基于石墨烯的织物结构健康智能监测传感器。

IF 4.7 3区 工程技术 Q1 POLYMER SCIENCE
Polymers Pub Date : 2025-05-27 DOI:10.3390/polym17111484
Chuang Zhu, Yajie Zhang, Guanliang He
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引用次数: 0

摘要

本文提出了一种解决复合材料行业对先进结构健康监测(SHM)系统需求的方法。利用石墨烯优异的机械和电气性能,本研究引入了基于石墨烯/聚多巴胺的智能SHM传感器。通过拉伸、弯曲、冲击和压缩测试来测试这些传感器的效率,表明不同的设计适用于不同的条件。值得注意的是,这些传感器对外部冲击力反应良好,为复合材料板的冲击检测开辟了新的途径,这是结构健康监测的一个重要方面。这项研究有助于开发具有弹性和成本效益的SHM系统,在航空航天,汽车和土木工程行业具有潜在的应用,提高安全性并降低维护成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Graphene-Based Textile Sensors for Intelligent Structural Health Monitoring.

This paper presents an approach to address the need for advanced Structural Health Monitoring (SHM) systems in composite materials across various industries. Leveraging the exceptional mechanical and electrical properties of graphene, this study introduces graphene/polydopamine-based sensors for intelligent SHM. Testing these sensors' efficiency through tensile, bending, impact, and compression tests show that different designs are applicable to various conditions. Notably, these sensors respond well to external impact forces, opening new avenues for impact detection in composite panels, an essential aspect of Structural Health Monitoring. This research contributes to developing resilient and cost-effective SHM systems with potential applications in aerospace, automotive, and civil engineering industries, enhancing safety and reducing maintenance costs.

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来源期刊
Polymers
Polymers POLYMER SCIENCE-
CiteScore
8.00
自引率
16.00%
发文量
4697
审稿时长
1.3 months
期刊介绍: Polymers (ISSN 2073-4360) is an international, open access journal of polymer science. It publishes research papers, short communications and review papers. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. Polymers provides an interdisciplinary forum for publishing papers which advance the fields of (i) polymerization methods, (ii) theory, simulation, and modeling, (iii) understanding of new physical phenomena, (iv) advances in characterization techniques, and (v) harnessing of self-assembly and biological strategies for producing complex multifunctional structures.
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