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Vibration-Based Damage Identification in Steel Girder Bridges Using Artificial Neural Network Under Noisy Conditions J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-15 Hooman Nick, Armin Aziminejad
The vibration-based damage identification techniques use changes in modal properties of structures to detect damages. However, the results of these methods are not reliable under noise. Therefore, it is essential to clarify which method performs vigorous under noisy conditions. In this study, three damage detection methods, called modal strain energy-based damage index, modal flexibility, and modal
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Noise Reduction for Improvement of Ultrasonic Monitoring Using Coda Wave Interferometry on a Real Bridge J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-11 Xin Wang, Joyraj Chakraborty, Ernst Niederleithinger
Reinforced concrete bridges are iconic parts of modern infrastructure. They are designed for a minimum service life of 100 years. However, environmental factors and/or inappropriate use might cause overload and accelerate the deterioration of bridges. In extreme cases, bridges could collapse when necessary maintenance lacks. Thus, the permanent monitoring for structure health assessment has been proposed
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The Formation of Microcracks in Water-Saturated Porous Ceramics During Freeze–Thaw Cycles Followed by Acoustic Emission J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-07 Tomáš Húlan, Michal Knapek, Štefan Csáki, Jakub Kušnír, Jana Šmilauerová, Patrik Dobroň, František Chmelík, Tiit Kaljuvee, Mai Uibu
The acoustic emission (AE) technique was employed to monitor crack formation in the water-saturated ceramic material subjected to freeze–thaw cycles. The samples with water accessible porosity ranging from 6 to 50 vol% were prepared from the illite-rich clay by the sacrificing template method. The experimental samples were fired to 1100 °C in the static air atmosphere. Afterward, they were saturated
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Study of Sphericity and Compactness Parameters in Spheroidal Graphite Iron Using X-Ray Micro-computed Tomography and Image Processing J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-05 F. V. Díaz, M. E. Peralta, D. O. Fernandino
This work focuses on the relation between the sphericity and compactness parameters obtained from the exhaustive analysis on the graphite nodules of a spheroidal graphite cast iron sample, in order to propose a methodology with allow establishing different quality categories of nodules. The experimental methodology involves X-ray micro-computed tomography on an ad hoc test sample to generate high-resolution
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Highly Sensitive Low-Energy Laser Sensing Based on Sweep Pulse Excitation for Bolt Loosening Diagnosis J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-05 Katsuhiro Mikami, Yue Zhao, Masato Morita, Tetsuo Sakamoto, Hiroaki Nishikawa
The hammering method used by inspectors is generally applied to inspection of looseness of bolted parts. This method entails active sensing through the input of an excitation signal produced by the inspectors, and has the advantage of practical experience acquired over many years. The sound (vibration) and sensation produced upon excitation by a hammer can be used as indices, but also leads to the
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X-ray Computed Microtomography Characterization of Ti6Al4V/CoCrMo Biomedical Composite Fabricated by Semi-solid Sintering J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 E. Mihalcea, H. J. Vergara-Hernández, L. Olmos, O. Jimenez, D. Arteaga, J. M. Salgado-López
The semi-solid sintering of a novel Ti6Al4V/CoCrMo biomedical composite was investigated for the first time by semi-in situ X-ray computed microtomography. Composite was fabricated by dry mixing 15 vol% CoCrMo reinforcing particles with Ti6Al4V particles as matrix. The mixture was poured into a 1 mm diameter quartz capillary. 3D images of the same sample were acquired before and after sintering at
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NDE 4.0—A Design Thinking Perspective J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 Johannes Vrana, Ripudaman Singh
Cyber technologies are offering new horizons for quality control in manufacturing and safety assurance in-service of physical assets. The line between non-destructive evaluation (NDE) and Industry 4.0 is getting blurred since both are sensory data-driven domains. This multidisciplinary approach has led to the emergence of a new capability: NDE 4.0. The NDT community is coming together once again to
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Convolutional Neural Networks for Semantic Segmentation as a Tool for Multiclass Face Analysis in Thermal Infrared J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 David Müller, Andreas Ehlen, Bernd Valeske
