氢复合材料压力容器结构健康监测研究进展

IF 7 Q2 MATERIALS SCIENCE, COMPOSITES
Lyazid Bouhala , Jérome Polesel , Argyrios Karatrantos , Séverine Perbal , Björn Senf , Alexander Hiekel , Heiner Reinhardt , Alexander Rauscher , Thomas Mäder
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引用次数: 0

摘要

由于复合材料压力容器在航空航天、汽车和能源领域的广泛应用,确保其安全性和耐久性至关重要。本文综述了复合材料包覆压力容器(copv)结构健康监测(SHM)技术的最新进展。特别关注基于纳米填充物的柔性应变传感器,如碳纳米管、石墨烯、MXene和聚合物纳米复合材料,它们提供高灵敏度、可拉伸性和可调谐的传感行为。讨论了影响传感器性能和集成的关键传感机制,包括隧道效应、压电阻率、裂纹扩展和制造方法。形状记忆合金(SMA)长丝传感器也因其优异的抗疲劳性、弹性拉伸性和高规格因素而被分析。实例研究证明了该方法在循环压力加载和爆破试验中的实际有效性。该综述进一步强调了集成自传感功能的多功能复合材料用于下一代智能压力容器。解决了与传感器嵌入、环境影响、数据处理和可扩展性相关的挑战。未来的研究方向强调多尺度建模、用于损伤检测和预测的机器学习,以及实现实时安全管理的全自动SHM系统。这些进步将提高可靠性,降低维护成本,并延长复合压力容器在苛刻的工业应用中的使用寿命。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Review of State-of-the-art of structural health monitoring in hydrogen composite pressure vessels
Ensuring the safety and durability of composite pressure vessels is critical due to their extensive use in aerospace, automotive, and energy sectors. This review examines recent advances in Structural Health Monitoring (SHM) technologies tailored for Composite Overwrapped Pressure Vessels (COPVs). Special focus is given to flexible strain sensors based on nanofillers such as carbon nanotubes, graphene, MXene, and polymer nanocomposites, which provide high sensitivity, stretchability, and tunable sensing behavior. Key sensing mechanisms including tunneling, piezo-resistivity, and crack propagation and fabrication methods influencing sensor performance and integration are discussed. Shape memory alloy (SMA) filament sensors are also analyzed for their exceptional fatigue resistance, elastic stretchability, and high gauge factors. Case studies demonstrate their practical effectiveness under cyclic pressure loading and burst tests. The review further highlights multifunctional composites integrating self-sensing features for next-generation smart pressure vessels. Challenges related to sensor embedding, environmental impacts, data processing, and scalability are addressed. Future research directions emphasize multi-scale modeling, machine learning for damage detection and prognosis, and fully autonomous SHM systems enabling real-time safety management. These advances are poised to enhance reliability, reduce maintenance costs, and extend the operational life of composite pressure vessels in demanding industrial applications.
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来源期刊
Composites Part C Open Access
Composites Part C Open Access Engineering-Mechanical Engineering
CiteScore
8.60
自引率
2.40%
发文量
96
审稿时长
55 days
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