Statistical modelling of graphite brick cracking in advanced gas-cooled reactors
Graphite cores in advanced gas-cooled nuclear reactors contain bricks which are subject to cracking and periodic inspections provide information on the state of a sample of the bricks. Statistical models are fitted to the historic data and used to predict the numbers of cracked bricks that are expec...
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| Veröffentlicht in: | Applied statistics 2011-05, Vol.60 (3), p.339-353 |
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| container_title | Applied statistics |
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| creator | Maul, Philip R. Robinson, Peter C. Northrop, Paul J. |
| description | Graphite cores in advanced gas-cooled nuclear reactors contain bricks which are subject to cracking and periodic inspections provide information on the state of a sample of the bricks. Statistical models are fitted to the historic data and used to predict the numbers of cracked bricks that are expected to be seen at reactor inspections. As more data have become available the complexity of the best performing models has increased. By repeatedly making blind predictions of core behaviour the predictive performance of the models can be quantified and they can then be used to forecast behaviour of the core over longer periods. |
| doi_str_mv | 10.1111/j.1467-9876.2010.00745.x |
| format | Article |
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Robinson, Peter C. ; Northrop, Paul J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5475-eb0e15f01fae0fe1dc3dcbb40c512ea572da22a2de498bbe4625aa43c11fa9303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Applications</topic><topic>Blind predictions</topic><topic>Bricks</topic><topic>Density distributions</topic><topic>Exact sciences and technology</topic><topic>Gas cooled reactors</topic><topic>Graphite</topic><topic>Inference from stochastic processes; time series analysis</topic><topic>Mathematical independent variables</topic><topic>Mathematics</topic><topic>Model performance</topic><topic>Modeling</topic><topic>Nuclear reactors</topic><topic>Parametric models</topic><topic>Power laws</topic><topic>Predictive modeling</topic><topic>Probability and statistics</topic><topic>Probability theory and stochastic processes</topic><topic>Sciences and techniques of general use</topic><topic>Statistical analysis</topic><topic>Statistical models</topic><topic>Statistics</topic><topic>Stochastic processes</topic><topic>Studies</topic><topic>System variability</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maul, Philip R.</creatorcontrib><creatorcontrib>Robinson, Peter C.</creatorcontrib><creatorcontrib>Northrop, Paul J.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>RePEc IDEAS</collection><collection>RePEc</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>International Bibliography of the Social Sciences (IBSS)</collection><collection>Technology Research Database</collection><collection>International Bibliography of the Social Sciences</collection><collection>International Bibliography of the Social Sciences</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Applied statistics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maul, Philip R.</au><au>Robinson, Peter C.</au><au>Northrop, Paul J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Statistical modelling of graphite brick cracking in advanced gas-cooled reactors</atitle><jtitle>Applied statistics</jtitle><date>2011-05</date><risdate>2011</risdate><volume>60</volume><issue>3</issue><spage>339</spage><epage>353</epage><pages>339-353</pages><issn>0035-9254</issn><eissn>1467-9876</eissn><coden>APSTAG</coden><abstract>Graphite cores in advanced gas-cooled nuclear reactors contain bricks which are subject to cracking and periodic inspections provide information on the state of a sample of the bricks. 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| ispartof | Applied statistics, 2011-05, Vol.60 (3), p.339-353 |
| issn | 0035-9254 1467-9876 |
| language | eng |
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| source | RePEc; JSTOR Mathematics & Statistics; EBSCOhost Business Source Complete; Access via Wiley Online Library; JSTOR Archive Collection A-Z Listing; Oxford University Press Journals All Titles (1996-Current) |
| subjects | Applications Blind predictions Bricks Density distributions Exact sciences and technology Gas cooled reactors Graphite Inference from stochastic processes time series analysis Mathematical independent variables Mathematics Model performance Modeling Nuclear reactors Parametric models Power laws Predictive modeling Probability and statistics Probability theory and stochastic processes Sciences and techniques of general use Statistical analysis Statistical models Statistics Stochastic processes Studies System variability |
| title | Statistical modelling of graphite brick cracking in advanced gas-cooled reactors |
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