The increasing use of artificial reefs (ARs) to restore marine ecosystems, particularly amid climate change and coral reef degradation, underscores the need to understand how morphology and materials influence their environmental integration and bioreceptivity. Traditionally made from waste materials, ARs have evolved into prefabricated concrete structures to address concerns about material ecotoxicity. More recently, additive manufacturing (AM) has enabled the fabrication of complex, porous structures that better mimic natural reefs, incorporating bioreceptive materials like clay-based mixtures and marine biomass remnants to enhance ecosystem integration. This research proposes a systematic methodology for selecting materials for AM-based ARs, considering mechanical performance, biocompatibility, cost, environmental impact, and carbon footprint. The selection process integrates three multicriteria decision-making (MCDM) methods: Analytic Hierarchy Process (AHP) for weighting criteria, and TOPSIS and VIKOR for ranking materials based on ideal and compromise solutions. The Borda count technique is used to balance rankings from the TOPSIS and VIKOR methods. Data collection includes laboratory experiments, literature reviews, and database analysis. By optimizing material selection, this methodology enhances understanding of the interactions between key parameters and improves design strategies for AM-based ARs, ultimately supporting more effective habitat restoration.

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Multicriteria Analysis for Material Selection in Artificial Reefs with Additive Manufacturing

  • Edgar Mauricio Vásquez Trejos,
  • Maria De Los Ángeles Ortega Del Rosario,
  • Shannon Weeks

摘要

The increasing use of artificial reefs (ARs) to restore marine ecosystems, particularly amid climate change and coral reef degradation, underscores the need to understand how morphology and materials influence their environmental integration and bioreceptivity. Traditionally made from waste materials, ARs have evolved into prefabricated concrete structures to address concerns about material ecotoxicity. More recently, additive manufacturing (AM) has enabled the fabrication of complex, porous structures that better mimic natural reefs, incorporating bioreceptive materials like clay-based mixtures and marine biomass remnants to enhance ecosystem integration. This research proposes a systematic methodology for selecting materials for AM-based ARs, considering mechanical performance, biocompatibility, cost, environmental impact, and carbon footprint. The selection process integrates three multicriteria decision-making (MCDM) methods: Analytic Hierarchy Process (AHP) for weighting criteria, and TOPSIS and VIKOR for ranking materials based on ideal and compromise solutions. The Borda count technique is used to balance rankings from the TOPSIS and VIKOR methods. Data collection includes laboratory experiments, literature reviews, and database analysis. By optimizing material selection, this methodology enhances understanding of the interactions between key parameters and improves design strategies for AM-based ARs, ultimately supporting more effective habitat restoration.