Volume-Change-Driven Strain Analysis for Foldable Origami Structures of Wave Energy Harvester: A Coordinate-Based Material-Matching Framework

Rapidly rising global electricity demand and stringent decarbonisation targets have intensified the search for untapped zero-carbon resources. Ocean wave energy, theoretically exceeding 2 TW, remains largely unexploited because conventional rigid Wave Energy Converters (WECs) perform poorly in mild seas and require wide spectral bandwidths. This study explores an ultra-lightweight, foldable origami-inspired shell that replaces massive resonant structures with compliant polymer facets whose geometry can be tuned in real time. A critical design challenge is selecting an elastomer for the flexible quadrilateral BMPN region that links rigid faces without fracture or excessive damping. We derive a closed-form expression for the distance between vertices B and P as a single-valued function of the global folding angle , validated experimentally to within 4.4 %. Five cases are then analysed to determine the maximum required tensile strain, yielding a range of 0.3111.647. Matching these mechanical demands against a candidate database identifies foamed plastics, soft metals, common polymers, elastomers, and thermoplastic elastomers as optimal choices that combine low mass, recyclability, and fatigue resistance. The framework offers designers a quantitative route to fully collapsible, reliable origami WECs and provides a foundation for future experimental validation and hydrodynamic efficiency optimisation. This work delivers a lightweight, foldable origami wave-energy design to slash costs and speed deployment.

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Publication Details

Journal
Applied and Computational Engineering
Published
2025-10-01
DOI
https://doi.org/10.54254/2755-2721/2025.gl27300
Primary Topic
Cell Image Analysis Techniques
Type
article
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article

Volume-Change-Driven Strain Analysis for Foldable Origami Structures of Wave Energy Harvester: A Coordinate-Based Material-Matching Framework

Applied and Computational Engineering
Cell Image Analysis Techniques
article

Volume-Change-Driven Strain Analysis for Foldable Origami Structures of Wave Energy Harvester: A Coordinate-Based Material-Matching Framework

article en

Abstract

Rapidly rising global electricity demand and stringent decarbonisation targets have intensified the search for untapped zero-carbon resources. Ocean wave energy, theoretically exceeding 2 TW, remains largely unexploited because conventional rigid Wave Energy Converters (WECs) perform poorly in mild seas and require wide spectral bandwidths. This study explores an ultra-lightweight, foldable origami-inspired shell that replaces massive resonant structures with compliant polymer facets whose geometry can be tuned in real time. A critical design challenge is selecting an elastomer for the flexible quadrilateral BMPN region that links rigid faces without fracture or excessive damping. We derive a closed-form expression for the distance between vertices B and P as a single-valued function of the global folding angle , validated experimentally to within 4.4 %. Five cases are then analysed to determine the maximum required tensile strain, yielding a range of 0.3111.647. Matching these mechanical demands against a candidate database identifies foamed plastics, soft metals, common polymers, elastomers, and thermoplastic elastomers as optimal choices that combine low mass, recyclability, and fatigue resistance. The framework offers designers a quantitative route to fully collapsible, reliable origami WECs and provides a foundation for future experimental validation and hydrodynamic efficiency optimisation. This work delivers a lightweight, foldable origami wave-energy design to slash costs and speed deployment.

Applied and Computational EngineeringVol. 186(1)
Beijing Zhongchuangwei Quantum Communication Technology (China) (CN)
Life below water
Openalex Percentile: Top 37%
Cell Image Analysis Techniques
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Volume-Change-Driven Strain Analysis for Foldable Origami Structures of Wave Energy Harvester: A Coordinate-Based Material-Matching Framework · Applied and Computational Engineering (2025) | TGRS Research Map | TGRS