• 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

分散式超声导波的波损伤相互作用系数特征:数值与实验研究。

Scattered Ultrasonic Guided Waves Characterized by Wave Damage Interaction Coefficients: Numerical and Experimental Investigations.

机构信息

Institute of Structural Lightweight Design, Johannes Kepler University Linz, Altenberger Str. 69, 4040 Linz, Austria.

出版信息

Sensors (Basel). 2022 Aug 25;22(17):6403. doi: 10.3390/s22176403.

DOI:10.3390/s22176403
PMID:36080863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9460470/
Abstract

The present paper comprehensively investigates the complex interaction between ultrasonic guided waves and local structural discontinuities, such as damages, through highly sensitive features: so-called wave damage interaction coefficients (WDICs). These WDICs are unique for each structural discontinuity and depend solely on their characteristics for a given structure and condition. Thus, they can be particularly useful for advanced assessment of lightweight structures in the context of non-destructive evaluation and structural health monitoring. However, the practical application of WDICs entails significant difficulties due to their sensitivity and complex patterns. Therefore, this study attempts to guide researchers and practitioners in the estimation of WDICs from numerical simulations and physical experiments. Detailed investigations are made for an aluminum host plate modified by artificial structural discontinuities, i.e., surface-bonded steel sheets. The numerical simulations are performed to predict WDICs and study sensitivities using a sophisticated finite element model. The experimental setup uses piezoelectric transducers to excite guided waves in the host plate. A single scanning laser Doppler vibrometer measures the scattered guided waves caused by the surface-bonded steel sheets, and the resulting WDICs with possible influences are investigated. In both cases, the orientation and thickness of the attached steel sheets were varied to create 12 different damage scenarios. In general, the comparison between numerical and experimental WDICs show good agreement. This underpins the applicability of the general methodology for simulating and measuring WDICs over all scenarios. Furthermore, the WDIC scattering patterns reveal a clear dependency of the peaks in the back-scattered reflections for both the numerical and experimental amplitude coefficients on the damage orientation, basically following the law of reflection. However, some discrepancies between both studies were observed. Numerical sensitivity analysis identified the adhesive layer as one reason for such differences. Additionally, misalignment errors in the experimental measurements were also found to affect WDICs. Therefore, an improved baseline subtraction method is proposed, which clearly enhances the experimental WDICs. Finally, an experimental sensitivity study of WDICs for selected sensing radii revealed only a minor influence. All these investigations were made for the amplitude as well as the phase representation of WDICs. Thus, these findings may open the way to future research and development of techniques employing WDICs for advanced applications of non-destructive evaluation and structural health monitoring.