Convolutional neural networks were used for multiclass segmentation in thermal infrared face analysis. The principle is based on existing image-to-image translation approaches, where each pixel in an image is assigned to a class label. We show that established networks architectures can be trained for the task of multiclass face analysis in thermal infrared. Created class annotations consisted of pixel-accurate
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Direct Iterative Basis Image Reconstruction Based on MAP-EM Algorithm for Spectral CT J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 Zhengdong Zhou, Xuling Zhang, Runchao Xin, Ling Mao, Junshan Jia, Shisong Wei, Tao Sheng, Jinhua Zheng
Spectral CT can separate basis materials, and thus it can provide information on material characterization and quantification. Such information can benefit various clinical applications. However, the presence of non-ideal effects in X-ray imaging systems limits the accuracy of basis images. To achieve high accuracy of material decomposition and high quality of basis images, a novel direct iterative
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Speckle Interferometric Investigation of Argon Pressure-Induced Surface Roughness Modifications in RF-Sputtered MoO 3 Film J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 S. Soumya, R. Arun Kumar, S. Sreejyothi, Vimal Raj, M. S. Swapna, S. Sankararaman
Film quality analysis is of more considerable significance due to its diversified applications in various fields of technology. The present work reports the speckle interferometric analysis of the argon pressure-induced surface roughness modifications of RF sputtered MoO3 films. The paper suggests a new method of surface quality analysis of thin films through a parameter δ, which is the difference
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X-ray CT-Based Defect Evaluation of Continuous CFRP Additive Manufacturing J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-03 Stefano Petrò, Cesare Reina, Giovanni Moroni
The spread of additive technologies from prototyping to manufacturing has made the development of new products possible, but still needs effective methods in order to allow their characterization. In particular, porosity is considered a crucial aspect of AM products. A prototype system for the deposition of continuous carbon fiber-reinforced polymers with a thermoplastic matrix has been recently developed
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Augmented Ultrasonic Data for Machine Learning J. Nondestruct. Eval. (IF 1.95) Pub Date : 2021-01-02 Iikka Virkkunen, Tuomas Koskinen, Oskari Jessen-Juhler, Jari Rinta-aho
Flaw detection in non-destructive testing, especially for complex signals like ultrasonic data, has thus far relied heavily on the expertise and judgement of trained human inspectors. While automated systems have been used for a long time, these have mostly been limited to using simple decision automation, such as signal amplitude threshold. The recent advances in various machine learning algorithms
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Nondestructive Evaluation of Drilled Shaft Construction Anomalies Using Full Waveform Tomography of Simulated Crosshole Measurements J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-12-21 Alireza Kordjazi, Joseph T. Coe, Michael Afanasiev
Construction of drilled shafts for transportation infrastructure presents quality assurance challenges related to structural anomalies, including voids and degraded concrete. Efforts to evaluate anomalies often use stress-wave non-destructive testing (NDT) techniques such as the crosshole sonic logging (CSL) method. CSL relies on the propagation of stress waves between access tubes inserted alongside
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Experimentation for Sag and Dimension Measurement of Thin-Walled Tubes and Pipes Using Multi-Channel Ultrasonic Imaging System J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-29 N. Pavan Kumar, Eaglekumar G. Tarpara, V. H. Patankar
Thin-walled tubes and pipes are employed in industries to work under the conditions of high temperature, high pressure, high flow rates and radiation. Due to such stresses and harsh working conditions, tubes lead to sag during operation because of its low Wall Thickness and smaller diameters. There is a requirement to accurately measure sag and dimensions and assess the health and remaining life of
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Exploring Flood Filling Networks for Instance Segmentation of XXL-Volumetric and Bulk Material CT Data J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-25 Roland Gruber, Stefan Gerth, Joelle Claußen, Norbert Wörlein, Norman Uhlmann, Thomas Wittenberg
XXL-Computed Tomography (XXL-CT) is able to produce large scale volume datasets of scanned objects such as crash tested cars, sea and aircraft containers or cultural heritage objects. The acquired image data consists of volumes of up to and above \(\hbox {10,000}^{3}\) voxels which can relate up to many terabytes in file size and can contain multiple 10,000 of different entities of depicted objects
