Ndt & E International最新文献

{"title":"On the selection of distance functions and signal processing techniques for guided wave-based damage identification through a likelihood-free Bayesian framework","authors":"Zijie Zeng,&nbsp;Peifeng Liang,&nbsp;Ching Tai Ng,&nbsp;Abdul Hamid Sheikh","doi":"10.1016/j.ndteint.2025.103472","DOIUrl":"10.1016/j.ndteint.2025.103472","url":null,"abstract":"<div><div>Guided wave (GW)-based structural health monitoring (SHM) has been widely used for damage detection in mechanical, civil and aerospace structures. Bayesian method has been integrated with GW-based approaches to enhance the reliability of defect identification and quantify associated uncertainties. Recently, Approximate Bayesian computation (ABC) has attracted increasing attention as a more general and straightforward alternative in Bayesian damage detection frameworks. ABC performs Bayesian inference through a defined distance function to directly assess the similarity between simulated and measured GW signals, eliminating the need to assume an explicit likelihood function to represent the unknown uncertainty distributions inherent in the data generation process. While extensive studies have been conducted to refine ABC sampling algorithms to improve computational efficacy and effectiveness, the effects of different distance functions and signal processing techniques of GW on the performance of ABC have not been reported. This study proposes an advanced ABC framework for damage identification using GW signals. An advanced ABC algorithm based on nested sampling (ABC-NS) is employed to enhance sampling efficiency. The Spectral finite element (SFE) method for numerical GW simulation is utilised to reduce the computational demand in Bayesian inference. A comprehensive performance assessment of the proposed ABC framework is conducted using experimentally measured GW signals from beam-like structures. The focus is directed to the effects of different combinations of signal processing techniques and distance functions on the damage identification results, convergence efficiency, and the degrees of quantified uncertainties. Based on the results, the damage identification accuracy along with the ability of uncertainty quantification are illustrated using the proposed ABC framework. Recommendations are also provided for the selection of the distance functions and signal processing techniques. Finally, the findings of this research offer insights into further development and improvement of likelihood-free Bayesian framework for the applications in GW based SHM.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103472"},"PeriodicalIF":4.1,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144472077","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}

{"title":"An acoustic lens for displacement-free sectorial inspection of pipes with ultrasonic phased arrays","authors":"Gustavo P. Pires ,&nbsp;Thiago E. Kalid ,&nbsp;Tatiana de A. Prado ,&nbsp;Vinícius L. Costa ,&nbsp;Gabriela R. Pereira ,&nbsp;Thiago A.R. Passarin ,&nbsp;Daniel R. Pipa","doi":"10.1016/j.ndteint.2025.103459","DOIUrl":"10.1016/j.ndteint.2025.103459","url":null,"abstract":"<div><div>Pipes that transport acidic fluids are prone to pitting corrosion, which causes well-localized thickness loss. The detection and measurement of these small flaws via ultrasonic non-destructive testing (UT) requires a fine sampling of the surface of the pipe, which is time-consuming and expensive, especially in places where the inspections require dedicated infrastructure, such as subsea facilities. In this work, we present an acoustic lens that, used with a UT phased array system capable of beam steering, allows for the inspection of large sections (e.g., 90 degrees) of a submerged pipe without any mechanical displacement. The mathematical formulation is derived from geometrical optics, and algorithmic procedures to compute customized delay laws are provided. Practical aspects of the manufacturing and assembly of the device are also described. Spatial resolutions of a prototypical manufactured lens on three axes are assessed on a 140<!--> <!-->mm-diameter pipe and compared to those obtained with a moving single-element transducer, showing competitive resolutions. Measurements of the remaining thicknesses of 1.5<!--> <!-->mm-diameter machined flaws performed with the device provided a mean absolute error of 19% of one wavelength and maximum absolute error of 51% (<span><math><mrow><mi>λ</mi><mo>=</mo><mn>1</mn><mo>.</mo><mn>18</mn><mspace></mspace><mstyle><mi>m</mi><mi>m</mi></mstyle></mrow></math></span>). The results demonstrate the potential of the proposed concept to replace single-element UT, significantly reducing inspection time by removing mechanical displacement otherwise necessary during an axial sweep.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103459"},"PeriodicalIF":4.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330256","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}

