• 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

基于非线性兰姆波的贴片修复碳纤维增强复合材料层合板冲击损伤检测

Impact Damage Detection in Patch-Repaired CFRP Laminates Using Nonlinear Lamb Waves.

作者信息

Yin Zhenhua, Li Cheng, Tie Ying, Duan Yuechen

机构信息

School of Mechanical and Power Engineering, Zhengzhou University, Science Road 100, 450001 Zhengzhou, China.

出版信息

Sensors (Basel). 2020 Dec 31;21(1):219. doi: 10.3390/s21010219.

DOI:10.3390/s21010219
PMID:33396386
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7795611/
Abstract

Carbon fiber-reinforced polymer (CFRP) laminates, a key composite material, are widely used in aircraft structures and are susceptible to low-velocity impact (LVI) damage from bird strikes, lightning strikes, hail impacts and other situations. Therefore, finding a method that repairs the damaged structure and detects the effect of these repairs under LVI is a very important goal. In this work, the repair effect of LVI damage in CFRP laminates repaired with patches of various sizes is investigated via experimental and numerical nonlinear Lamb wave analyses. An integrated numerical procedure that combines LVI with nonlinear Lamb wave detection is developed to predict the nonlinear Lamb wave behavior in LVI-damaged patch-repaired CFRP laminates. The CFRP laminate damage in the nonlinear Lamb wave simulation is evaluated based on relative acoustic nonlinearity parameters (RANPs). As a result, the integrated numerical procedure is validated with drop-weight impact tests and RAM-5000 SNAP nonlinear ultrasonic detection system. An optimal patch design is established via interpolation to optimize the absorbed energy, delamination surface area, second RANP and third RANP with different patch repair sizes. These parameters exhibit consistent curve fitting trends, indicating that they can be used as important indicators of impact damage. The optimal circular patch design with a radius of 2.5 r has better impact resistance behavior and repair performance.

摘要

碳纤维增强聚合物（CFRP）层压板作为一种关键复合材料，广泛应用于飞机结构中，且易受到鸟击、雷击、冰雹撞击等情况造成的低速冲击（LVI）损伤。因此，找到一种修复受损结构并检测其在低速冲击下修复效果的方法是一个非常重要的目标。在这项工作中，通过实验和数值非线性兰姆波分析，研究了用不同尺寸补片修复的CFRP层压板中低速冲击损伤的修复效果。开发了一种将低速冲击与非线性兰姆波检测相结合的综合数值程序，以预测低速冲击损伤的补片修复CFRP层压板中的非线性兰姆波行为。基于相对声学非线性参数（RANP）对非线性兰姆波模拟中的CFRP层压板损伤进行评估。结果，通过落锤冲击试验和RAM - 5000 SNAP非线性超声检测系统对该综合数值程序进行了验证。通过插值建立了一种最优补片设计，以优化不同补片修复尺寸下的吸收能量、分层表面积、第二RANP和第三RANP。这些参数呈现出一致的曲线拟合趋势，表明它们可作为冲击损伤的重要指标。半径为2.5r的最优圆形补片设计具有更好的抗冲击性能和修复性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/3f8e48b80a82/sensors-21-00219-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/b12dc4d70e8c/sensors-21-00219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/476aa810816a/sensors-21-00219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/44a14c4b80c8/sensors-21-00219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/2f10d46f1207/sensors-21-00219-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/e783dfe92eda/sensors-21-00219-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/567307062d59/sensors-21-00219-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/f6124ff831a8/sensors-21-00219-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/7b709f2a171b/sensors-21-00219-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/02b4e3618c19/sensors-21-00219-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/c621a3a1e636/sensors-21-00219-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/6cf294647852/sensors-21-00219-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/515e87d0a63e/sensors-21-00219-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/eed48b314823/sensors-21-00219-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/727174ff1672/sensors-21-00219-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/46002d45af86/sensors-21-00219-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/39c868752d33/sensors-21-00219-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/a7c502d3b9db/sensors-21-00219-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/b2dde22543b3/sensors-21-00219-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/a40f1fd48293/sensors-21-00219-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/ddcd05f95d3c/sensors-21-00219-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/47dca36d240b/sensors-21-00219-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/3f8e48b80a82/sensors-21-00219-g022.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/b12dc4d70e8c/sensors-21-00219-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/476aa810816a/sensors-21-00219-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/44a14c4b80c8/sensors-21-00219-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/2f10d46f1207/sensors-21-00219-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/e783dfe92eda/sensors-21-00219-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/567307062d59/sensors-21-00219-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/f6124ff831a8/sensors-21-00219-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/7b709f2a171b/sensors-21-00219-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/02b4e3618c19/sensors-21-00219-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/c621a3a1e636/sensors-21-00219-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/6cf294647852/sensors-21-00219-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/515e87d0a63e/sensors-21-00219-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/eed48b314823/sensors-21-00219-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/727174ff1672/sensors-21-00219-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/46002d45af86/sensors-21-00219-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/39c868752d33/sensors-21-00219-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/a7c502d3b9db/sensors-21-00219-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/b2dde22543b3/sensors-21-00219-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/a40f1fd48293/sensors-21-00219-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/ddcd05f95d3c/sensors-21-00219-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/47dca36d240b/sensors-21-00219-g021.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/66e1/7795611/3f8e48b80a82/sensors-21-00219-g022.jpg