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Development of Adhesion Durability Evaluation of Surface Coatings Using Repeated Laser Shock-wave Adhesion Test J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-18 Kohei Kanamori, Yusaku Saito, Takeshi Yamada, Akio Yonezu, Xi Chen
This study aims to evaluate coating adhesion durability using the laser shock-wave adhesion test (LaSAT). In particular, the interfacial strength with respect to the applied loading cycle is evaluated quantitatively. This method uses strong elastic waves induced by pulsed laser irradiation, as interfacial fracture of the coating occurs due to a strong wave. The coating delamination can be identified
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Assessing Porosity in Selective Electron Beam Melting Manufactured Ti–6Al–4V by Nonlinear Impact Modulation Spectroscopy J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-14 Jan Kober, Alexander Kirchner, Alena Kruisova, Milan Chlada, Sigrun Hirsekorn, Thomas Weißgärber, Zdenek Prevorovsky
Selective electron beam melting (SEBM) is an additive manufacturing process for the production of complex metallic parts. To optimize their mechanical properties, pores and fusion defects, since not completely avoidable, have to be detected and evaluated. The generated microstructure may contain not only voids, but also weak bonds, sharp interfaces and loose particles causing nonlinear elasticity.
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A Review of Wire Rope Detection Methods, Sensors and Signal Processing Techniques J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-10 Shiwei Liu, Yanhua Sun, Xiaoyuan Jiang, Yihua Kang
Wire rope inspection by nondestructive testing methods, sensors and signal processing techniques are mainly reviewed in this paper. Owing to the difference of physical mechanism and testing principles, magnetic flux leakage, eddy current, acoustic emission and ultrasonic guide wave testing as well as other inspection methods for steel wire rope are summarized. Then, the commonly and frequently used
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A Novel Magnetic Flux Leakage Testing Method Based on AC and DC Composite Magnetization J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-09 Rongbiao Wang, Yihua Kang, Jian Tang, Bo Feng, Yongle Deng
The flexible printed coil array (FPC) is employed extensively because of its flexibility in non-destructive testing (NDT). To make the inductive coil detect both external and internal defects under static conditions in magnetic flux leakage testing (MFL), this paper proposes a method based on the AC and DC composite magnetization. The AC magnetization changes the magnetic field strength in the vicinity
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Motion-Induced Magnetic Barkhausen Noise for Evaluating Applied Stress in Pipelines J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-06 Jianbo Wu, Chengyong Liu, Erlong Li, Junzhen Zhu, Song Ding, Yiqing Wang
Stresses have great influences on the mechanical performance and corrosion resistance of pipelines. Magnetic Barkhausen noise (MBN) as an effective non-destructive testing method for evaluating stress in ferromagnetic materials has been widely studied in recent decades. Different from traditional MBN methods based on a time-varying magnetic field, this paper proposed a novel MBN method to induce Barkhausen
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Transformation of Acoustic Pulses into Electromagnetic Signals in Defective Structures J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-11-02 Bespal’ko Anatoly Alekseevich, Isaev Yusup Niyazbekovich, Dann Denis Dmitrievich, Pomishin Evgeny Karlovich, Fedotov Pavel Ivanovich, Petrov Maxim, Utsyn Gregory Evgenievich
In this study, the physical foundations of the combined acoustic-electric method are examined for testing layered materials, as well as materials with defects in the form of solid inclusions. The numerical simulation results of the electromagnetic signals excited in a test material via pulsed acoustic impact are presented. The effect of sample layering on the electromagnetic response parameters under
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A GMDH Predictive Model to Predict Rock Material Strength Using Three Non-destructive Tests J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-10-28 Diyuan Li, Danial Jahed Armaghani, Jian Zhou, Sai Hin Lai, Mahdi Hasanipanah
The uniaxial compressive strength (UCS) is considered as a significant parameter related to rock material in design of geotechnical structures connected to the rock mass. Determining UCS values in laboratory is costly and time consuming, hence, its indirect determination through use of rock index tests is of a great interest and advantage. This study presents a prediction process of the UCS values
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Realistic Model to Predict the Macrostructure of GTAW Welds for the Simulation of Ultrasonic Non destructive Testing J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-10-22 Quentin Marsac, Cécile Gueudré, Marie-Aude Ploix, Laurent Forest, François Baqué, Gilles Corneloup