{"title":"Enhanced terahertz nondestructive evaluation and stratigraphic reconstruction with filtered deconvolution","authors":"Haolian Shi ,&nbsp;Grace Ham ,&nbsp;Philip Meilland ,&nbsp;D.S. Citrin ,&nbsp;Alexandre Locquet","doi":"10.1016/j.ndteint.2025.103440","DOIUrl":"10.1016/j.ndteint.2025.103440","url":null,"abstract":"<div><div>Terahertz pulsed imaging (TPI) is a valuable tool for nondestructive evaluation (NDE), enabling high-resolution stratigraphic characterization and structural inspection of various materials. However, its accuracy — defined by both the precise localization of peaks and the reduction of spurious peaks — can be limited by challenges such as low signal-to-noise ratio (SNR) and temporally overlapping echoes when layers are thin. While advanced signal-processing methods such as sparse deconvolution (SD) and orthogonal matching pursuit (OMP) have shown promise in addressing these issues, their effectiveness often hinges on careful parameter selection, which typically requires significant expertise. This paper presents a novel approach that enhances the accuracy and simplifies parameter determination in THz TPI by applying SD to a filtered impulse response function in the time domain. This method also aids in OMP parameter determination, further advancing the precision and usability of THz TPI for NDE applications. We demonstrate the effectiveness of the proposed approach by applying it to experimental data obtained from Willow glass on silicon and mill scale on hot-rolled steel strip, showcasing its versatility across different material systems.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103440"},"PeriodicalIF":4.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144335984","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}

{"title":"Creep state assessment of nickel-based superalloy GH4169 using eddy current-TMR testing","authors":"Zhaoyuan Xu ,&nbsp;Jianbo Wu ,&nbsp;Erlong Li ,&nbsp;Zhe Wang ,&nbsp;Jian Tang ,&nbsp;Yuanhong Tao","doi":"10.1016/j.ndteint.2025.103458","DOIUrl":"10.1016/j.ndteint.2025.103458","url":null,"abstract":"<div><div>Superalloys are essential in critical components exposed to prolonged high temperatures and stress. However, creep damage risks degrading material properties and leading to structural failure. This paper proposed eddy current testing for creep state assessment of nickel-based superalloy GH4169 (US Inconel 718) using the tunneling magnetoresistance (TMR) sensor. A specially designed eddy current-TMR probe is employed to detect the attenuation in electrical conductivity caused by creep damage. Post-processing is utilized to extract frequency feature components from signal data and detect subtle magnetic perturbations, allowing for a quantitative assessment of the creep damage state. Experiments conducted on specimens demonstrate the efficacy by establishing a correlation between features and creep life fractions. The study provides an innovative approach for precise and efficient creep damage state evaluation, contributing to the overall safety assessment of superalloy structures.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103458"},"PeriodicalIF":4.1,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321178","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}

{"title":"Ultrasonic evaluation of early-stage hygrothermal aging damage for anisotropic composites based on PA-LCR technology","authors":"Zhongbing Luo ,&nbsp;Fengzhong Li ,&nbsp;Hong Wang,&nbsp;Xinyao Zhang,&nbsp;Yunpeng Li,&nbsp;Shijie Jin","doi":"10.1016/j.ndteint.2025.103470","DOIUrl":"10.1016/j.ndteint.2025.103470","url":null,"abstract":"<div><div>Fiber reinforced plastic (FRP) composites are prone to hygrothermal aging damage during service, which are generally evaluated in destructive ways. In this study, we propose a nondestructive evaluation method based on critically refracted longitudinal (L_CR) wave using phased array ultrasonic, referred to as PA-L_CR method. This method offers broad adaptability to a wide range of material ultrasonic velocities, eliminating the necessary need to design specific focusing laws for particular fiber angles. Hence, the method can address the challenges of ultrasonic characterization in anisotropy, specifically the significant discrepancy in velocity caused by the orientated fibers and aging conditions. Here, the L_CR wave is flexibly excited and received in 0° and 90° fibers orientations based on one wedge with a fixed inclination angle. The wave amplitude is correlated with the preset velocity and deflection angle, and that under the optimal condition for these two parameters shows good correspondence with the early-stage hygrothermal aging. Additionally, the ultrasonic response mechanism is analyzed based on microstructure evolution in aging progress. The PA-L_CR method is proven to be efficient for damage evaluation of anisotropic composites, and can also enable an in-situ testing for some on-line monitoring of large-scale closed structure.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103470"},"PeriodicalIF":4.1,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144312602","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}

