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dc.contributor.advisorTriantafyllou, Michael S.
dc.contributor.authorSinha, Anjali
dc.date.accessioned2024-09-16T13:52:00Z
dc.date.available2024-09-16T13:52:00Z
dc.date.issued2024-05
dc.date.submitted2024-07-11T14:36:39.965Z
dc.identifier.urihttps://hdl.handle.net/1721.1/156835
dc.description.abstractThe mitigation of exacerbated coastal erosion and reef degradation warrants thorough examination and enhancement of existing coastal defense strategies. Severe threats to ecosystems, communities, and infrastructure from climate change, including rising sea levels and intensified weather events, necessitate the development of new technologies for protection and damage prevention. The focus of this research is to inform optimization efforts for the design of an architected reef structure aimed at maximizing wave energy dissipation when placed under various real-world environmental conditions. By testing reef structures in sea storm conditions with random oscillatory motion, this study aims to assess the effectiveness of the architected reefs in mitigating the adverse effects of wave energy. Validating the performance of reef structures in random wave motion, as compared to regular, sinusoidal motion, will improve testing efficiency, advancing the development of sustainable and resilient solutions for future coastal preservation efforts.
dc.publisherMassachusetts Institute of Technology
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleEvaluation of Optimized Architected Reef Design in Random Oscillatory Motion for Maximized Wave Energy Dissipation and Coastal Preservation
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.orcidhttps://orcid.org/0000-0003-1957-8606
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


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