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Damage Detection of Cross-Plied CFRP Laminates Based on Rectangular Differential Pulse Eddy Current Sensors 基于矩形差分脉冲涡流传感器的CFRP交叠板损伤检测
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-09-03 DOI: 10.1080/09349847.2021.1985669
W. Fan, Haotian Zhang
ABSTRACT Carbon fiber reinforced polymer (CFRP) laminates are extensively used in aviation due to their excellent material properties. Damages resulted from manufacturing or usage seriously undermine the safety of aircraft structures. Therefore, the efficient detection of the damage in CFRP laminates is important. In this paper, three kinds of common damages including impact damage, crack damage and delamination damage are detected based on pulsed eddy current (PEC) with rectangular differential sensors. Firstly, to overcome shortcomings of traditional PEC sensors, an optimized rectangular differential sensor is proposed in the study. Then, a normalization method is introduced to process the differential signal obtained with the sensor. Finally, the relationship between the size of the damage and the normalized differential signal is investigated. The investigation results show that the rectangular differential sensor can detect the three types of damages. When a new damage object is detected, the measurement step of a reference signal is omitted. The peak value of the normalized differential signal increases with the increase in damage size. The new PEC method has been proved in the study.
碳纤维增强聚合物(CFRP)层压板以其优异的材料性能在航空领域得到了广泛的应用。在制造或使用过程中造成的损坏严重影响了飞机结构的安全。因此,对碳纤维复合材料层合板进行有效的损伤检测具有重要意义。本文采用矩形差分脉冲涡流传感器对冲击损伤、裂纹损伤和分层损伤三种常见损伤进行了检测。首先,针对传统脉冲电流传感器的不足,提出了一种优化的矩形差动传感器。然后,引入一种归一化方法对传感器得到的差分信号进行处理。最后,研究了损伤大小与归一化差分信号之间的关系。研究结果表明,矩形差动传感器可以检测到三种类型的损伤。当检测到新的损伤物体时,省略了参考信号的测量步骤。归一化差分信号的峰值随损伤尺寸的增大而增大。该方法在实验中得到了验证。
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引用次数: 1
Acoustic Properties of Steel Bridge Base Metals 钢桥基本金属的声学特性
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-09-03 DOI: 10.1080/09349847.2021.1999544
C. J. Schroeder, R. Connor, B. Crowley, G. Washer
ABSTRACT Ultrasonic testing (UT) is typically conducted to locate and classify (or rate) defects in welds during bridge fabrication. Variations in acoustic properties such as attenuation and velocity can have an impact on the UT results. Defects in welds may be missed, incorrectly rated, or incorrectly located, and false calls may occur that require unnecessary repairs. The objective of the research was to assess the impact of variations in acoustic properties on the ultrasonic testing of bridge steel. This paper describes the results of acoustic property measurements of 14 different material heats representing various grades of steel plate used in bridges. The attenuation of various bridge base materials was evaluated using 2.25 MHz and 5 MHz transducers. Shear wave velocities and acoustic anisotropy ratios were also determined for some of these steels using normal incidence shear wave and electromagnetic acoustic (EMAT) transducers. The experimental results as well as CIVA-UT simulation software were used to develop recommended changes to the AWS D1.5 Bridge Welding Code in order to limit the amplitude and location measurement errors for weld flaws.
超声检测(UT)通常用于桥梁制造过程中焊缝缺陷的定位和分类(或评估)。衰减和速度等声学特性的变化会对UT结果产生影响。焊缝中的缺陷可能会被遗漏,被错误地评定,或被错误地定位,并且可能会发生错误的呼叫,需要不必要的修理。本研究的目的是评估声学特性的变化对桥梁钢超声检测的影响。本文介绍了14种不同等级桥梁用钢板的声学性能测量结果。使用2.25 MHz和5 MHz换能器评估各种桥基材料的衰减。还使用正入射横波和电磁声(EMAT)换能器测定了这些钢的横波速度和声学各向异性比。利用实验结果和CIVA-UT仿真软件对AWS D1.5《桥梁焊接规范》提出修改建议,以限制焊接缺陷的幅度和位置测量误差。
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引用次数: 0
Editor’s Letter 编辑的信
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-08-24 DOI: 10.1080/09349847.2021.1961041
(2021). Editor’s Letter. Research in Nondestructive Evaluation: Vol. 32, No. 5, pp. 191-191.
