<?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>2026-09-21T17:18:25Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/92083" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/92083</identifier><datestamp>2022-01-13T07:55:22Z</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">Alexander H. Slocum and Ronald G. Ballinger.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Jonart, Douglas E. (Douglas Edward)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2014-12-08T18:47:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2014-12-08T18:47:41Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2014</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/92083</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">895657721</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng. in Naval Construction and Engineering, Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2014.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis. "June 2014."</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 46-47).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Submarine propulsion shafts have demonstrated acceptable reliability performance when inspected and refurbished at least every 6 years. Designers wish to extend the inspection interval to 12 years without sacrificing reliability. This interval is unprecedented, as no known submarine shafting system is currently operated with this inspection cycle, nor are any known commercial vessel shafts. Experience and improved design have eliminated many threats to the life of a submarine shaft, but inspections of existing shafts show a high percentage with signs of wetting, leaving designers with less-than-acceptable confidence to approve this longer inspection interval due to the possibility of corrosion fatigue failure. This thesis uses probabilistic models from literature for pitting and cracking of wetted shafts, along with Monte Carlo simulations, to predict results of shafts inspections. Each possible water ingress distribution is analyzed by simulating shafts under 6 years of exposure to the water ingress, pitting, and cracking models in order to estimate the effects of corrosion fatigue. A water ingress distribution that predicts inspection results closest to actual inspection results is identified. Some information about water ingress is inferred from this distribution. Next, using the same literature models, a water ingress distribution that predicts similar performance at 12 years is identified. It is shown that the time a shaft is in service prior to becoming wetted must increase substantially. Predicted failure rates are low, but they are still higher than acceptable. This thesis recommends that inspection procedures are updated to provide more robust information for future analyses, which would better identify the appropriate distributions and greatly reduce uncertainty.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Douglas E. Jonart.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M. Eng. in Naval Construction and Engineering</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">51 pages</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 copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written 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">Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Submarine propulsion shaft life : probabilistic prediction and extension through prevention of water ingress</dim:field>
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   	&lt;Title>Submarine propulsion shaft life : probabilistic prediction and extension through prevention of water ingress&lt;/Title>
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   	&lt;PublicationDate>2014&lt;/PublicationDate&gt;
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        	&lt;DisplayName>Jonart, Douglas E. (Douglas Edward)&lt;/DisplayName>
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    &lt;Keyword>Materials Science and Engineering.&lt;/Keyword>
   	&lt;Abstract>Submarine propulsion shafts have demonstrated acceptable reliability performance when inspected and refurbished at least every 6 years. Designers wish to extend the inspection interval to 12 years without sacrificing reliability. This interval is unprecedented, as no known submarine shafting system is currently operated with this inspection cycle, nor are any known commercial vessel shafts. Experience and improved design have eliminated many threats to the life of a submarine shaft, but inspections of existing shafts show a high percentage with signs of wetting, leaving designers with less-than-acceptable confidence to approve this longer inspection interval due to the possibility of corrosion fatigue failure. This thesis uses probabilistic models from literature for pitting and cracking of wetted shafts, along with Monte Carlo simulations, to predict results of shafts inspections. Each possible water ingress distribution is analyzed by simulating shafts under 6 years of exposure to the water ingress, pitting, and cracking models in order to estimate the effects of corrosion fatigue. A water ingress distribution that predicts inspection results closest to actual inspection results is identified. Some information about water ingress is inferred from this distribution. Next, using the same literature models, a water ingress distribution that predicts similar performance at 12 years is identified. It is shown that the time a shaft is in service prior to becoming wetted must increase substantially. Predicted failure rates are low, but they are still higher than acceptable. This thesis recommends that inspection procedures are updated to provide more robust information for future analyses, which would better identify the appropriate distributions and greatly reduce uncertainty.&lt;/Abstract>
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