Ndt & E International最新文献_第4页

Passive wall thickness monitoring using acoustic emission excitation 利用声发射激励进行被动壁厚监测

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-20 DOI: 10.1016/j.ndteint.2024.103241

Natalie Reed, Joseph Corcoran

{"title":"Passive wall thickness monitoring using acoustic emission excitation","authors":"Natalie Reed, Joseph Corcoran","doi":"10.1016/j.ndteint.2024.103241","DOIUrl":"10.1016/j.ndteint.2024.103241","url":null,"abstract":"<div><div>Erosion-corrosion is a problematic damage mechanism for the oil and gas industry. To manage the risk of erosion-corrosion networks of particle impact monitoring systems have been installed on pipelines in order to detect acoustic emission from abrasive sand particles impacting the inside surface of the pipe. It would be of value if the existing network of particle impact monitoring systems were not only capable of detecting particle impact, but also sizing the remaining wall thickness. Particle impact monitoring systems are passive and are not generally equipped for excitation. This paper explores the feasibility of using passive acoustic emission transducers for wall thickness measurement, utilizing the fact that active pulse-echo measurements can be approximated by autocorrelating diffuse acoustic waves, such as those generated by particle impact. Two measurement modalities are presented: a) time-of-flight measurements and b) resonant ultrasound spectroscopy measurements. The more usual time-of-flight based measurement is limited by the fact that acoustic emission transducers typically have sensitive bandwidths limited to <1 MHz. The relatively low frequency operation limits the use to thick wall components where the component thickness ≫ ultrasonic wavelength. In thinner walled components a resonant ultrasound spectroscopy approach is required. Experimental measurements are shown that are truly passive (with no purposeful excitation at all), and semi-passive, utilizing acoustic emission from sand impact or compressed air as the excitation source. Results show very good agreement with active measurements.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103241"},"PeriodicalIF":4.1,"publicationDate":"2024-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative domain-adapted adversarial auto-encoder model for enhanced ultrasonic imaging applications 用于增强超声波成像应用的生成域适应性对抗自动编码器模型

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-19 DOI: 10.1016/j.ndteint.2024.103234

Gerardo Emanuel Granados , Filippo Gatti , Roberto Miorelli , Sébastien Robert , Didier Clouteau

{"title":"Generative domain-adapted adversarial auto-encoder model for enhanced ultrasonic imaging applications","authors":"Gerardo Emanuel Granados , Filippo Gatti , Roberto Miorelli , Sébastien Robert , Didier Clouteau","doi":"10.1016/j.ndteint.2024.103234","DOIUrl":"10.1016/j.ndteint.2024.103234","url":null,"abstract":"<div><p>In this study, we propose a class-conditioned Generative Adversarial Autoencoder (cGAAE) to improve the realism of simulated ultrasonic imaging techniques, in particular the Multi-modal Total Focusing Method (M-TFM), based on the availability of both simulated and experimental TFM images. In particular, this work studied the case of the inspection of a complex geometry block representative of weld-inspection problem based on ultrasonic multi-elements probe. The cGAAE is represented by a tailored learning schema, trained in a semi-supervised fashion on a labeled mixture of synthetic (class 0) and experimental (class 1) M-TFM images, obtained under different meaningful inspection set-ups parameters (i.e., the celerity of the transverse ultrasonic wave, the specimen back-wall slope and height, the flaw tilt and heigh). That is, the cGAAE schema consists in a combination of learning stages involving class-conditioned spatial-transformers and arbitrary style transfer endows the cGAAE of powerful generative features, such as quasi real-time generation of M-TFM images by sweep of the inspection parameters. We exploited the cGAAE model to improve the realism of simulated M-TFM images and enhance the accuracy of the inverse problem, aiming at estimating the inspection parameters based on experimental acquisitions.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103234"},"PeriodicalIF":4.1,"publicationDate":"2024-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274012","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Noise suppression in pulsed IR thermographic NDT: Efficiency of data processing algorithms 脉冲红外热成像无损检测中的噪声抑制：数据处理算法的效率

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-17 DOI: 10.1016/j.ndteint.2024.103240

