<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-19T06:26:40Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/41313" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/41313</identifier><datestamp>2026-06-11T16:06:37Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">George A. Apostolakis.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Debesse, Laurène</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Nuclear Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Technology and Policy Program</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2008-10-02T19:16:37Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2008-10-02T19:16:37Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2007</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/41313</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">214328732</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Nuclear Science and Engineering; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program, 2007.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 103-106).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The licensing of nuclear power plants has focused until now on Light Water Reactors and has not incorporated systematically insights and benefits from Probabilistic Risk Assessment (PRA). With the goal of making the licensing process more efficient, predictable and stable for advanced reactors, the U.S. Nuclear Regulatory Commission (USNRC) has recently drafted a risk-informed and technology-neutral framework for new plant licensing. The Commission expects that advanced nuclear power plants will show enhanced margins of safety, and that advanced reactor designs will comply with the Commission's Safety Goal Policy Statement. In order to meet these expectations, PRA tools are currently being considered; among them are frequency-consequence (F-C) curves, which plot the frequency of having C or more consequences (fatalities, injuries, dollars, dose...) against the consequences C. The present research analyzes the role and the usefulness of such curves in risk-informing the licensing process in the U.S., and shows that their use allows the implementation of both structuralist and rationalist Defense-In-Depth. The second part of this work concentrates on F-C curves as a mean to assess and limit societal risk. Such tools would improve the safety of current plants by allowing the regulator to focus its attention on the plants that pose the highest societal risks in events such as power uprates.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Laurène Debesse.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">111 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by &#xd;
copyright. They may be viewed from this source for any purpose, but &#xd;
reproduction or distribution in any format is prohibited without written &#xd;
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Nuclear Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Technology and Policy Program.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">The use for frequency-consequence curves in future reactor licensing</dim:field>
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   	&lt;Title>The use for frequency-consequence curves in future reactor licensing&lt;/Title>
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   	&lt;PublicationDate>2007&lt;/PublicationDate>
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        	&lt;DisplayName>Debesse, Laurène&lt;/DisplayName>
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    &lt;Keyword>Nuclear Science and Engineering.&lt;/Keyword>
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   	&lt;Abstract>The licensing of nuclear power plants has focused until now on Light Water Reactors and has not incorporated systematically insights and benefits from Probabilistic Risk Assessment (PRA). With the goal of making the licensing process more efficient, predictable and stable for advanced reactors, the U.S. Nuclear Regulatory Commission (USNRC) has recently drafted a risk-informed and technology-neutral framework for new plant licensing. The Commission expects that advanced nuclear power plants will show enhanced margins of safety, and that advanced reactor designs will comply with the Commission&amp;apos;s Safety Goal Policy Statement. In order to meet these expectations, PRA tools are currently being considered; among them are frequency-consequence (F-C) curves, which plot the frequency of having C or more consequences (fatalities, injuries, dollars, dose...) against the consequences C. The present research analyzes the role and the usefulness of such curves in risk-informing the licensing process in the U.S., and shows that their use allows the implementation of both structuralist and rationalist Defense-In-Depth. The second part of this work concentrates on F-C curves as a mean to assess and limit societal risk. Such tools would improve the safety of current plants by allowing the regulator to focus its attention on the plants that pose the highest societal risks in events such as power uprates.&lt;/Abstract>
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