The knowledge of grain growth directions makes it possible to describe the material anisotropy, which helps to ensure the ultrasonic testing of welded assemblies and the assessment of their mechanical integrity. Here, we study multipass welds made of 316 L stainless steel manufactured by a Gas Tungsten Arc Welding (GTAW) process. We have developed a specific model to predict the grain growth directions
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Discretized Target Size Detection in Electrical Impedance Tomography Using Neural Network Classifier J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-10-19 Shu-Wei Huang, Gustavo K. Rohde, Hao-Min Cheng, Shien-Fong Lin
Electrical impedance tomography (EIT) uses non-invasive and non-radiative imaging to detect inhomogeneous electrical properties in tissues. The inverse problem of EIT is a highly nonlinear, ill-posed problem, which causes inaccuracy in target size calculation. We propose a novel approach to discretize the target size and use a neural network (NN) classifier to classify the unknown size in discrete
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Concrete Compressive Strength Prediction Using Neural Networks Based on Non-destructive Tests and a Self-calibrated Response Surface Methodology J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-10-07 Ali Poorarbabi, Mohammadreza Ghasemi, Mehdi Azhdary Moghaddam
An artificial neural network (ANN) model and response surface methodology (RSM) were established to estimate the compressive strength of concrete by using the combination of three non-destructive tests (NDT); rebound number, pulse velocity tests and resistance surface. These techniques are utilized in an attempt to increase the reliability of the non-destructive tests in detecting the strength of concrete
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Distributed Fiber Optics Sensing Applied to Laminated Composites: Embedding Process, Strain Field Monitoring with OBR and Fracture Mechanisms J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-10-06 G. Souza, J. R. Tarpani
Optical fibers (OFs) are among the most promising technologies for distributed sensing in structure health monitoring of composites. Optical backscatter reflectometer (OBR) based on Rayleigh scattering enable to use the entire length of telcom OF as sensor, giving detailed information about the stain fields in the host structure. Embedded sensors can provide many advantages over surface bonded ones
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Fast Tomographic Inspection of Cylindrical Objects J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-30 Wannes Goethals, Marjolein Heyndrickx, Matthieu Boone
This paper presents a method for improved analysis of objects with an axial symmetry using X-ray Computed Tomography (CT). A cylindrical coordinate system about an axis fixed to the object’s center of symmetry forms the most natural base to analyze characteristics of those objects that exhibit axial symmetry, as is often the case for industrial parts. As the sampling grid in the proposed methodology
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On the Use of X-ray Computed Tomography in Assessment of 3D-Printed Components J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-28 Mohammad Reza Khosravani, Tamara Reinicke
Technical advantages of additive manufacturing (AM) have drawn great attention over the past few years. This cost-effective manufacturing process proved its potential applications in a wide range of fields. Although AM techniques (known as 3D printing) are able to fabricate geometrically complex components, it is necessary to evaluate internal and external dimensions of the printed parts. In this context
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Photothermal Porosity Estimation in CFRP by the Time-of-Flight of Virtual Waves J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-24 Holger Plasser, Günther Mayr, Gregor Thummerer, Günther Hendorfer, Peter Burgholzer, Zoltán Major
Porosity is an unavoidable defect in carbon fiber reinforced polymers and has noticeable effects on mechanical properties since gas filled voids weaken the epoxy matrix. Pulsed thermography is advantageous because it is a non-contacting, non-destructive and fast photothermal testing method that allows the estimation of material parameters. Using the Virtual Wave Concept for thermography data, ultrasonic
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Mid Infrared Tomography of Polymer Pipes J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-14 D. A. Hutchins, P. Huthwaite, L. A. J. Davis, D. R. Billson, L. Senni, S. Laureti, M. Ricci
Mid-infrared signals in the 2–5 μm wavelength range have been transmitted through samples of polymer pipes, as commonly used in the water supply industry. It is shown that simple through-transmission images can be obtained using a broad spectrum source and a suitable camera. This leads to the possibility of tomography, where images are obtained as the measurement system is rotated with respect to the
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A Robotized Non-destructive Quality Device for the Inspection of Glue Joints by Active Thermography J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-11 M. Hill, B. Faupel