V.P. Vavilov , A.O. Chulkov , V.V. Shiryaev , M.V. Kuimova , Hai Zhang

{"title":"Noise suppression in pulsed IR thermographic NDT: Efficiency of data processing algorithms","authors":"V.P. Vavilov , A.O. Chulkov , V.V. Shiryaev , M.V. Kuimova , Hai Zhang","doi":"10.1016/j.ndteint.2024.103240","DOIUrl":"10.1016/j.ndteint.2024.103240","url":null,"abstract":"<div><p>Various types of noise, which accompany active TNDT procedures using optical heating, have been analyzed, both numerically and experimentally. An emphasis has been made on the suppression of surface clutter, which represents local areas of varying absorptivity/emissivity. The concept of signal-to-noise that is typically used in defect detection has been applied to fixed pattern noise in order to compare capabilities of data processing algorithms in reducing surface clutter. The experimental investigation has been fulfilled on a special sample containing both subsurface air-filled defects and areas with varying emissivity/absorptivity. The best suppression of the fixed pattern noise was provided by the complex wavelet transform and principle component analysis. Because of 3D heat diffusion, clutter spot boundaries are often underlined by particular data processing algorithms thus producing specific contours. The test situations where subsurface defects are located under localized clutter spots have been analyzed to demonstrate an overshadowing effect of such spots when detecting hidden defects.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103240"},"PeriodicalIF":4.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274302","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Amplitude-dependent second harmonic Lamb waves for discriminating delamination from background nonlinearities in composite plates 振幅相关二次谐波 Lamb 波用于区分复合板中的分层和背景非线性问题

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-17 DOI: 10.1016/j.ndteint.2024.103238

Shengbo Shan , Chi Zhang , Gujun Wu , Yang Song , Ze Liu , Yuanman Zhang , Li Cheng

{"title":"Amplitude-dependent second harmonic Lamb waves for discriminating delamination from background nonlinearities in composite plates","authors":"Shengbo Shan , Chi Zhang , Gujun Wu , Yang Song , Ze Liu , Yuanman Zhang , Li Cheng","doi":"10.1016/j.ndteint.2024.103238","DOIUrl":"10.1016/j.ndteint.2024.103238","url":null,"abstract":"<div><p>Early detection of delamination in composite materials is crucial to maintaining operational safety and reducing excessive maintenance costs. Second harmonic Lamb waves have demonstrated exceptional sensitivity to micro defects in materials including breathing delamination. However, differentiating the second harmonic Lamb waves generated by delamination from other inevitable background nonlinearities, exemplified by inherent material nonlinearity in composites, poses a significant challenge for the practical implementation of the second harmonic Lamb wave-based detection methods. To address this bottle-necking issue, this study examines the characteristics of second harmonic Lamb waves generated by delamination and material nonlinearity, respectively, aiming at their differentiation based on their respective amplitude-dependent features. Results are verified through finite element analysis and experimental validations alongside the verification of the effectiveness of the proposed discrimination strategy. It is shown that the amplitude of the second harmonic waves induced by the delamination is linearly proportional to the fundamental wave amplitude, while the one by the material nonlinearity exhibits a quadratic relationship with the fundamental wave amplitude. Based on this understanding, damage indices are proposed, which prove to be effective for characterizing these two sources of nonlinearity, thereby paving the way for practical delamination detection in composite structures.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103238"},"PeriodicalIF":4.1,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142274303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Monitoring of damage evolution in carbon fiber reinforced polymer composites by electrical impedance tomography 通过电阻抗断层扫描监测碳纤维增强聚合物复合材料的损伤演变

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-16 DOI: 10.1016/j.ndteint.2024.103239

Xiaoying Cheng , Junling Liu , Kehong Zheng , Zhenyu Wu , Lin Shi , Xudong Hu

引用次数: 0

Ultrasonic waveguide based super resolution imaging using structured channel metamaterial lenses 利用结构化通道超材料透镜实现基于超声波波导的超分辨率成像

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-14 DOI: 10.1016/j.ndteint.2024.103237

