Ndt & E International最新文献_第2页

Broadband acoustic resonance excitation method in gas pipelines via integrated frequency response compensation and spider wasp optimizer 基于集成频响补偿和黄蜂优化的输气管道宽带声共振激励方法

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-02-09 DOI: 10.1016/j.ndteint.2026.103671

Rongxue Li, Lijian Yang, Zheng Lian, Hao Geng, Feiyun Liu

{"title":"Broadband acoustic resonance excitation method in gas pipelines via integrated frequency response compensation and spider wasp optimizer","authors":"Rongxue Li, Lijian Yang, Zheng Lian, Hao Geng, Feiyun Liu","doi":"10.1016/j.ndteint.2026.103671","DOIUrl":"10.1016/j.ndteint.2026.103671","url":null,"abstract":"<div><div>Ultrasonic testing (UT) offers high precision for pipeline integrity assessment, but its reliance on liquid couplants prevents its application in gas pipelines. Air-coupled acoustic resonance technology offers a promising couplant-free alternative, enabling practical in-service inspection. However, the narrow bandwidth and limited efficiency of air-coupled transducers (ACTs) constrain broadband excitation and precise resonance identification, thereby reducing detection sensitivity and resolution. To overcome these limitations, a novel adaptive broadband excitation method is developed. Its core is a newly designed frequency-response-compensated linear frequency modulation (LFM) signal, which dynamically counteracts ACT frequency-dependent attenuation and effectively broadens the useable excitation bandwidth. Furthermore, to automate the selection of the three key parameters for this excitation signal, an adaptive optimization framework is introduced that integrates the spider wasp optimizer (SWO) with a newly proposed spectral equilibrium consistency metric (SECM), thereby eliminating subjective empirical tuning. Experimental results demonstrate that the proposed method suppresses interference from the transducer's central frequency band, enhances higher-order resonance amplitudes, and delivers high-precision thickness measurement along with reliable defect-induced resonance identification. This integrated methodology significantly improves the sensitivity and reliability of air-coupled resonance detection, offering a robust solution for in-service pipeline integrity monitoring.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103671"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189502","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

A fast numerical method for low-power vibrothermography nondestructive testing of fatigue cracks 疲劳裂纹小功率振动热成像无损检测的快速数值方法

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-08 DOI: 10.1016/j.ndteint.2026.103642

Yang Yang , Bofan Liu , Zongfei Tong , Hong-En Chen , Jianguo Zhu , Cuixiang Pei , Shejuan Xie , Hao Su , Zhenmao Chen

{"title":"A fast numerical method for low-power vibrothermography nondestructive testing of fatigue cracks","authors":"Yang Yang , Bofan Liu , Zongfei Tong , Hong-En Chen , Jianguo Zhu , Cuixiang Pei , Shejuan Xie , Hao Su , Zhenmao Chen","doi":"10.1016/j.ndteint.2026.103642","DOIUrl":"10.1016/j.ndteint.2026.103642","url":null,"abstract":"<div><div>Fatigue crack is a typical defect initiated in key engineering structures under dynamic loads. The propagation of fatigue cracks would significantly shorten the structural service life and even cause serious accidents. The vibrothermography (VT), as a promising non-destructive testing (NDT) technique, presents great potential for fatigue crack inspection due to its internal heating mode and applicable for both metallic and nonmetallic materials. However, the multi-parameters optimization and agent model building of VT system put forward higher requirements of an efficient numerical simulation technique for VT signals. In this paper, a fast numerical method for low-power VT under high frequency excitation is proposed and validated. For efficient simulation of dynamic displacement, the element birth and death method is utilized to adjust the coefficient matrix of finite element based on the contact or separation state of crack surface. This method can cope with the complex nonlinear phenomenon of crack closing properly while maintaining computational feasibility during vibration analysis. For the simulation of temperature field of VT, the energy equivalent method proposed by authors is employed to address the efficiency problem of the direct time domain integration for the high-frequency excitation. By linearizing the heat source, the present method can reduce computational burden while preserving numerical accuracy, enabling efficient simulation of the thermal field during VT process. Finally, the proposed method is validated via numerical simulations and experiments which show that the method is over six times faster than the commercial software but with a comparablenumerical precision.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103642"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979263","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

