舰船新材料及智能设计方法

Novel materials and intelligent design methods for naval vessels

  • 摘要: 新时代海洋安全对舰船性能提出更高要求,驱动着舰船设计技术的迭代升级。以复合材料、点阵结构、超材料为代表的新材料新结构,拓宽了性能设计空间,为功构一体化设计奠定了基础。与此同时,以生成式大模型与智能优化算法为代表的人工智能技术,为挖掘新材料潜力、实现复杂结构高效寻优提供了核心工具。二者协同,即“新材料赋能结构创新,智能设计挖掘性能极限”,正成为突破传统设计瓶颈、实现舰船多功能集成与性能跃升的关键路径。围绕功构一体化目标,系统梳理了纤维增强复合材料、夹芯结构、声学超材料等新材料体系的研究进展,以及人工神经网络、生成式大模型、智能优化算法等智能设计方法的应用现状,着重分析两者在舰船设计中的协同关系与工程化瓶颈,并展望未来技术发展方向与关键科学问题。

     

    Abstract: The new era of maritime security imposes higher demands on naval vessel performance, driving the iterative upgrading of ship design technologies. Novel materials and structures, represented by composites, lattice configurations, and functional metamaterials, have expanded the design space for material properties and established the foundation for functional-structural integration. Concurrently, artificial intelligence technologies, particularly generative large models and intelligent optimization algorithms, provide essential tools for unlocking the potential of these advanced materials and achieving efficient optimization of complex structures. The synergy between these two thrusts - “novel materials enabling structural innovation, and intelligent design pushing performance limits” - has become a critical pathway to overcome traditional design bottlenecks and realize multifunctional integration and performance leaps in naval vessels. Centered on the function and structure integration objective, progress in fiber-reinforced composites, sandwich structures, and acoustic metamaterials, as well as the application status of intelligent design methods such as artificial neural networks, generative large models, and optimization algorithms is reviewed systematically. Emphasis is placed on the synergistic relationship between these domains and their engineering challenges. Future development directions and key scientific questions are also discussed.

     

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