相似文献

1
Impact Damage Detection in Patch-Repaired CFRP Laminates Using Nonlinear Lamb Waves.基于非线性兰姆波的贴片修复碳纤维增强复合材料层合板冲击损伤检测
Sensors (Basel). 2020 Dec 31;21(1):219. doi: 10.3390/s21010219.
2
Optimization of Nonlinear Lamb Wave Detection System Parameters in CFRP Laminates.碳纤维增强复合材料层压板中非线性兰姆波检测系统参数的优化
Materials (Basel). 2021 Jun 9;14(12):3186. doi: 10.3390/ma14123186.
3
Nonlinear Lamb waves for fatigue damage identification in FRP-reinforced steel plates.用于识别FRP增强钢板疲劳损伤的非线性兰姆波
Ultrasonics. 2017 Sep;80:87-95. doi: 10.1016/j.ultras.2017.05.004. Epub 2017 May 6.
4
Experimental and numerical investigations on the impact behaviour of pristine and patch-repaired composite laminates.原始和贴片修复复合材料层压板冲击行为的实验与数值研究
Philos Trans A Math Phys Eng Sci. 2022 Sep 19;380(2232):20210340. doi: 10.1098/rsta.2021.0340. Epub 2022 Aug 1.
5
A hybrid method based upon nonlinear Lamb wave response for locating a delamination in composite laminates.一种基于非线性兰姆波响应的用于定位复合材料层压板分层损伤的混合方法。
Ultrasonics. 2016 Aug;70:12-7. doi: 10.1016/j.ultras.2016.04.012. Epub 2016 Apr 19.
6
Digital Image Correlation and Ultrasonic Lamb Waves for the Detection and Prediction of Crack-Type Damage in Fiber-Reinforced Polymer Composite Laminates.用于检测和预测纤维增强聚合物复合材料层压板中裂纹型损伤的数字图像相关和超声兰姆波技术
Polymers (Basel). 2024 Jul 11;16(14):1980. doi: 10.3390/polym16141980.
7
Experimental and Numerical Investigation on the Influence Factors of Damage Interference of Patch-Repaired CFRP Laminates under Double Impacts.双冲击下补片修复CFRP层合板损伤干涉影响因素的试验与数值研究
Polymers (Basel). 2023 Mar 11;15(6):1403. doi: 10.3390/polym15061403.
8
The strength recovery effect of scarf bonding on the CFRP laminates with impact damage.斜接粘结对受冲击损伤的碳纤维增强复合材料层压板的强度恢复效果。
Heliyon. 2023 Aug 15;9(8):e19143. doi: 10.1016/j.heliyon.2023.e19143. eCollection 2023 Aug.
9
Research on Delamination Damage Quantification Detection of CFRP Bending Plate Based on Lamb Wave Mode Control.基于兰姆波模式控制的碳纤维增强复合材料弯曲板分层损伤量化检测研究
Sensors (Basel). 2024 Mar 10;24(6):1790. doi: 10.3390/s24061790.
10
Impact Damage Detection Using Chirp Ultrasonic Guided Waves for Development of Health Monitoring System for CFRP Mobility Structures.基于线性调频超声导波的冲击损伤检测技术在 CFRP 可动结构健康监测系统中的应用
Sensors (Basel). 2022 Jan 20;22(3):789. doi: 10.3390/s22030789.