Velocity field inversion for heterogeneous concrete and recognition of near-surface rebar using ultrasonic waves 非均质混凝土的速度场反演及近表面钢筋的超声识别

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-29 DOI: 10.1016/j.ndteint.2026.103657

Yunfei Zou , Zhiyong Xu , Zijian Wang , Zhishen Wu

{"title":"Velocity field inversion for heterogeneous concrete and recognition of near-surface rebar using ultrasonic waves","authors":"Yunfei Zou , Zhiyong Xu , Zijian Wang , Zhishen Wu","doi":"10.1016/j.ndteint.2026.103657","DOIUrl":"10.1016/j.ndteint.2026.103657","url":null,"abstract":"<div><div>The Total Focusing Method (TFM) is widely used for imaging and recognizing the interior of underwater concrete. However, the TFM relies on known wave velocities and cannot invert material properties, resulting in resolution limitations. To this end, this study presents an improved Full Waveform Inversion (FWI) approach that can invert the velocity field characterizing heterogeneous concrete, enabling accurate recognition of rebars near the surface. First, the polarization characteristics of shear horizontal waves are used to suppress the mode conversion of ultrasounds, thereby simplifying the wavefield. Second, source signal estimation combined with a parabolic search algorithm is implemented to iteratively update the optimal source wavelet and step size, improving inversion stability. Third, a weighting function is introduced to suppress interference from interfacial waves, thereby enabling the inversion of high-resolution velocity fields. Additionally, a detection method is proposed for accurate recognition of rebars and structural interfaces. Experimental results demonstrate that the improved FWI method outperforms traditional TFM in both localization and diameter accuracy. Specifically, the mean error of rebar localization is reduced from 1.76 cm to 0.27 cm, while the mean error of diameter decreases from 0.94 cm to 0.36 cm. These advancements extend the application of FWI from seismic wavefield to underwater concrete, advancing the fields of non-destructive testing and structural health monitoring.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103657"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146189549","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

Remote field eddy current monitoring of hole-edge cracks in bolted joints: Theoretical modeling and experimental validation 螺栓连接孔边裂纹远场涡流监测：理论建模与实验验证

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-27 DOI: 10.1016/j.ndteint.2026.103660

Jun Hou, Hu Sun, Xinlin Qing

引用次数: 0

Characterization of localized porosity in laminated composites using ultrasonic interferometry 用超声干涉测量法表征层合复合材料的局部孔隙度

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-28 DOI: 10.1016/j.ndteint.2026.103658

William Lucas , Florence Saffar , Tony Valier-Brasier , Alverède Simon

引用次数: 0

The methodology of defect thermal characterization in pulsed thermal NDT based on 3D numerical solutions and polynomial approximation 基于三维数值解和多项式近似的脉冲热无损检测缺陷热表征方法

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-14 DOI: 10.1016/j.ndteint.2026.103639

