• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

用于检测平面外载荷下难以察觉损伤的仿生混合复合传感器的表征与应用

Characterisation and Application of Bio-Inspired Hybrid Composite Sensors for Detecting Barely Visible Damage under Out-of-Plane Loadings.

作者信息

Tabatabaeian Ali, Mohammadi Reza, Harrison Philip, Fotouhi Mohammad

机构信息

James Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.

Faculty of Civil Engineering and Geosciences, Delft University of Technology, 2628 CN Delft, The Netherlands.

出版信息

Sensors (Basel). 2024 Aug 10;24(16):5170. doi: 10.3390/s24165170.

DOI:10.3390/s24165170
PMID:39204864
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11358944/
Abstract

Traditional inspection methods often fall short in detecting defects or damage in fibre-reinforced polymer (FRP) composite structures, which can compromise their performance and safety over time. A prime example is barely visible impact damage (BVID) caused by out-of-plane loadings such as indentation and low-velocity impact that can considerably reduce the residual strength. Therefore, developing advanced visual inspection techniques is essential for early detection of defects, enabling proactive maintenance and extending the lifespan of composite structures. This study explores the viability of using novel bio-inspired hybrid composite sensors for detecting BVID in laminated FRP composite structures. Drawing inspiration from the colour-changing mechanisms found in nature, hybrid composite sensors composed of thin-ply glass and carbon layers are designed and attached to the surface of laminated FRP composites exposed to transverse loading. A comprehensive experimental characterisation, including quasi-static indentation and low-velocity impact tests alongside non-destructive evaluations such as ultrasonic C-scan and visual inspection, is conducted to assess the sensors' efficacy in detecting BVID. Moreover, a comparison between the two transverse loading types, static indentation and low-velocity impact, is presented. The results suggest that integrating sensors into composite structures has a minimal effect on mechanical properties such as structural stiffness and energy absorption, while substantially improving damage visibility. Additionally, the influence of fibre orientation of the sensing layer on sensor performance is evaluated, and correlations between internal and surface damage are demonstrated.

摘要

传统的检测方法在检测纤维增强聚合物(FRP)复合结构中的缺陷或损伤时往往存在不足,随着时间的推移,这可能会损害其性能和安全性。一个典型的例子是由平面外载荷(如压痕和低速冲击)引起的几乎不可见的冲击损伤(BVID),这种损伤会显著降低残余强度。因此,开发先进的视觉检测技术对于早期发现缺陷、实现主动维护以及延长复合结构的使用寿命至关重要。本研究探讨了使用新型生物启发式混合复合传感器检测层压FRP复合结构中BVID的可行性。从自然界中发现的变色机制中汲取灵感,设计了由薄层玻璃和碳层组成的混合复合传感器,并将其附着在承受横向载荷的层压FRP复合材料表面。进行了全面的实验表征,包括准静态压痕和低速冲击试验以及诸如超声C扫描和视觉检测等无损评估,以评估传感器检测BVID的功效。此外,还对静态压痕和低速冲击这两种横向载荷类型进行了比较。结果表明,将传感器集成到复合结构中对结构刚度和能量吸收等力学性能的影响最小,同时显著提高了损伤的可见性。此外,还评估了传感层纤维取向对传感器性能的影响,并证明了内部损伤与表面损伤之间的相关性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4fa9151aaee3/sensors-24-05170-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6d741d236777/sensors-24-05170-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/c423097283fd/sensors-24-05170-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/460d8e753993/sensors-24-05170-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/0889647d8f77/sensors-24-05170-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/33ab4da143fb/sensors-24-05170-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6c5eb60e5595/sensors-24-05170-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/f9806395e4f4/sensors-24-05170-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/cb6b6fa79191/sensors-24-05170-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/d2f63481204d/sensors-24-05170-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/1b6d26bb0f2f/sensors-24-05170-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6e1c97742479/sensors-24-05170-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4c52337aba69/sensors-24-05170-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/89685168bce1/sensors-24-05170-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4152b3eb69aa/sensors-24-05170-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/c84ee9bd653d/sensors-24-05170-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/ac70ef6c4113/sensors-24-05170-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/ac9f5f3c5b75/sensors-24-05170-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/bf3c5f931038/sensors-24-05170-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4fa9151aaee3/sensors-24-05170-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6d741d236777/sensors-24-05170-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/c423097283fd/sensors-24-05170-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/460d8e753993/sensors-24-05170-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/0889647d8f77/sensors-24-05170-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/33ab4da143fb/sensors-24-05170-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6c5eb60e5595/sensors-24-05170-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/f9806395e4f4/sensors-24-05170-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/cb6b6fa79191/sensors-24-05170-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/d2f63481204d/sensors-24-05170-g009a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/1b6d26bb0f2f/sensors-24-05170-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/6e1c97742479/sensors-24-05170-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4c52337aba69/sensors-24-05170-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/89685168bce1/sensors-24-05170-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4152b3eb69aa/sensors-24-05170-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/c84ee9bd653d/sensors-24-05170-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/ac70ef6c4113/sensors-24-05170-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/ac9f5f3c5b75/sensors-24-05170-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/bf3c5f931038/sensors-24-05170-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd68/11358944/4fa9151aaee3/sensors-24-05170-g019.jpg