(2021)。编辑的信。无损评价研究,第32卷,第5期,第191-191页。
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引用次数: 0
Guided Wave Studies for Enhanced Acoustic Emission Inspection 增强声发射检测的导波研究
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-08-19 DOI: 10.1080/09349847.2021.1959692
J. Rose
ABSTRACT Fundamental elements of wave mechanics are covered with respect to Acoustic Emission (AE) analysis in Nondestructive Evaluation (NDE) and Structural Health monitoring (SHM). Emphasis is placed on aspects of Ultrasonic Guided Waves that travel in a structure due to elastic wave emissions from a defect source as defects continue to grow. The AE Method is based on the emission of elastic waves from a particular source as failure is initiated – crack, corrosion, leak, and so on. The AE signal received is a function of the source orientation and location as well as wave velocities in the structure, sensor types and positions, arrival time differences, thicknesses of the structure, and specimen structural variations. Such topics as Guided wave physical and theoretical considerations, Ultrasonic Guided wave accomplishments, and enhanced AE by considering various guided wave concepts are discussed. The topic of Acousto-Ultrasonics and its impact on guided wave understanding is also reviewed. This paper illustrates how principles in Ultrasonic Guided waves can be applied to Acoustic Emission. Besides basic issues, Acoustic Emission enhancement possibilities are based on recent studies of Ultrasonic Guided Waves and the use of Shear Horizontal guided waves in Acoustic Emission along with an omni-directional shear horizontal wave transducer. Editor’s note: Joseph L. Rose, PhD, is the recipient of the 2021 ASNT Research Recognition for Sustained Excellence. Rose presented on “Guided Wave Studies for Enhanced Acoustic Emission Inspection” during the ASNT Research Symposium which was held 27–29 April 2021.
波力学的基本原理涵盖了无损评价(NDE)和结构健康监测(SHM)中的声发射(AE)分析。重点放在超声导波的各个方面,由于缺陷源的弹性波发射,当缺陷继续增长时,超声波导波在结构中传播。声发射方法是基于在破坏开始时从特定源发射的弹性波-裂纹,腐蚀,泄漏等。接收到的声发射信号与震源方向和位置、结构中的波速、传感器类型和位置、到达时间差异、结构厚度和试样结构变化有关。讨论了导波的物理和理论考虑、超声导波的成就以及通过考虑各种导波概念来增强声发射等主题。本文还综述了声超声学及其对导波理解的影响。本文阐述了超声导波原理在声发射中的应用。除了基本问题之外,声发射增强的可能性基于超声导波的最新研究和剪切水平导波在声发射中的应用以及全方位剪切水平波换能器。编者按:Joseph L. Rose博士获得了2021年ASNT持续卓越研究认可。Rose在2021年4月27日至29日举行的ASNT研究研讨会上发表了“增强声发射检测的导波研究”。
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引用次数: 5
Evaluation of Stress and Stress Concentration Degree Based on the Online Piezomagnetic Measurement 基于在线压磁测量的应力及应力集中度评价
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-08-07 DOI: 10.1080/09349847.2021.1963022
S. Bao, Qiang Luo, Zhengye Zhao, Yibin Gu
ABSTRACT The goal of this research is to correlate the piezomagnetic field with the stress and the stress concentration degree of ferromagnetic steels. Specimens of X80 steels were machined into smooth plates with circular holes in the center and tensile tests were carried out to detect the online piezomagnetic field on the surface of defective specimens. The relationship between the distribution of the stress and the distribution of the piezomagnetic field components was systematically investigated. Compared with the normal component and its gradient, the tangential component showed a better correlation with the distribution of the stress. A piezomagnetic parameter was defined to characterize the abnormal changes of the tangential component around the defect. Quantitative algorithms were established to evaluate the stress concentration degree on the basis of piezomagnetic parameters. This research will be a supplement of stress evaluation methods based on magnetic measurement technologies.
摘要:本研究的目的是将压磁场与铁磁性钢的应力和应力集中程度联系起来。将X80钢试样加工成中间有圆孔的光滑板材,进行拉伸试验,检测缺陷试样表面的在线压磁场。系统地研究了应力分布与压磁场分量分布的关系。与法向分量及其梯度相比,切向分量与应力分布的相关性更好。定义了一个压磁参数来表征缺陷周围切向分量的异常变化。建立了基于压磁参数的应力集中程度定量评价算法。本研究将是对基于磁测技术的应力评价方法的补充。
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引用次数: 1
Characteristics of Eddy Current Attenuation in Metal Clad Plates and Measurement of Cladding Thickness 金属复层板涡流衰减特性及复层厚度测量
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-07-04 DOI: 10.1080/09349847.2021.1930306
Quan Zhang, Jiayi Li, Yanfei Liao, Z. Zeng, Junming Lin, Yonghong Dai
ABSTRACT A metal clad plate consists of a base layer and a clad layer of different materials. When testing clad plate using the eddy current (EC) method, the variation of EC density along the thickness direction in clad plate is complicated owing to the interface between the layers. This article attempts to investigate the characteristics of the variation of EC density in the thickness direction in clad plate based on finite element analysis. The results are then used for revealing the mechanism of the relation between coil voltage and the thickness of the clad layer which is essential for the measurement of cladding thickness. Thereupon, the experiment of measuring cladding thickness is performed, in which the testing frequency is selected based on the voltage-thickness relation. It turns out that the measurement is accurate and the results have good linearity.