摘要

本文全面研究了超声导波与局部结构不连续性(如损伤)之间的复杂相互作用,通过高度敏感的特征:所谓的波损伤相互作用系数(WDICs)。这些 WDICs 对于每个结构不连续性都是独特的,并且仅取决于它们在给定结构和条件下的特征。因此,它们对于轻量级结构的无损评估和结构健康监测的高级评估可能特别有用。然而,由于 WDICs 的敏感性和复杂模式,实际应用它们会带来重大困难。因此,本研究试图指导研究人员和从业者从数值模拟和物理实验中估计 WDICs。详细研究了通过人工结构不连续性(即表面粘结钢板)修改的铝合金母材。使用复杂的有限元模型进行数值模拟以预测 WDICs 并研究敏感性。实验设置使用压电换能器在母材中激励导波。单个扫描激光多普勒测振仪测量由表面粘结钢板引起的散射导波,并研究可能影响的结果 WDICs。在这两种情况下,都改变了附加钢板的方向和厚度,以创建 12 种不同的损伤场景。通常,数值和实验 WDICs 之间的比较显示出良好的一致性。这支持了针对所有场景模拟和测量 WDICs 的通用方法的适用性。此外,WDIC 散射模式显示出数值和实验振幅系数的背散射反射峰的峰值对损伤方向有明显的依赖性,基本上遵循反射定律。然而,在这两项研究中观察到一些差异。数值敏感性分析将粘合层确定为产生这种差异的原因之一。此外,还发现实验测量中的对准误差也会影响 WDICs。因此,提出了一种改进的基线扣除方法,该方法明显增强了实验 WDICs。最后,对选定感应半径的 WDICs 的实验灵敏度研究表明影响很小。所有这些研究都是针对 WDICs 的幅度和相位表示进行的。因此,这些发现可能为未来的研究和开发技术开辟道路,这些技术将 WDICs 用于无损评估和结构健康监测的高级应用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c78d2e361973/sensors-22-06403-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/67f144e46951/sensors-22-06403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/9785b6583f8e/sensors-22-06403-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/ec1637df6941/sensors-22-06403-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/db118cfb575d/sensors-22-06403-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/680935bddfb3/sensors-22-06403-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/42fc22377660/sensors-22-06403-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c8bd2410f696/sensors-22-06403-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c6772a8f8e19/sensors-22-06403-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/df6178e66a55/sensors-22-06403-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/94588d3df1d4/sensors-22-06403-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/5aa0c7ea8adb/sensors-22-06403-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/07830d2bbb01/sensors-22-06403-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/1d6fea2fe9f1/sensors-22-06403-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c78d2e361973/sensors-22-06403-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/67f144e46951/sensors-22-06403-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/9785b6583f8e/sensors-22-06403-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/ec1637df6941/sensors-22-06403-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/db118cfb575d/sensors-22-06403-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/680935bddfb3/sensors-22-06403-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/42fc22377660/sensors-22-06403-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c8bd2410f696/sensors-22-06403-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c6772a8f8e19/sensors-22-06403-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/df6178e66a55/sensors-22-06403-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/94588d3df1d4/sensors-22-06403-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/5aa0c7ea8adb/sensors-22-06403-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/07830d2bbb01/sensors-22-06403-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/1d6fea2fe9f1/sensors-22-06403-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3b8f/9460470/c78d2e361973/sensors-22-06403-g014.jpg

相似文献

1
Scattered Ultrasonic Guided Waves Characterized by Wave Damage Interaction Coefficients: Numerical and Experimental Investigations.分散式超声导波的波损伤相互作用系数特征:数值与实验研究。
Sensors (Basel). 2022 Aug 25;22(17):6403. doi: 10.3390/s22176403.
2
Damage identification using wave damage interaction coefficients predicted by deep neural networks.基于深度神经网络预测的波损伤相互作用系数的损伤识别。
Ultrasonics. 2022 Aug;124:106743. doi: 10.1016/j.ultras.2022.106743. Epub 2022 Apr 12.
3
Combined analytical FEM approach for efficient simulation of Lamb wave damage detection.用于兰姆波损伤检测高效模拟的组合分析有限元方法
Ultrasonics. 2016 Jul;69:116-28. doi: 10.1016/j.ultras.2016.03.019. Epub 2016 Apr 1.
4
High-Order Wave-Damage Interaction Coefficients (WDIC) Extracted through Modal Decomposition.通过模态分解提取的高阶波损伤相互作用系数(WDIC)
Sensors (Basel). 2021 Apr 13;21(8):2749. doi: 10.3390/s21082749.
5
Mode conversion of fundamental guided ultrasonic wave modes at part-thickness crack-like defects.部分厚度裂纹状缺陷处基本导波模式的模式转换
Ultrasonics. 2024 Aug;142:107399. doi: 10.1016/j.ultras.2024.107399. Epub 2024 Jul 5.
6
Modeling Magnetostrictive Transducers for Structural Health Monitoring: Ultrasonic Guided Wave Generation and Reception.建模磁致伸缩换能器用于结构健康监测:超声导波的产生与接收。
Sensors (Basel). 2021 Nov 29;21(23):7971. doi: 10.3390/s21237971.
7
Constrained thickness-shear vibration-based piezoelectric transducers for generating unidirectional-propagation SH wave.基于厚度剪切振动约束的用于产生单向传播SH波的压电换能器。
Ultrasonics. 2023 Sep;134:107106. doi: 10.1016/j.ultras.2023.107106. Epub 2023 Jul 11.
8
Delamination Depth Detection in Composite Plates Using the Lamb Wave Technique Based on Convolutional Neural Networks.基于卷积神经网络的兰姆波技术在复合材料板分层深度检测中的应用
Sensors (Basel). 2024 May 14;24(10):3118. doi: 10.3390/s24103118.
9
Durability Assessment of Bonded Piezoelectric Wafer Active Sensors for Aircraft Health Monitoring Applications.用于飞机健康监测应用的粘结式压电晶圆有源传感器的耐久性评估
Sensors (Basel). 2024 Jan 11;24(2):450. doi: 10.3390/s24020450.
10
Study of Rayleigh waves interaction with a spherical ball in contact with a plane surface for the development of new NDT method for ball bearings.为开发用于球轴承的新型无损检测方法,研究瑞利波与与平面接触的球形球的相互作用。
Ultrasonics. 2024 Jan;136:107156. doi: 10.1016/j.ultras.2023.107156. Epub 2023 Sep 4.