引用本文的文献

1
Experimental and Numerical Investigation on the Influence Factors of Damage Interference of Patch-Repaired CFRP Laminates under Double Impacts.双冲击下补片修复CFRP层合板损伤干涉影响因素的试验与数值研究
Polymers (Basel). 2023 Mar 11;15(6):1403. doi: 10.3390/polym15061403.
2
Environmental and Economic Assessment of Repairable Carbon-Fiber-Reinforced Polymers in Circular Economy Perspective.循环经济视角下可修复碳纤维增强聚合物的环境与经济评估
Materials (Basel). 2022 Apr 20;15(9):2986. doi: 10.3390/ma15092986.
3
Optimization of Nonlinear Lamb Wave Detection System Parameters in CFRP Laminates.

本文引用的文献

1
Selective Generation of Lamb Wave Modes in a Finite-Width Plate by Angle-Beam Excitation Method.采用角梁激励法在有限宽度平板中选择性地产生兰姆波模式。
Sensors (Basel). 2020 Jul 10;20(14):3868. doi: 10.3390/s20143868.
2
Mixing of ultrasonic Lamb waves in thin plates with quadratic nonlinearity.具有二次非线性的薄板中超声兰姆波的混合
Ultrasonics. 2018 Jul;87:33-43. doi: 10.1016/j.ultras.2018.02.005. Epub 2018 Feb 6.
3
Impact Damage Localisation with Piezoelectric Sensors under Operational and Environmental Conditions.运行和环境条件下基于压电传感器的冲击损伤定位
碳纤维增强复合材料层压板中非线性兰姆波检测系统参数的优化
Materials (Basel). 2021 Jun 9;14(12):3186. doi: 10.3390/ma14123186.
Sensors (Basel). 2017 May 22;17(5):1178. doi: 10.3390/s17051178.
4
Nonlinear Lamb waves for fatigue damage identification in FRP-reinforced steel plates.用于识别FRP增强钢板疲劳损伤的非线性兰姆波
Ultrasonics. 2017 Sep;80:87-95. doi: 10.1016/j.ultras.2017.05.004. Epub 2017 May 6.
5
Generation mechanism of nonlinear ultrasonic Lamb waves in thin plates with randomly distributed micro-cracks.含随机分布微裂纹薄板中非线性超声兰姆波的产生机制
Ultrasonics. 2017 Aug;79:60-67. doi: 10.1016/j.ultras.2017.04.004. Epub 2017 Apr 12.
6
Rapid Multi-Damage Identification for Health Monitoring of Laminated Composites Using Piezoelectric Wafer Sensor Arrays.使用压电晶片传感器阵列对层合复合材料进行健康监测的快速多损伤识别
Sensors (Basel). 2016 May 4;16(5):638. doi: 10.3390/s16050638.
7
A Lamb waves based statistical approach to structural health monitoring of carbon fibre reinforced polymer composites.一种基于兰姆波的碳纤维增强聚合物复合材料结构健康监测统计方法。
Ultrasonics. 2015 Jul;60:51-64. doi: 10.1016/j.ultras.2015.02.011. Epub 2015 Feb 23.
8
Numerical simulation of nonlinear Lamb waves used in a thin plate for detecting buried micro-cracks.用于薄板中检测埋藏微裂纹的非线性兰姆波数值模拟。
Sensors (Basel). 2014 May 15;14(5):8528-46. doi: 10.3390/s140508528.
9
Baseline-free estimation of residual fatigue life using a third order acoustic nonlinear parameter.基于三阶声学非线性参数的无基准残余疲劳寿命估算。
J Acoust Soc Am. 2011 Oct;130(4):1829-37. doi: 10.1121/1.3621714.