金属覆层板由基材层和不同材料的覆层组成。电涡流法检测复合板时,由于层间存在界面,电涡流密度沿厚度方向的变化较为复杂。本文尝试用有限元方法研究复合板中EC密度在厚度方向上的变化特征。研究结果用于揭示线圈电压与覆层厚度之间的关系机理,这对覆层厚度的测量至关重要。为此,进行了包层厚度测量实验,根据电压-厚度关系选择测试频率。结果表明,测量结果准确,线性度好。
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引用次数: 2
Baseline-Free Damage Identification Method for Lattice Sandwich Structures Based on Operational Deflection Shapes 基于工作挠度形状的格子夹层结构无基线损伤识别方法
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-07-04 DOI: 10.1080/09349847.2021.1946224
K. Feng, Qian Zhao, Zheng Li
ABSTRACT A novel baseline-free damage identification method based on high frequency operational deflection shapes (ODSs) is presented for debonding detection in lattice sandwich structures (LSSs). Two numerical models with different unit cells are constructed to analyze the vibration characteristics of a structure with debonded defect in the high-frequency band. The mode shapes and ODSs are computed numerically to investigate the local defect vibration effects. The results show that there will be obvious local vibration at the damaged location at a certain and appropriate frequency band. A baseline-free damage index calculated from ODSs is originally proposed for damage imaging. For experimental validation, we suggested an intermittent periodic excitation signal for vibration actuating, which may excite multiple ODSs at different frequencies using one measurement that significantly improve the detection efficiency. The experimental results also indicated that the proposed damage identification method is effective to locate the debonding damage in LSSs. The conclusions derived from this study are expected to provide an efficient vibration measurement technique and a practical damage detection method for LSSs, as well as other plate-like structures.
提出了一种基于高频工作挠度形状(ODSs)的无基线损伤识别方法,用于晶格夹层结构(lss)的脱粘检测。建立了两种不同单元格的数值模型,分析了含脱粘缺陷结构在高频波段的振动特性。数值计算了模态振型和损耗线,研究了局部缺陷振动效应。结果表明,在一定合适的频带内,损伤部位会出现明显的局部振动。最初提出了一种基于ods计算的无基线损伤指数,用于损伤成像。为了实验验证,我们提出了一种间歇周期激励信号用于振动驱动,该信号可以在一次测量中激发多个不同频率的ods,从而显着提高检测效率。实验结果也表明,所提出的损伤识别方法能够有效地定位lss的脱粘损伤。本研究的结论有望为lss及其他类板结构提供一种有效的振动测量技术和实用的损伤检测方法。
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引用次数: 1
In Situ Measurement of Concrete Static Modulus of Elasticity: Proof of Concept Implementation 混凝土静态弹性模量的原位测量:概念实现的证明
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-07-04 DOI: 10.1080/09349847.2021.1948154
D. Mante, Z. Coleman, Christopher Romano, Tony Simmonds
ABSTRACT This paper reports a laboratory implementation of a prototype sensor for the measurement of in situ concrete static modulus of elasticity. Sensor measurements for a trial concrete mixture were generated, post-processed, and calibrated to best match companion ASTM C469 modulus of elasticity testing performed on the same mixture for concrete ages up to 28 days. The sensor prototype measurements demonstrated close agreement with ASTM C469 testing with approximately 90% of calibrated sensor prototype measurements within ±5% of companion testing. The initial sensor prototype implementation reported in this study affirms the feasibility of in situ concrete modulus of elasticity measurement and justifies further sensor development and implementation efforts.
