZLZkDTdK1trahGUNU51zGqjGqG9_bfjB2hXhu0</recordid><startdate>202209</startdate><enddate>202209</enddate><creator>Luna Valencia, J.E.</creator><creator>Oliveira, A.V.S.</creator><creator>Glantz, T.</creator><creator>Labergue, A.</creator><creator>Leclerc, S.</creator><creator>Gradeck, M.</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>AAYXX</scope><scope>CITATION</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0001-5572-1188</orcidid><orcidid>https://orcid.org/0000-0003-0196-2271</orcidid><orcidid>https://orcid.org/0000-0002-4145-7651</orcidid><orcidid>https://orcid.org/0000-0002-2276-8577</orcidid></search><sort><creationdate>202209</creationdate><title>Simulation of flow redistribution in 7 × 7 ballooned fuel bundle experiments using DRACCAR code</title><author>Luna Valencia, J.E. ; Oliveira, A.V.S. ; Glantz, T. ; Labergue, A. ; Leclerc, S. ; Gradeck, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2598-3197962d376a54710d0da63c78b7cac5df99ccfc919503b12adbc307c25a9c973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Clad ballooning</topic><topic>Engineering Sciences</topic><topic>Fluids mechanics</topic><topic>LOCA</topic><topic>Magnetic Resonance Imaging</topic><topic>Mechanics</topic><topic>Nuclear reactor</topic><topic>Reflooding</topic><topic>Thermal-hydraulics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Luna Valencia, J.E.</creatorcontrib><creatorcontrib>Oliveira, A.V.S.</creatorcontrib><creatorcontrib>Glantz, T.</creatorcontrib><creatorcontrib>Labergue, A.</creatorcontrib><creatorcontrib>Leclerc, S.</creatorcontrib><creatorcontrib>Gradeck, M.</creatorcontrib><collection>CrossRef</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Nuclear engineering and design</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Luna Valencia, J.E.</au><au>Oliveira, A.V.S.</au><au>Glantz, T.</au><au>Labergue, A.</au><au>Leclerc, S.</au><au>Gradeck, M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation of flow redistribution in 7 × 7 ballooned fuel bundle experiments using DRACCAR code</atitle><jtitle>Nuclear engineering and design</jtitle><date>2022-09</date><risdate>2022</risdate><volume>396</volume><spage>111888</spage><pages>111888-</pages><artnum>111888</artnum><issn>0029-5493</issn><eissn>1872-759X</eissn><abstract>IRSN has developed DRACCAR code in order to model loss of coolant accidents (LOCA) in a light water nuclear reactor. The physics during a hypothetical loss of coolant accident involves several phenomena such as heat and mass transfers, fluid dynamics, mechanics, and chemistry. Even if a simulation requires modeling these conjugated processes, it is important to validate them separately first—for example, fluid dynamics calculations of the flow redistribution after the clad ballooning that can occur during a LOCA. In this paper, we present DRACCAR simulations of the fluid dynamics in two 7 × 7 ballooned bundles with different blockage, two ballooned lengths and with two different flow rates, one laminar and the other turbulent. DRACCAR results for the axial velocities are compared to experimental data obtained by MRI techniques on the MASCARA facility. The present results show that, in most of the sub-channels studied, DRACCAR is capable of predicting correctly the velocity profiles for both bundles and flow rates. In general, DRACCAR provided fairly accurate estimates of the axial velocity, especially for the intact and less-blocked sub-channels. For the most blocked subchannel, DRACCAR is able to estimate the majority of the axial velocity in a margin of ±15% with respect to the MASCARA values, except for the most blocked bundle at laminar flow where only 20% of the calculated velocities were found within this margin.
•Axial velocity inside blocked and non-blocked sub-channels simulated with DRACCAR.•Comparison of numerical data with experimental data obtained by MRV technique.•Good agreement between the DRACCAR calculated velocity and the MASCARA results.•Good accuracy of DRACCAR simulations for the most blocked sub-channel.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.nucengdes.2022.111888</doi><orcidid>https://orcid.org/0000-0001-5572-1188</orcidid><orcidid>https://orcid.org/0000-0003-0196-2271</orcidid><orcidid>https://orcid.org/0000-0002-4145-7651</orcidid><orcidid>https://orcid.org/0000-0002-2276-8577</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Clad ballooning Engineering Sciences Fluids mechanics LOCA Magnetic Resonance Imaging Mechanics Nuclear reactor Reflooding Thermal-hydraulics |
title | Simulation of flow redistribution in 7 × 7 ballooned fuel bundle experiments using DRACCAR code |
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