Yinping Tao, Rongmin Zhang, Xianming Hu, Yunfu Ou, Musu Ren, Jinliang Sun, Han Zhang, Ton Peijs
{"title":"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","authors":"Yinping Tao, Rongmin Zhang, Xianming Hu, Yunfu Ou, Musu Ren, Jinliang Sun, Han Zhang, Ton Peijs","doi":"10.1007/s42114-025-01413-y","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":7220,"journal":{"name":"Advanced Composites and Hybrid Materials","volume":"8 5","pages":""},"PeriodicalIF":21.8000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42114-025-01413-y.pdf","citationCount":"0","resultStr":"{\"title\":\"A comprehensive review on fiber-based self-sensing polymer composites for in situ structural health monitoring\",\"authors\":\"Yinping Tao, Rongmin Zhang, Xianming Hu, Yunfu Ou, Musu Ren, Jinliang Sun, Han Zhang, Ton Peijs\",\"doi\":\"10.1007/s42114-025-01413-y\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p><h3>Graphical Abstract</h3>\\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>\",\"PeriodicalId\":7220,\"journal\":{\"name\":\"Advanced Composites and Hybrid Materials\",\"volume\":\"8 5\",\"pages\":\"\"},\"PeriodicalIF\":21.8000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s42114-025-01413-y.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Composites and Hybrid Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s42114-025-01413-y\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, COMPOSITES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Composites and Hybrid Materials","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s42114-025-01413-y","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, COMPOSITES","Score":null,"Total":0}
A comprehensive review on fiber-based self-sensing polymer composites for in situ structural health monitoring
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.
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.