<?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>2026-09-18T21:15:38Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/151858" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/151858</identifier><datestamp>2023-08-24T03:40:45Z</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">Triantafyllou, Michael S.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Ronglan, Edvard</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Mechanical Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2023-08-23T16:13:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2023-08-23T16:13:58Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2023-06</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023-07-19T18:45:40.163Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/151858</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">Coastal erosion threatens communities close to the shore worldwide, and it has become&#xd;
a significant concern in recent years due to increased sea levels and storm frequency&#xd;
driven by global warming. In the search for effective methods to prevent these effects,&#xd;
natural coral reefs have demonstrated comparable wave energy dissipation to artificial&#xd;
defenses while also providing a positive influence on the ocean ecosystem. Therefore,&#xd;
this thesis presents an artificial reef structure with a drag coefficient that is an order of magnitude higher than that of single structures, which positively impacts the&#xd;
ocean ecosystem by providing shelter for marine species. Energy dissipation was maximized using Bayesian optimization in combination with Cartesian-grid simulations&#xd;
and towing tank experiments. To ensure the structure’s strength, ease of implementation, and biocompatibility, the reef structures were designed to be porous. Finally,&#xd;
the complete artificial reef was constructed and tested in a towing tank with waves&#xd;
to assess its energy dissipation capabilities.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">S.M.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
   <dim:field mdschema="dc" element="rights">Copyright retained by author(s)</dim:field>
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   <dim:field mdschema="dc" element="title">Bayesian optimization and Cartesian-grid simulations for artificial reef design</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree">Master</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Science in Mechanical Engineering</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Science in Electrical Engineering and Computer Science</dim:field>
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   	&lt;Title>Bayesian optimization and Cartesian-grid simulations for artificial reef design&lt;/Title>
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   	&lt;PublicationDate>2023-06&lt;/PublicationDate>
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        	&lt;DisplayName>Ronglan, Edvard&lt;/DisplayName>
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            &lt;DisplayName>Massachusetts Institute of Technology&lt;/DisplayName>
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   	&lt;Abstract>Coastal erosion threatens communities close to the shore worldwide, and it has become&#xd;
a significant concern in recent years due to increased sea levels and storm frequency&#xd;
driven by global warming. In the search for effective methods to prevent these effects,&#xd;
natural coral reefs have demonstrated comparable wave energy dissipation to artificial&#xd;
defenses while also providing a positive influence on the ocean ecosystem. Therefore,&#xd;
this thesis presents an artificial reef structure with a drag coefficient that is an order of magnitude higher than that of single structures, which positively impacts the&#xd;
ocean ecosystem by providing shelter for marine species. Energy dissipation was maximized using Bayesian optimization in combination with Cartesian-grid simulations&#xd;
and towing tank experiments. To ensure the structure’s strength, ease of implementation, and biocompatibility, the reef structures were designed to be porous. Finally,&#xd;
the complete artificial reef was constructed and tested in a towing tank with waves&#xd;
to assess its energy dissipation capabilities.&lt;/Abstract>
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