Pradeep Kumar, Mohamed Subair Syed Akbar Ali, Sreehari Kollancheri Chelat, Prabhu Rajagopal

{"title":"Ultrasonic waveguide based super resolution imaging using structured channel metamaterial lenses","authors":"Pradeep Kumar, Mohamed Subair Syed Akbar Ali, Sreehari Kollancheri Chelat, Prabhu Rajagopal","doi":"10.1016/j.ndteint.2024.103237","DOIUrl":"10.1016/j.ndteint.2024.103237","url":null,"abstract":"<div><p>The extension of metamaterial concepts to the ultrasonic domain is challenging because of the shorter wavelength, which necessitates the use of spatially narrow band receiving techniques to capture wavefields past fine features of the metamaterial. Currently, the Laser Doppler Vibrometer is the only option with several drawbacks hampering its widespread practical implementation, including cost and sensitivity to external disturbances. This paper proposes a novel waveguide based reception technique to capture the amplified evanescent fields transmitted through the subwavelength features of the metamaterials. Numerical simulations and experiments are carried out on a structured channel metamaterial and a thin stainless steel waveguide attached to a commercial transducer. A practical super resolution ultrasonic imaging down to a third of the operating wavelength is successfully demonstrated in comparison with a commercial laser receiver. The physics of the imaging and dispersion characteristics of the waveguide enabling the process are discussed. The promising results showcase broadband, low-cost, portable alternatives with important implications for high-resolution ultrasonic imaging in industrial and biomedical applications.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103237"},"PeriodicalIF":4.1,"publicationDate":"2024-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Finite-difference time-domain method of ground penetrating radar images for accurate estimation of subsurface pipe properties 利用有限差分时域法处理透地雷达图像，准确估算地下管道特性

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-13 DOI: 10.1016/j.ndteint.2024.103235

Rain Man Raja, Takahiro Yamaguchi, Tsukasa Mizutani

引用次数: 0

Interface stiffness identification of rough and weak bonded interface using developed ultrasonic reflection phase derivative spectrum 利用开发的超声波反射相位导数谱识别粗糙和弱粘接界面的界面刚度

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-13 DOI: 10.1016/j.ndteint.2024.103236

Zhiyuan Ma , Jiwei Yang , Haoyang Shen , Tianzhi Qi , Li Lin

{"title":"Interface stiffness identification of rough and weak bonded interface using developed ultrasonic reflection phase derivative spectrum","authors":"Zhiyuan Ma , Jiwei Yang , Haoyang Shen , Tianzhi Qi , Li Lin","doi":"10.1016/j.ndteint.2024.103236","DOIUrl":"10.1016/j.ndteint.2024.103236","url":null,"abstract":"<div><p>The thickness and interface roughness of coatings both affect the interface bonded quality. Existed ultrasonic testing methods based on traditional phase screen approximation or spring model assumption are difficult to simultaneously identify the interface roughness and stiffness of coating. This paper, a new method for integrated identifying coating thickness, interface roughness, and interface stiffness using developed ultrasonic reflection phase derivative spectrum (URPDS) is proposed. A phase-screen-approximated spring-model (PSASM) for ultrasound vertically propagating into rough and weak bonded interface is constructed. On basis of PSASM, a URPDS of coating/substrate structure is developed for identifying the interface stiffness and other parameters of coated parts. Cross-correlation analysis is used to eliminate the phase deviation of URPDS introduced by reference signal and initial phase of tested signal. Sensitivity analysis is used to determine the high-sensitivity regions of URPDS to interface roughness and interface stiffness. Genetic algorithm optimization is used to achieve integrated identification of coating thickness, interface roughness, and interface stiffness. The rationality of PSASM is verified through numerical simulation using a series of coating/substrate models with rough and weak bonded interface, and the relationship between the high-sensitivity regions and the high-precision measurement ranges of interface roughness <em>Rq</em> and interface stiffness <em>K</em><sub>n</sub> is clarified. Ultrasonic experiments are implemented on Nickel-coating samples and coated parts using plane wave probe. The coating thickness, interface roughness, and interface stiffness could be identified accurately, which shows that the proposed URPDS method can identify the interface stiffness of rough contacted dissimilar media or coated parts with rough interface.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103236"},"PeriodicalIF":4.1,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142240204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acoustic source localization by deep-learning attention-based modulation of microphone array data 通过基于深度学习注意力的麦克风阵列数据调制实现声源定位

