<?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>2026-09-19T00:17:32Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/66832" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/66832</identifier><datestamp>2022-01-13T07:54:23Z</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">Jerome J. Connor.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Gillis, Andrew Nicholas</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2011-11-01T19:50:17Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2011-11-01T19:50:17Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2011</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/66832</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">757545720</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2011.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 54-55).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">The social and political climate of the modern world has lead to increased concern over the ability of engineered structures to resist blast events which may be incurred during terrorist attacks. While blast resistance design has been prominent for years in the industrial and military setting, it is starting to gain importance for structures which have been traditionally designed for aesthetics and which have high occupancy density. In these situations it is important that not only materials but the geometry of the building be optimized to reduce the effects of such an attack. However, designing a structure only for prescribed code requirements does not necessarily give a prediction of the post-blast behavior of the structure. Similar to the use of performance-based engineering for seismic events, the effects on a structure designed for blast loading should not be speculative but rather should exhibit expected behavior which is appropriate for the parameters of the given blast. Accounting for uncertainty of a potential blast event by assessing the structure in a probabilistic approach may lead to a more prudent and predictable assessment of damage and loss for the owner. The work herein attempts to provide an overview of the precedent of use of probabilistic methods in structural engineering, the current state of practice in blast engineering and set forth a framework and example by which probabilistic methods may be extended to blast considerations.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Andrew Nicholas Gillis.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">55 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 
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">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Use of probabilistic methods in evaluating blast performance of structures</dim:field>
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   	&lt;Title>Use of probabilistic methods in evaluating blast performance of structures&lt;/Title>
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   	&lt;PublicationDate>2011&lt;/PublicationDate>
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        	&lt;DisplayName>Gillis, Andrew Nicholas&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>The social and political climate of the modern world has lead to increased concern over the ability of engineered structures to resist blast events which may be incurred during terrorist attacks. While blast resistance design has been prominent for years in the industrial and military setting, it is starting to gain importance for structures which have been traditionally designed for aesthetics and which have high occupancy density. In these situations it is important that not only materials but the geometry of the building be optimized to reduce the effects of such an attack. However, designing a structure only for prescribed code requirements does not necessarily give a prediction of the post-blast behavior of the structure. Similar to the use of performance-based engineering for seismic events, the effects on a structure designed for blast loading should not be speculative but rather should exhibit expected behavior which is appropriate for the parameters of the given blast. Accounting for uncertainty of a potential blast event by assessing the structure in a probabilistic approach may lead to a more prudent and predictable assessment of damage and loss for the owner. The work herein attempts to provide an overview of the precedent of use of probabilistic methods in structural engineering, the current state of practice in blast engineering and set forth a framework and example by which probabilistic methods may be extended to blast considerations.&lt;/Abstract>
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