{"title":"Accurate and rapid acoustic damage characterization in complex structures using sparse sensor networks and deep learning models","authors":"Rajendra P. Palanisamy,&nbsp;Do-Kyung Pyun,&nbsp;Sangmin Lee,&nbsp;Alp T. Findikoglu","doi":"10.1016/j.ndteint.2025.103465","DOIUrl":"10.1016/j.ndteint.2025.103465","url":null,"abstract":"<div><div>Damage diagnosis in critical components is essential for ensuring the safety and reliability of operations across industries, spanning manufacturing, aerospace, and energy. Traditional acoustic nondestructive testing methods primarily focus on detecting defects through the direct scattering of single-mode incident waves from the damage, which limit their applicability to simple structures and small inspection areas. Our earlier research demonstrated that machine learning algorithms combined with sparse sensor networks can identify critical defect signatures even from multiply scattered, multi-mode acoustic signals, indicating the potential for improved defect inspection in complex, real-world structures. In this work, we demonstrate the successful implementation of this approach in a fixed sensor configuration to rapidly and accurately detect simulated defects in a geometrically complex, real-world structure, a brake rotor hub. Three different types of defects were physically simulated on the surface of the hub, and the collected data were used to train an autoencoder-based deep learning model. Two models were tested, one using single measurements and the other using multiple measurements taking advantage of the spatial distribution of the sensor network. After training, the multi-measurement model achieved 100 % accuracy in identifying, classifying, and locating unseen, unique damages. This work illustrates the potential of the proposed method for a wide range of industrial applications.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103465"},"PeriodicalIF":4.1,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298722","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}

{"title":"Laser-EMAT ultrasonic resonance detection and high-resolution imaging of thinning damage in high-temperature thin-walled alloys","authors":"Shiwen Cheng ,&nbsp;Wenze Shi ,&nbsp;Chao Lu ,&nbsp;Weiwei Chen ,&nbsp;Jing Hu","doi":"10.1016/j.ndteint.2025.103469","DOIUrl":"10.1016/j.ndteint.2025.103469","url":null,"abstract":"<div><div>Aero-engine hot-section components are prone to damage forms such as corrosion thinning, creep, and fatigue under complex stress fields and high-speed airflow erosion environments. There is an urgent need to develop a monitoring method suitable for high temperatures and vibrations in extreme operating conditions to enable online inspection of damage in high-temperature alloy components. Therefore, this study proposes a Laser-EMAT ultrasonic shear wave resonance method with large lift-off and high-temperature detection capabilities. It achieves rapid online detection of thinning defects in 800 °C high-temperature thin-walled alloy materials at a lift-off of 5 mm, with a maximum detection error not exceeding 6.07 %. Furthermore, through ultrasonic amplitude-frequency domain multi-feature fusion rapid imaging, high-resolution detection of thin-walled alloys with spherical corrosion thinning defects featuring varying cross-sections and curvature was achieved. The proposed method overcomes key challenges of traditional electromagnetic acoustic resonance (EMAR) detection, such as small lift-off, low energy conversion efficiency, limited high-temperature capability, and the low signal-to-noise ratio of laser ultrasonic detection, particularly its sensitivity to environmental stability. It is expected to be applied in high-temperature online monitoring under complex service conditions.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103469"},"PeriodicalIF":4.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144281104","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}

{"title":"Free-form surface reconstruction for adaptive imaging with 2D ultrasound arrays","authors":"Guillermo Cosarinsky ,&nbsp;Jorge F. Cruza ,&nbsp;Mario Muñoz ,&nbsp;Adrián Rubio ,&nbsp;Jorge Camacho","doi":"10.1016/j.ndteint.2025.103447","DOIUrl":"10.1016/j.ndteint.2025.103447","url":null,"abstract":"<div><div>This paper introduces the Aperture Interpolation Method (AIM) for free-form surface reconstruction using 2D ultrasound arrays. Surface reconstruction plays an essential role in adaptive imaging methods, allowing for effective operation even with imprecise or unknown system geometries. The AIM method leverages the time of flight (TOF) of echos from surface reflections to estimate the surface geometry of a component under test, without requiring a pre-existing component model. In this paper we present the theoretical basis of AIM for three acquisition modes: pulse-echo, pitch-catch, and plane wave. Experimental validation is performed using a complex-shaped aluminum test piece scanned with an 11x11, 3MHz matrix array mounted on a robotic arm. The ultrasonically reconstructed surface is compared with laser scanning data for accuracy analysis. Furthermore, the ultrasonically measured surface data is used to generate Total Focusing Method (TFM) images of the component, which are then compared against micro-CT images for validation. The experimental results validate the AIM method’s capability to accurately reconstruct surfaces, facilitating reliable imaging of the components defects, thereby demonstrating its potential applicability in industrial settings.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103447"},"PeriodicalIF":4.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290593","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}

