Integrating fuzzy DEMATEL and Constructal Law for biofouling dynamics in Marine Growth Prevention Systems

IF 2.1 4区生物学 Q2 BIOLOGY

Biosystems Pub Date : 2026-01-01 Epub Date: 2025-11-29 DOI:10.1016/j.biosystems.2025.105663

Veysi Başhan

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引用次数: 0

Abstract

Marine Growth Prevention Systems (MGPS) are vital for maintaining vessel efficiency, reducing biofouling, and ensuring sustainable operation under variable marine conditions. However, their performance is often challenged by complex interdependencies among design, thermodynamic, and operational factors. In this study, a fuzzy DEMATEL (Decision Making Trial and Evaluation Laboratory) approach is employed to systematically evaluate and prioritize fifteen critical factors affecting MGPS effectiveness. The analysis integrates Constructal Law principles and bio-inspired design concepts to capture the dynamic interplay between entropy generation, copper ion distribution, electrode configuration, and structural adaptability. Expert evaluations from oceangoing chief engineers with academic and operational experience were used to construct the causal model. The results show that Structural Topology Efficiency (C13) and Evolutionary Robustness under Changing Conditions (C15) exhibited the highest causal influence (rᵢ – cⱼ > 0.35), whereas Biological Antifouling Analogy Consistency (C10) was found to be the most dependent factor (rᵢ – cⱼ < −0.28). Incorporating Constructal alignment principles reduced estimated entropy generation suggesting that thermodynamically optimized configurations can substantially enhance antifouling performance and energy efficiency. The cause–effect diagram highlights that adaptive topology and control responsiveness act as dominant design drivers, shaping electrochemical and flow-related outcomes. This study contributes to the literature by bridging fuzzy multi-criteria decision-making with thermodynamic and bio-organizational perspectives, offering both theoretical insights and practical design guidance. Furthermore, the findings open new research avenues toward integrating Constructal Law optimization with AI-based predictive control, CFD–multi-physics coupling, and self-healing MGPS architectures for next-generation sustainable marine systems.

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海洋防生长系统中生物污染动力学的模糊DEMATEL和构形律集成。

海洋防生长系统（MGPS）对于维持船舶效率、减少生物污染和确保在多变的海洋条件下可持续运行至关重要。然而，它们的性能经常受到设计、热力学和操作因素之间复杂的相互依赖关系的挑战。本研究采用模糊DEMATEL （Decision Making Trial and Evaluation Laboratory）方法，对影响MGPS有效性的15个关键因素进行系统评价和排序。该分析整合了构造法原理和仿生设计概念，以捕捉熵产生、铜离子分布、电极配置和结构适应性之间的动态相互作用。利用具有学术和操作经验的远洋总工程师的专家评价，构建了因果模型。结果表明，结构拓扑效率（C13）和变化条件下的进化稳健性（C15）的因果影响最大（r′′- cⱼ> 0.35），而生物防垢类比一致性（C10）是最相关的因素（r′′- cⱼ< -0.28）。结合结构对齐原则减少了估计的熵产生，这表明热力学优化的配置可以大大提高防污性能和能源效率。因果关系图强调，自适应拓扑和控制响应性是主要的设计驱动因素，形成电化学和流动相关的结果。本研究通过将模糊多准则决策与热力学和生物组织的观点联系起来，为文献做出了贡献，提供了理论见解和实际设计指导。此外，研究结果为将结构化优化与基于人工智能的预测控制、cfd -多物理场耦合和自修复MGPS体系结构集成到下一代可持续海洋系统开辟了新的研究途径。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Biosystems 生物-生物学

CiteScore

3.70

自引率

18.80%

发文量

129

审稿时长

34 days

期刊介绍： BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.