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用于智能结构健康监测的基于石墨烯的纺织传感器。

Graphene-Based Textile Sensors for Intelligent Structural Health Monitoring.

作者信息

Zhu Chuang, Zhang Yajie, He Guanliang

机构信息

Shanghai Frontiers Science Center of Advanced Textiles, College of Textiles, Donghua University, Shanghai 201620, China.

Shandong Laboratory of Advanced Materials and Green Manufacturing at Yantai, Yantai 264006, China.

出版信息

Polymers (Basel). 2025 May 27;17(11):1484. doi: 10.3390/polym17111484.

Abstract

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.

摘要

本文提出了一种方法,以满足各行业对复合材料先进结构健康监测(SHM)系统的需求。本研究利用石墨烯卓越的机械和电学性能,引入了基于石墨烯/聚多巴胺的传感器用于智能结构健康监测。通过拉伸、弯曲、冲击和压缩试验测试这些传感器的效率,结果表明不同的设计适用于各种条件。值得注意的是,这些传感器对外部冲击力反应良好,为复合板的冲击检测开辟了新途径,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且经济高效的结构健康监测系统,在航空航天、汽车和土木工程行业具有潜在应用,可提高安全性并降低维护成本。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8feb/12157770/98cf15f66634/polymers-17-01484-g001.jpg

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