A comprehensive review on fiber-based self-sensing polymer composites for in situ structural health monitoring

IF 21.8 2区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES
Yinping Tao, Rongmin Zhang, Xianming Hu, Yunfu Ou, Musu Ren, Jinliang Sun, Han Zhang, Ton Peijs
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Abstract

Polymer composites have played a crucial role in diverse industries, such as aerospace, marine, energy, automotive, and civil engineering, utilizing their lightweight, high strength-to-weight ratio, and resistance to fatigue and corrosion. However, conventional composites often lack intrinsic damage detection capabilities, posing potential safety risks. The development of self-sensing polymer composites with in situ structural health monitoring (SHM) capabilities presents a promising solution to this challenge. This review provides a comprehensive analysis of recent advances in self-sensing polymer composites, focusing on integrated piezoresistive fibrous sensors, fiber optic sensors, and magnetic fibrous sensors. The working principles, sensing mechanisms, and damage detection capabilities of each technique are discussed, alongside a critical evaluation of their advantages and limitations. In particular, a direct comparison of damage detection capabilities of these sensing techniques is provided to highlight their effectiveness in various SHM applications. Finally, emerging challenges and future research directions in self-sensing composites are examined, emphasizing the need for scalable manufacturing approaches, long-term reliability assessment, and integration with data-driven predictive models. The combination of nanomaterials, hybrid sensing strategies, and artificial intelligence assisted diagnostics is expected to drive the next generation of intelligent structural monitoring systems for enhanced safety and reliability in composite structures.

Graphical Abstract

用于结构原位健康监测的纤维基自传感聚合物复合材料综述
聚合物复合材料在航空航天、海洋、能源、汽车和土木工程等不同行业中发挥着至关重要的作用,利用其重量轻、强度重量比高、耐疲劳和耐腐蚀等特点。然而,传统复合材料往往缺乏内在损伤检测能力,存在潜在的安全风险。具有原位结构健康监测(SHM)能力的自传感聚合物复合材料的开发为解决这一挑战提供了一个有希望的解决方案。本文综述了自传感聚合物复合材料的最新研究进展,重点介绍了集成式压阻式纤维传感器、光纤传感器和磁性纤维传感器。讨论了每种技术的工作原理、传感机制和损伤检测能力,并对其优点和局限性进行了批判性评估。特别地,提供了这些传感技术的损伤检测能力的直接比较,以突出它们在各种SHM应用中的有效性。最后,研究了自传感复合材料的新挑战和未来研究方向,强调了可扩展制造方法、长期可靠性评估以及与数据驱动预测模型集成的需求。纳米材料、混合传感策略和人工智能辅助诊断的结合有望推动下一代智能结构监测系统的发展,以提高复合材料结构的安全性和可靠性。图形抽象
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来源期刊
CiteScore
26.00
自引率
21.40%
发文量
185
期刊介绍: Advanced Composites and Hybrid Materials is a leading international journal that promotes interdisciplinary collaboration among materials scientists, engineers, chemists, biologists, and physicists working on composites, including nanocomposites. Our aim is to facilitate rapid scientific communication in this field. The journal publishes high-quality research on various aspects of composite materials, including materials design, surface and interface science/engineering, manufacturing, structure control, property design, device fabrication, and other applications. We also welcome simulation and modeling studies that are relevant to composites. Additionally, papers focusing on the relationship between fillers and the matrix are of particular interest. Our scope includes polymer, metal, and ceramic matrices, with a special emphasis on reviews and meta-analyses related to materials selection. We cover a wide range of topics, including transport properties, strategies for controlling interfaces and composition distribution, bottom-up assembly of nanocomposites, highly porous and high-density composites, electronic structure design, materials synergisms, and thermoelectric materials. Advanced Composites and Hybrid Materials follows a rigorous single-blind peer-review process to ensure the quality and integrity of the published work.
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