本文报道了一种用于测量现场混凝土静态弹性模量的原型传感器的实验室实现。对试验混凝土混合物的传感器测量值进行了生成、后处理和校准,以最佳地匹配ASTM C469对同一混合物进行的长达28天的混凝土龄期弹性模量测试。传感器原型测量结果与ASTM C469测试结果非常吻合,大约90%的校准传感器原型测量结果在±5%的伴随测试范围内。本研究中报告的初始传感器原型实现肯定了原位混凝土弹性模量测量的可行性,并证明了进一步的传感器开发和实现努力。
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引用次数: 1
Computation and Storage Efficient Sparse MART Algorithm for 2-D, 3-D Reconstruction from Fan Beam, Cone-Beam Projection Data 扇形梁、锥形梁投影数据二维、三维重建的高效稀疏MART算法
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-06-19 DOI: 10.1080/09349847.2021.1928350
Sudhir Kumar Chaudhary, P. Munshi
ABSTRACT Algebraic reconstruction algorithms are a better choice compared to transform-based algorithms whenever projection data is limited in nature. High computational cost and huge memory requirements are two major downsides of iterative reconstruction methods. Among all algebraic techniques, the Multiplicative Algebraic Reconstruction Technique (MART) is most popular because it maximizes the entropy (of the image) in the limiting case. In the present work, our ultimate goal is to reduce computational complexity and cope with the huge storage scenario of the MART algorithm. We propose a new sparse MART algorithm (Sp-MART) and test it with two-dimensional and three-dimensional (2D/3D) numerical data. A more accurate and efficient geometrical formula for calculating intersection length is also presented. Experimental projection data of human tooth and drip irrigation pipe is processed for further validation of the Sp-MART algorithm. Reconstructions of real specimens are also done using the FDK algorithm. The difference between two algorithms are investigated by calculating the structural similarity index (SSIM) and the L2 error of the results.
在投影数据有限的情况下,与基于变换的算法相比,代数重构算法是更好的选择。高计算成本和巨大的内存需求是迭代重建方法的两个主要缺点。在所有代数技术中,乘法代数重建技术(MART)是最受欢迎的,因为它在极限情况下最大化了(图像的)熵。在目前的工作中,我们的最终目标是降低计算复杂度,并应对MART算法的巨大存储场景。本文提出了一种新的稀疏MART算法(Sp-MART),并用二维和三维(2D/3D)数值数据对其进行了测试。提出了一种更精确、更有效的计算交长几何公式。为了进一步验证Sp-MART算法的有效性,对人类牙齿和滴灌管的实验投影数据进行了处理。利用FDK算法对真实标本进行了重建。通过计算结果的结构相似指数(SSIM)和L2误差,分析了两种算法的差异。
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引用次数: 3
A Neural Network System for Fault Prediction in Pipelines by Acoustic Emission Techniques 基于声发射技术的管道故障预测神经网络系统
IF 1.4 4区 材料科学 Q3 MATERIALS SCIENCE, CHARACTERIZATION & TESTING Pub Date : 2021-06-08 DOI: 10.1080/09349847.2021.1930305
Francesco Noseda, Luiza Ribeiro Marnet, Carlos Carlim, Luiz Rennó Costa, N. D. M. De Moura Junior, Luiz Pereira Calôba, S. D. Soares, Thomas Gabriel Rosauro Clarke, Ricardo Callegari Jacques
ABSTRACT The problem of evaluating the risk of failure associated with the propagation of a crack in a pipe under pressure has great practical relevance, and it may be tackled with acoustic-emission techniques. Artificial neural networks may be trained to classify the acoustic emissions generated by the crack according to the phase of propagation, and such a classification permits to evaluate the risk of mantaining a system in operation. In order to train the network, a human specialist has to estimate the transition times between any two consecutive phases by inspecting the results of a previous hydrostatic test, and such determination of the transition times has a high degree of subjectivity and uncertainty, affecting the classification performance of the network. In this paper, we propose a human-independent method for the estimation of the transition times, and we show successful applications to the data from two hydrostatic tests. For a test on a 2 m-long pipe, the method exhibited 98% of correct-classification rate, an improvement of 8% over results obtained with human-determined transition times. For a 40 m-long pipe, under experimental conditions comparable to those found in industrial applications, the method exhibited 91% of correct-classification rate. The proposed method provides a fully automated framework for the evaluation of the state of a crack.
评估管道在压力下裂纹扩展的失效风险问题具有很大的实际意义,可以用声发射技术来解决。可以训练人工神经网络,根据传播阶段对裂纹产生的声发射进行分类,这样的分类允许评估维持系统运行的风险。为了训练网络,人类专家必须通过检查之前的静水试验结果来估计任意两个连续阶段之间的过渡时间,这种过渡时间的确定具有高度的主观性和不确定性,影响网络的分类性能。在本文中,我们提出了一种不依赖于人的方法来估计过渡时间,并成功地应用于两个流体静力试验的数据。在一个2米长的管道测试中,该方法显示出98%的正确分类率,比人工确定过渡时间的结果提高了8%。对于40米长的管道,在与工业应用相媲美的实验条件下,该方法的正确分类率为91%。提出的方法为裂缝状态评估提供了一个完全自动化的框架。
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引用次数: 3
期刊
Research in Nondestructive Evaluation
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