<?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>2026-09-19T04:48:52Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/104188" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/104188</identifier><datestamp>2026-06-06T00:55:00Z</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">Corentin Fivet and John Ochsendorf.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Cerri, Steven, M. Eng Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department 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">2016-09-13T19:10:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-09-13T19:10:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2016</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/104188</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">958136656</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2016.</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 (pages 44).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Robustness varies highly between applications and consequently it is difficult to precisely quantify. However, robustness is a property of a structural system and thus can be described as a function of its form; in other words, as a function of topology, geometry and member properties. This thesis investigates the relationship between both a structure's geometry and topology, and robustness. Two quantitative metrics are proposed to quantify a structure's robustness as a function of geometry. The first metric is a measure of a member's importance relative to others in the redundancy of a structural system. The second metric characterizes the robustness efficiency of the entire structure. These metrics are developed using a novel analysis method coupled with an interactive MATLAB script which infers properties of a redundant structure through the analysis of its stable substructures. Together, these metrics give designers a powerful tool to evaluate the robustness of their preliminary structural design based soled on geometry and static equilibrium. Moreover, using these metrics, geometry optimization techniques are then implemented to discover robust structural geometries for given topologies and the general parameters that describe them.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Steven Cerri.</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">44 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">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Definitions of robust structural geometries : metrics and form finding</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Definitions of robust structural geometries : metrics and form finding&lt;/Title>
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   	&lt;PublicationDate>2016&lt;/PublicationDate>
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        	&lt;DisplayName>Cerri, Steven, M. Eng Massachusetts Institute of Technology&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>Robustness varies highly between applications and consequently it is difficult to precisely quantify. However, robustness is a property of a structural system and thus can be described as a function of its form; in other words, as a function of topology, geometry and member properties. This thesis investigates the relationship between both a structure&amp;apos;s geometry and topology, and robustness. Two quantitative metrics are proposed to quantify a structure&amp;apos;s robustness as a function of geometry. The first metric is a measure of a member&amp;apos;s importance relative to others in the redundancy of a structural system. The second metric characterizes the robustness efficiency of the entire structure. These metrics are developed using a novel analysis method coupled with an interactive MATLAB script which infers properties of a redundant structure through the analysis of its stable substructures. Together, these metrics give designers a powerful tool to evaluate the robustness of their preliminary structural design based soled on geometry and static equilibrium. Moreover, using these metrics, geometry optimization techniques are then implemented to discover robust structural geometries for given topologies and the general parameters that describe them.&lt;/Abstract>
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