{"title":"Precise internal geometric characterization of multilayer structures using ultrasonic array imaging technology","authors":"Tiantian Zhu,&nbsp;Zhenggan Zhou,&nbsp;Wenbin Zhou,&nbsp;Hafiz Ejaz Ahmad","doi":"10.1016/j.ndteint.2025.103468","DOIUrl":"10.1016/j.ndteint.2025.103468","url":null,"abstract":"<div><div>The growing use of multilayer components in manufacturing demands precise inspection methods. Ultrasonic phased array imaging with full matrix capture (FMC) offers effective structural characterization. However, its application to multilayer media is fundamentally constrained by the accuracy of sound velocity measurements. This paper introduces an ultrasonic phased array full matrix imaging method based on frequency domain full waveform inversion, which achieves precise reconstruction of the internal geometries characterization of multilayer structures by only utilizing the sound velocity of the outermost medium. Through an iterative optimization process, the initial sound velocity is progressively refined to minimize the discrepancy between simulated and experimental FMC datasets, thereby ensuring the simulated sound velocity closely approximates the actual conditions. This innovative method achieves robust reconstruction of internal geometries by eliminating the traditional requirement for accurate sound velocity measurements. The influence of unknown wavelets on internal geometries reconstruction was suppressed effectively by applying Green's function in the objective function. Furthermore, a novel pseudo-Hessian matrix incorporating Green's function correction is derived to enhance illumination compensation in deeper regions of the component. The experiments and simulations of different designs of three-layer medium complex structures were conducted, in which the proposed method provided substantially improved visualization of internal features. The structural similarity (SSIM) was increased 1.6 times higher than the conventional techniques, and the root mean square error (RMSE) of geometric dimensional measurements was reduced by more than 30 %.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103468"},"PeriodicalIF":4.1,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330255","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}

{"title":"Numerical simulation study on ultrasonic testing for fatigue damage characteristics of CFRP laminates based on Micro-CT","authors":"Tianyu Zheng ,&nbsp;Zhiming Liu ,&nbsp;Yi Yin ,&nbsp;Qingxin Gao ,&nbsp;Tianhe Jin ,&nbsp;Yiliang Shu","doi":"10.1016/j.ndteint.2025.103466","DOIUrl":"10.1016/j.ndteint.2025.103466","url":null,"abstract":"<div><div>Ultrasonic testing is highly sensitive to defects such as porosity and delamination in carbon fiber reinforced composite (CFRP) laminates, making it the most suitable non-destructive evaluation method for monitoring CFRP fatigue damage in engineering. In this study, based on finite element analysis, the influence of the spatial distribution characteristics of fatigue damages within [90/0]_2S orthotropic CFRP laminates under different loading cycles on ultrasonic responses were investigated. Firstly, the damage information inside the fatigue specimens were obtained using Micro-CT and the fatigue damage evolution characteristics were analyzed: pores within the fatigue specimens were significantly concentrated in the inter-laminar regions, while the intra-laminar porosity level was low. Secondly, a Stochastic Void Concentration Model (SVCM) characterizing the concentrated distribution of damage within the specimen was developed, and the conventional Random Void Model (RVM) was used for comparison. Further, the influence of the fatigue-induced damage distribution characteristics on ultrasonic responses were obtained by FEA: Compared to the RVM, the cyclic-like distribution of the SVCM pores strongly perturbed the echoed ultrasonic backscattered signals, which led to a significant increase of energy in the frequency bands around 10 MHz, 16 MHz and 21 MHz; the apparent integral backscattering coefficient <em>AIB</em>_<em>LS</em> proposed in this paper is linearly and positively correlated with the porosity of SVCM at different fatigue stages, allowing it to be used for internal fatigue damage analysis of laminates.</div></div>","PeriodicalId":18868,"journal":{"name":"Ndt & E International","volume":"156 ","pages":"Article 103466"},"PeriodicalIF":4.1,"publicationDate":"2025-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144270280","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}