Due to its flexibility for use in various applications active thermography is of interest for non-destructive evaluation of defects in various materials. In particular, active thermography allows for identification of imperfections inside glue joints like delaminations, air pockets or inclusions of foreign particles. The contribution of this work is the development and validation of a small and portable
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Internal Pressure Monitoring in a Post-tensioned Containment Building Using Operational Vibration J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-10 Agustin Spalvier, Jesus Eiras, Gonzalo Cetrangolo, Vincent Garnier, Cédric Payan
Nuclear material containment buildings are required to be periodically inspected to assure good quality conditions. To this end, there is increasing interest in developing efficient and economical testing techniques to monitor and inspect these structures. In this paper we study the dynamic behavior of a 1/3 mock-up containment structure and its internal pressure-dependence using testing techniques
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Scale–Space Data Augmentation for Deep Transfer Learning of Crack Damage from Small Sized Datasets J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-07 Shimin Tang, ZhiQiang Chen
Crack damage is commonly observed for civil structures and infrastructure in service. The recent years have witnessed an excessive utilization of deep learning models for realizing autonomous and machine-vision based crack detection. Given this trend, this paper recognizes two entwined challenges: the preparation of large-scale training data and the detection of simple crack damage amid complex scenes
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Using Deep Learning for Defect Classification on a Small Weld X-ray Image Dataset J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-04 Chiraz Ajmi; Juan Zapata; José Javier Martínez-Álvarez; Ginés Doménech; Ramón Ruiz
This document provides a comparative evaluation of the performance of a deep learning network for different combinations of parameters and hyper-parameters. Although there are numerous studies that report on performance in deep learning networks for ordinary data sets, their performance on small data sets is much less evaluated. The objective of this work is to demonstrate that such a challenging small
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Detecting Delaminations in Semitransparent Glass Fiber Composite by Using Pulsed Infrared Thermography J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-04 A. I. Moskovchenko; V. P. Vavilov; R. Bernegger; C. Maierhofer; A. O. Chulkov
Thanks to its good strength/mass ratio, a glass fibre reinforced plastic (GFRP) composite is a common material widely used in aviation, power production, automotive and other industries. In its turn, active infrared (IR) nondestructive testing (NDT) is a common inspection technique for detecting and characterizing structural defects in GFRP. Materials to be tested are typically subjected to optical
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Structural Evolution of Martensitic Steel During Dry Sliding Friction Studied with Synchrotron Radiation J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-09-03 Kemal I. Emurlaev; Ivan A. Bataev; Vladimir G. Burov; Daria V. Lazurenko; Martin Rosenthal; Manfred Burghammer; Ivan V. Ivanov; Alexey A. Ruktuev; Dimitri A. Ivanov; Anatoly A. Bataev
Sliding friction causes significant structural transformations in the subsurface layers of interacting materials. These changes are associated with complicated mechanochemical processes which include but not limited to plastic flow, refinement of structure, increase of dislocation density, oxidation, delamination and formation of wear debris. In this study we attempted to observe some of these processes
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Operational Damage Identification Scheme Utilizing De-Noised Frequency Response Functions and Artificial Neural Network J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-25 Shilei Chen; Zhi Chao Ong; Wei Haur Lam; Kok-Sing Lim; Khin Wee Lai
A damage identification scheme combining impact-synchronous modal analysis (ISMA) and artificial neural network is developed in this study. The ISMA de-noising method makes it feasible to detect and classify the damage states with high accuracy when the machine is under operation. The feed-forward backprop network was utilized in this study. The input feature vector of the network consisted of the
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A Nonlinear Hanning-Windowed Chirplet Model for Ultrasonic Guided Waves Signal Parameter Representation J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-24 Honglei Chen; Zenghua Liu; Bin Wu; Cunfu He
Parametric signal representation techniques with Chirplet models have attracted much attention in ultrasonic guided waves-based research of material property identification and structural integrity evaluation. The known Chirplet models are established using either the Gaussian windows or the linear chirp function. This is inconsistent with practical situations where the excitation is a Hanning-windowed