引用本文的文献

1
Damage Identification Using Measured and Simulated Guided Wave Damage Interaction Coefficients Predicted Ad Hoc by Deep Neural Networks.使用深度神经网络临时预测的测量和模拟导波损伤相互作用系数进行损伤识别。
Sensors (Basel). 2025 Mar 8;25(6):1681. doi: 10.3390/s25061681.

本文引用的文献

1
Damage identification using wave damage interaction coefficients predicted by deep neural networks.基于深度神经网络预测的波损伤相互作用系数的损伤识别。
Ultrasonics. 2022 Aug;124:106743. doi: 10.1016/j.ultras.2022.106743. Epub 2022 Apr 12.
2
High-Order Wave-Damage Interaction Coefficients (WDIC) Extracted through Modal Decomposition.通过模态分解提取的高阶波损伤相互作用系数(WDIC)
Sensors (Basel). 2021 Apr 13;21(8):2749. doi: 10.3390/s21082749.
3
Lamb Wave Scattering Analysis for Interface Damage Detection between a Surface-Mounted Block and Elastic Plate.
基于表面粘贴式块状体与弹性板之间界面损伤的兰姆波散射分析。
Sensors (Basel). 2021 Jan 28;21(3):860. doi: 10.3390/s21030860.
4
Crack Identification in Necked Double Shear Lugs by Means of the Electro-Mechanical Impedance Method.基于机电阻抗法的缩颈双剪切耳片裂纹识别
Sensors (Basel). 2020 Dec 23;21(1):44. doi: 10.3390/s21010044.
5
Analytical and Experimental Study of Fatigue-Crack-Growth AE Signals in Thin Sheet Metals.薄板金属中疲劳裂纹扩展声发射信号的分析与实验研究
Sensors (Basel). 2020 Oct 15;20(20):5835. doi: 10.3390/s20205835.
6
Review of Structural Health Monitoring Methods Regarding a Multi-Sensor Approach for Damage Assessment of Metal and Composite Structures.关于金属和复合材料结构损伤评估的多传感器方法的结构健康监测方法综述。
Sensors (Basel). 2020 Feb 4;20(3):826. doi: 10.3390/s20030826.
7
Recent Advances in Piezoelectric Wafer Active Sensors for Structural Health Monitoring Applications.压电晶圆主动传感器在结构健康监测应用中的最新进展。
Sensors (Basel). 2019 Jan 18;19(2):383. doi: 10.3390/s19020383.
8
Nonlinear scattering and mode conversion of Lamb waves at breathing cracks: An efficient numerical approach.呼吸裂纹处兰姆波的非线性散射与模式转换:一种高效数值方法。
Ultrasonics. 2019 Apr;94:202-217. doi: 10.1016/j.ultras.2018.09.011. Epub 2018 Sep 25.
9
Guided Wave Based Crack Detection in the Rivet Hole Using Global Analytical with Local FEM Approach.基于全局解析与局部有限元方法的铆钉孔导波裂纹检测
Materials (Basel). 2016 Jul 21;9(7):602. doi: 10.3390/ma9070602.
10
Combined analytical FEM approach for efficient simulation of Lamb wave damage detection.用于兰姆波损伤检测高效模拟的组合分析有限元方法
Ultrasonics. 2016 Jul;69:116-28. doi: 10.1016/j.ultras.2016.03.019. Epub 2016 Apr 1.