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-06 DOI: 10.1016/j.ndteint.2024.103233

Georg Karl Kocur, Denny Thaler, Bernd Markert

{"title":"Acoustic source localization by deep-learning attention-based modulation of microphone array data","authors":"Georg Karl Kocur, Denny Thaler, Bernd Markert","doi":"10.1016/j.ndteint.2024.103233","DOIUrl":"10.1016/j.ndteint.2024.103233","url":null,"abstract":"<div><p>We proposed a deep-learning attention-based methodology to predict acoustic sources obtained from pendulum impact experiments using the Cluster-Self Adaptive Network (CSAN) and showed that the experimental data required for training can be reduced by 50% without losing significant localization accuracy. Acoustic signals due to pendulum impacts on a homogeneous steel plate were recorded by an asymmetric microphone array. Important wavelet features were extracted by transforming the acoustic signals using continuous wavelet functions and reduced the data dimensionality by principal component analysis. Two data sampling strategies (random and Latin hypercube) were investigated to study the effect of the density of training domains on the model performance. The attention-based modulation strategy was employed on microphone positions for data augmentation and prediction of acoustic sources. A comprehensive analysis of the CSAN-based localization results including error estimation was performed. The outcome was contrasted against delay-and-sum beamforming localization results.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103233"},"PeriodicalIF":4.1,"publicationDate":"2024-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0963869524001981/pdfft?md5=3c45c1331f7d4d84f0e91bf1ee6b0971&pid=1-s2.0-S0963869524001981-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142157878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network 通过 FGI 和 MCCF-CondenseNet 卷积神经网络进行基于声发射的焊接裂缝泄漏监测

IF 4.1 2区材料科学

Ndt & E International Pub Date : 2024-09-03 DOI: 10.1016/j.ndteint.2024.103232

Yanlong Yu , Zhifen Zhang , Jing Huang , Yongjie Li , Rui Qin , Guangrui Wen , Wei Cheng , Xuefeng Chen

{"title":"Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network","authors":"Yanlong Yu , Zhifen Zhang , Jing Huang , Yongjie Li , Rui Qin , Guangrui Wen , Wei Cheng , Xuefeng Chen","doi":"10.1016/j.ndteint.2024.103232","DOIUrl":"10.1016/j.ndteint.2024.103232","url":null,"abstract":"<div><p>Online monitoring of weld crack leakage in pressure pipelines of nuclear power ship based on acoustic emission (AE) technology is of great significance for maintaining the safe and stable operation of the system. However, most of the current leakage studies are conducted through artificially designed pipeline hole types, which deviate from the actual crack morphology and are weakly online, with low identification accuracy and slow monitoring speed. Therefore, a convolutional network of FGI and multi-scale channel information cross fusion based on AE technology is proposed in this paper. First, the FBank feature of the AE signal of pipeline weld leakage are extracted. On this basis, the Gini Index (GI) preference feature is used to filter the useless information in the FBank feature. Then, a multi-scale channel information cross fusion module is designed to improve the feature learning ability of the network through the interaction and fusion of different channel information. Finally, the superiority of the proposed FGI feature extraction method and the effectiveness of the proposed multi-scale channel information cross fusion CondenseNet (MCCF-CondenseNet) convolutional neural network are verified by the pipeline leakage AE monitoring experiments under three crack morphologies. The results show that the identification accuracy of the proposed method is as high as 96.42 %, and the identification speed is significantly faster than other state-of-the-art approaches under the premise of ensuring the identification accuracy. This work provides a new method for the online leakage monitoring of nuclear power pressure pipelines, and has important supporting significance for the online leakage monitoring of other large and complex equipment.</p></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"148 ","pages":"Article 103232"},"PeriodicalIF":4.1,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142161584","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0