相似文献

1
Characterisation and Application of Bio-Inspired Hybrid Composite Sensors for Detecting Barely Visible Damage under Out-of-Plane Loadings.用于检测平面外载荷下难以察觉损伤的仿生混合复合传感器的表征与应用
Sensors (Basel). 2024 Aug 10;24(16):5170. doi: 10.3390/s24165170.
2
Detection of Barely Visible Impact Damage in Polymeric Laminated Composites Using a Biomimetic Tactile Whisker.使用仿生触觉须检测聚合物层压复合材料中几乎不可见的冲击损伤。
Polymers (Basel). 2021 Oct 18;13(20):3587. doi: 10.3390/polym13203587.
3
Optimisation of Through-Thickness Embedding Location of Fibre Bragg Grating Sensor in CFRP for Impact Damage Detection.用于冲击损伤检测的碳纤维增强复合材料中光纤布拉格光栅传感器的厚度方向嵌入位置优化
Polymers (Basel). 2021 Sep 12;13(18):3078. doi: 10.3390/polym13183078.
4
Effects of Carbon/Kevlar Hybrid Ply and Intercalation Sequence on Mechanical Properties and Damage Resistance of Composite Laminates under Quasi-Static Indentation.碳/凯夫拉尔混杂铺层和插层顺序对准静态压痕下复合材料层压板力学性能和抗损伤性的影响
Polymers (Basel). 2024 Jun 25;16(13):1801. doi: 10.3390/polym16131801.
5
Reconstruction of Barely Visible Impact Damage in Composite Structures Based on Non-Destructive Evaluation Results.基于无损评估结果的复合材料结构微损伤重构。
Sensors (Basel). 2019 Oct 24;19(21):4629. doi: 10.3390/s19214629.
6
Dataset on open/blind hole-hole interaction in barely visible impact damaged composite laminates.关于几乎不可见冲击损伤复合材料层压板中开孔/盲孔相互作用的数据集。
Data Brief. 2020 Dec 1;34:106607. doi: 10.1016/j.dib.2020.106607. eCollection 2021 Feb.
7
In-situ detection of delamination reinitiation in carbon fiber reinforced polymers post barely visible impact damage.碳纤维增强聚合物在刚出现可见冲击损伤后分层再引发的原位检测
Heliyon. 2024 Sep 12;10(18):e37782. doi: 10.1016/j.heliyon.2024.e37782. eCollection 2024 Sep 30.
8
Impact Response and Damage Tolerance of Hybrid Glass/Kevlar-Fibre Epoxy Structural Composites.混合玻璃/凯夫拉尔纤维环氧树脂结构复合材料的冲击响应与损伤容限
Polymers (Basel). 2021 Aug 4;13(16):2591. doi: 10.3390/polym13162591.
9
Thermochromic Polymer Film Sensors for Detection of Incipient Thermal Damage in Carbon Fiber⁻Epoxy Composites.用于检测碳纤维-环氧树脂复合材料早期热损伤的热致变色聚合物薄膜传感器
Sensors (Basel). 2018 Apr 27;18(5):1362. doi: 10.3390/s18051362.
10
Impact Damage Evaluation in Composite Structures Based on Fusion of Results of Ultrasonic Testing and X-ray Computed Tomography.基于超声检测和 X 射线计算机断层扫描结果融合的复合材料结构冲击损伤评估。
Sensors (Basel). 2020 Mar 27;20(7):1867. doi: 10.3390/s20071867.

本文引用的文献

1
Low Velocity Impact Monitoring of Composite Tubes Based on FBG Sensors.基于光纤布拉格光栅传感器的复合管低速冲击监测
Sensors (Basel). 2024 Feb 17;24(4):1279. doi: 10.3390/s24041279.
2
Review of Wireless RFID Strain Sensing Technology in Structural Health Monitoring.结构健康监测中的无线射频识别应变传感技术综述
Sensors (Basel). 2023 Aug 3;23(15):6925. doi: 10.3390/s23156925.
3
Impact Damage Evaluation in Composite Structures Based on Fusion of Results of Ultrasonic Testing and X-ray Computed Tomography.基于超声检测和 X 射线计算机断层扫描结果融合的复合材料结构冲击损伤评估。
Sensors (Basel). 2020 Mar 27;20(7):1867. doi: 10.3390/s20071867.
4
Reconstruction of Barely Visible Impact Damage in Composite Structures Based on Non-Destructive Evaluation Results.基于无损评估结果的复合材料结构微损伤重构。
Sensors (Basel). 2019 Oct 24;19(21):4629. doi: 10.3390/s19214629.
5
Microcapsule-Containing Self-Reporting Polymers.含微胶囊的自报告聚合物。
Small. 2018 Nov;14(46):e1802489. doi: 10.1002/smll.201802489. Epub 2018 Sep 28.