Bayesian optimization and Cartesian-grid simulations for artificial reef design
Name
ronglan_eronglan_sm_meche_2023_thesis.pdf
Description
Thesis PDF
Size
40.99 MB
Format
Adobe PDF
Checksum (MD5)
01ca6a8b2667b72cd097112d1f20dcb8
Author(s)
Ronglan, Edvard
Advisor(s)
Triantafyllou, Michael S.
Date Issued
June 2023
Publisher
Massachusetts Institute of Technology
Abstract
Coastal erosion threatens communities close to the shore worldwide, and it has become
a significant concern in recent years due to increased sea levels and storm frequency
driven by global warming. In the search for effective methods to prevent these effects,
natural coral reefs have demonstrated comparable wave energy dissipation to artificial
defenses while also providing a positive influence on the ocean ecosystem. Therefore,
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
ocean ecosystem by providing shelter for marine species. Energy dissipation was maximized using Bayesian optimization in combination with Cartesian-grid simulations
and towing tank experiments. To ensure the structure’s strength, ease of implementation, and biocompatibility, the reef structures were designed to be porous. Finally,
the complete artificial reef was constructed and tested in a towing tank with waves
to assess its energy dissipation capabilities.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Department of Mechanical Engineering
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