Vladimir Vavilov, Arsenii Chulkov, Olesia Ganina, Marina Kuimova, Oleg Makushev

{"title":"The methodology of defect thermal characterization in pulsed thermal NDT based on 3D numerical solutions and polynomial approximation","authors":"Vladimir Vavilov, Arsenii Chulkov, Olesia Ganina, Marina Kuimova, Oleg Makushev","doi":"10.1016/j.ndteint.2026.103639","DOIUrl":"10.1016/j.ndteint.2026.103639","url":null,"abstract":"<div><div>This study presents a comprehensive methodology for characterizing air-filled finite-size defects in materials with varying thermal properties using pulsed thermal nondestructive testing (TNDT). We numerically solve the three-dimensional heat transfer problem for 729 test cases encompassing defects with different lateral dimensions, depths, and thicknesses in both metallic and non-metallic materials. The analysis yields maximum temperature contrasts and their corresponding observation times, while investigating the influence of defect geometry on thermal signatures. An analytical expression for predicting observation times is derived to complement the numerical results.</div><div>The computational results are fitted with polynomial functions to enable rapid estimation of optimal TNDT parameters. This approach provides a practical framework for evaluating detection limits across a wide range of material properties and defect geometries. System-wide analysis reveals mean errors of 60 % for temperature contrast evaluation and 36 % for determination of observation times. Experimental validation using reference samples demonstrates measurement accuracies of 14–35 % for temperature contrasts and 2–8 % for observation times. The proposed inverse solution achieves particularly accurate depth characterization (<14 % error), though thickness estimation shows greater variability (up to 61 % error).</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103639"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145979242","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

Delamination detection in composite laminates using Lamb wave tomographic method based on sparse and probabilistic reconstruction 基于稀疏重建和概率重建的Lamb波层析检测复合材料层合板的分层检测

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-16 DOI: 10.1016/j.ndteint.2026.103650

Tong Tong , Wan Qu , Jiadong Hua , Daogui Chen , Jinghan Tan , Jing Lin

{"title":"Delamination detection in composite laminates using Lamb wave tomographic method based on sparse and probabilistic reconstruction","authors":"Tong Tong , Wan Qu , Jiadong Hua , Daogui Chen , Jinghan Tan , Jing Lin","doi":"10.1016/j.ndteint.2026.103650","DOIUrl":"10.1016/j.ndteint.2026.103650","url":null,"abstract":"<div><div>Composite materials are widely employed in many industrial fields, and transmitted Lamb wave-based methods, represented by tomography, have been widely utilized for delamination detection in composite laminates. Nevertheless, conventional Lamb wave tomography may suffer from large artifacts and other problems. To break these limitations, a Lamb wave tomographic method based on sparse and probabilistic reconstruction for delamination detection in composite laminates is proposed in this study. Firstly, Lamb wave propagation in delaminated laminates is analyzed, from which it can be derived that delamination can cause the time-of-flight (ToF) delay of A0 mode. Then, differences in ToF between intact and delaminated laminates are calculated and constitute the time difference vector, which can be represented by the product of the length matrix and the slowness difference vector. Since the delamination distribution is sparse, the slowness difference vector satisfies the sparse assumption, which indicates that it can be solved with sparse reconstruction techniques. Furthermore, to improve the quality of sparse reconstruction, the probability distribution is introduced as a prior weight during the solving procedure. Finally, numerical and experimental investigations are implemented. The imaging results can provide a more precise estimation of delamination size and location, which demonstrates the performance improvement of the presented approach.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103650"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146034887","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 Tensile-Induced Subsurface Damages of Woven Glass Fiber Reinforced Polymer Using Terahertz Time-of-Flight Tomography 利用太赫兹飞行时间层析成像技术监测编织玻璃纤维增强聚合物拉伸引起的亚表面损伤

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-22 DOI: 10.1016/j.ndteint.2026.103645

Min Zhai , Haoyue Pan , Bin Xiao , Haolian Shi , Zhang Qu , Wenlong He , Cong Zhai , Yi Tang

引用次数: 0

Ultrasonic characterisation of process-induced pores in selective laser melted TiB2/Al composites 选择性激光熔化TiB2/Al复合材料中工艺诱导气孔的超声表征

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2025-12-31 DOI: 10.1016/j.ndteint.2025.103629

