<?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>2026-09-19T03:30:51Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/111524" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/111524</identifier><datestamp>2026-06-06T00:55:08Z</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">Caitlin T. Mueller.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">McHugh, Anthony Benjamin</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">2017-09-15T15:37:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2017-09-15T15:37:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2017</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/111524</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1003324364</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: M. Eng., Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2017.</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 61-62).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Computational tools allow designers to consider vast amounts of information when designing structures; however, without intuitive ways to visualize and model this data it is of little use in the creative process. In this thesis, the context for the use of computational design tools is established through a brief review of methods of incorporating structural optimization into conceptual design. Then, a novel method of visualizing variable sensitivity is presented in a way that complements established methods of interactive optimization. The technique depends upon local sampling of the design space, which reveals the behavior of quantitative structural and architectural objectives to variations in geometric parameters. Two case studies are given to demonstrate the different forms the visualizations may take and how a designer might choose to interpret those forms. The visualization technique and design approach contribute to modern practices in high-performance structural design by revealing significant behaviors of structures during the conceptual design stage.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Anthony Benjamin McHugh.</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">62 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">MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Visualizing variable sensitivity in structural design</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Visualizing variable sensitivity in structural design&lt;/Title>
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   	&lt;PublicationDate>2017&lt;/PublicationDate>
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        	&lt;DisplayName>McHugh, Anthony Benjamin&lt;/DisplayName>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>Computational tools allow designers to consider vast amounts of information when designing structures; however, without intuitive ways to visualize and model this data it is of little use in the creative process. In this thesis, the context for the use of computational design tools is established through a brief review of methods of incorporating structural optimization into conceptual design. Then, a novel method of visualizing variable sensitivity is presented in a way that complements established methods of interactive optimization. The technique depends upon local sampling of the design space, which reveals the behavior of quantitative structural and architectural objectives to variations in geometric parameters. Two case studies are given to demonstrate the different forms the visualizations may take and how a designer might choose to interpret those forms. The visualization technique and design approach contribute to modern practices in high-performance structural design by revealing significant behaviors of structures during the conceptual design stage.&lt;/Abstract>
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