Kaiwen Ni , Qiuyu Li , Ming Huang , Yuan Liu

{"title":"Ultrasonic characterisation of process-induced pores in selective laser melted TiB2/Al composites","authors":"Kaiwen Ni , Qiuyu Li , Ming Huang , Yuan Liu","doi":"10.1016/j.ndteint.2025.103629","DOIUrl":"10.1016/j.ndteint.2025.103629","url":null,"abstract":"<div><div>Process-induced pores in metal additive manufacturing (AM) components critically compromise mechanical performance, necessitating reliable characterisation methods for quality assurance. While ultrasound offers promising advantages for rapid, non-destructive evaluation with deep penetration, existing studies struggle to isolate pore effects from confounding grain scattering. This work overcomes these limitations by investigating selective laser melted TiB<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span>/Al composites, whose ceramic-reinforced microstructure exhibits refined equiaxed grains and minimal texture, effectively suppressing grain scattering to reveal fundamental pore-ultrasound interactions. We systematically examined how porosity (0.22%–2.21%), morphology, and size distribution influence ultrasonic attenuation and velocity. This was achieved through integrated experimental measurements and three-dimensional pore-scale finite element simulations incorporating realistic pores derived from stereological transformation of microscopy data. Our findings reveal hierarchical pore effects: porosity exhibits strong linear correlations with both attenuation coefficient and phase velocity under the same pore morphology conditions; irregular morphologies amplify these effects, generating fivefold higher attenuation sensitivity and twofold higher velocity sensitivity compared to spherical pores; size variations primarily affect attenuation with minimal velocity impact. Additional, we demonstrated ultrasound’s spatial mapping capability for detecting subtle microstructural heterogeneities, with attenuation exhibiting superior porosity sensitivity. These quantitative pore-ultrasound relationships establish a robust framework for non-destructive evaluation in metal AM, enabling morphology-sensitive quality control and process optimisation for safety-critical applications.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103629"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145898014","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

Application of AI-based techniques for concrete air permeability classification 基于人工智能技术在混凝土透气性分类中的应用

IF 4.5 2区材料科学

Ndt & E International Pub Date : 2026-05-01 Epub Date: 2026-01-27 DOI: 10.1016/j.ndteint.2026.103662

Jelena Bijeljić , Emina Petrović , Ernst Niederleithinger

{"title":"Application of AI-based techniques for concrete air permeability classification","authors":"Jelena Bijeljić , Emina Petrović , Ernst Niederleithinger","doi":"10.1016/j.ndteint.2026.103662","DOIUrl":"10.1016/j.ndteint.2026.103662","url":null,"abstract":"<div><div>Despite the growing interest in applying artificial intelligence (AI) in civil engineering, its use for evaluating concrete properties remains relatively underexplored. In particular, the assessment of air permeability, a key parameter for concrete durability and long-term performance, has not been extensively addressed using AI-based approaches.</div><div>Traditional methods, such as the Torrent test, provide reliable measurements but are time-consuming, labor-intensive, and require specialized equipment. In this study, an image-based deep learning framework was employed, where surface images of concrete specimens served as input data, and the air permeability coefficient <em>kT</em>, measured using the Torrent tester, was used as ground truth. Concrete mixtures were categorized into two classes: “Poor” (low quality) and “Very Poor” (very low quality). Nine batches of cement-based concrete mixtures were prepared, varying in maximum aggregate size and the dosage of air-entraining agents (LP). Deep learning models were developed to link visual surface features with the corresponding air permeability classes. Model performance was evaluated using a combination of statistical measures, including accuracy, precision, recall, F1-score, confusion matrices, ROC-AUC, and PR-AUC, computed across all folds of a 10-fold cross-validation procedure. One-way ANOVA and Tukey's HSD post-hoc test were applied to verify the statistical significance of performance differences. For models achieving the best performance, Gradient-weighted Class Activation Mapping (Grad-CAM) was used to highlight image regions that most strongly influenced the CNN predictions, providing visual insight into the learned feature representations. The results demonstrated that the ResNet50 architecture achieved the most reliable classification performance, highlighting the potential of image-based AI approaches for non-destructive, automated, and field-applicable assessment of concrete air permeability.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"160 ","pages":"Article 103662"},"PeriodicalIF":4.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146078176","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