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Electrical Impedance-Based Technique for Estimation of Moisture Saturation Conditions of Hardened Cement Paste at Low Radio Frequencies J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-18 Gopinandan Dey
The degree of saturation (DoS) of moisture is the main parameter related to the durability of cement-based materials. In this paper, the electrical response of hardened cement paste is investigated at low radio frequency (RF) excitation. Cement paste samples with water to cement ratio (w/c) of 0.40 and 0.45 are used and the samples are conditioned to different DoS. A pulse-based electrical input is
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Correlation of Acoustic Emission with Fractography in Bending of Glass–Epoxy Composites J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-16 Maciej Panek; Stanislaw Blazewicz; Krzysztof J. Konsztowicz
Damage processes in glass fiber reinforced plastic composites have been examined extensively by many analytical and experimental methods, including acoustic emission. While damage phenomena in mezo- and macro-scale are well described, the subtle mechanisms in micro-scale are still under discussion. The goal of this work was to apply the acoustic emission to examine damage initiation in fiber reinforced
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Dual Element Transducer Approach for Second Harmonic Generation and Material Nonlinearity Measurement of Solids in the Pulse-Echo Method J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-12 Sungjong Cho; Hyunjo Jeong; Shuzeng Zhang; Xiongbing Li
A planar stress-free boundary is known to destructively alter the nonlinear wave generation process including the second harmonic component. This is the reason why the harmonic generation measurements in the study of nonlinear fluids and solids have been limited to the through-transmission setup. Recently, we have found through acoustic modeling and simulation that a dual element transducer composed
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Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-08-04 Khemraj Shukla; Patricio Clark Di Leoni; James Blackshire; Daniel Sparkman; George Em Karniadakis
We introduce an optimized physics-informed neural network (PINN) trained to solve the problem of identifying and characterizing a surface breaking crack in a metal plate. PINNs are neural networks that can combine data and physics in the learning process by adding the residuals of a system of partial differential equations to the loss function. Our PINNs is supervised with realistic ultrasonic surface
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Using Interpolation with Nonlocal Autoregressive Modeling for Defect Detection in Welded Objects J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-30 Amir Movafeghi; Mahdi Mirzapour; Effat Yahaghi
X-rays and gamma rays are used in industrial radiography to detect internal defects and different structures of the test object. The radiography interpreters must be able to evaluate and interpret the radiography images as accurately as possible. To improve the operator’s image perception and interpretation, the quality of radiographs can be enhanced by different image processing methods. In this study
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A Comparative Study on Structural Damage Detection Using Derivatives of Laser-Measured Flexural and Longitudinal Vibration Shapes J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-25 Wei Xu; Weidong Zhu; Yongfeng Xu; Maosen Cao
Structural damage detection methods relying on laser-measured vibration shapes have become a research focus in the past decade. For damage in a beam/bar with reduced cross-sectional dimensions, such as a notch, it causes changes in both its bending stiffness and axial stiffness in the damage region. Such stiffness changes can induce discontinuities in derivatives of flexural and longitudinal vibration
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High-Speed Acoustic Impact-Echo Sounding of Concrete Bridge Decks J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-13 Lorin J. Hendricks; Jared S. Baxter; Yao Chou; Mavrik Thomas; Enoch Boekweg; W. Spencer Guthrie; Brian A. Mazzeo
Evaluation of deteriorating highway bridges requires new, rapid inspection methods to effectively guide repair in an era of limited fiscal resources. Of all the components of a bridge, the bridge deck typically deteriorates most quickly and must therefore be regularly inspected for non-visible internal cracking, called delamination, for which early detection and repair can enhance safety and performance
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Three-Dimensional Fractal Characterization of Concrete Surface Subjected to Sulfuric Acid Attacks J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-12 Jie Xiao; Wenjun Qu; Haibo Jiang; Wenkui Dong
Sulfuric acid corrosion on concrete structures is more prevalent and its damage evaluation becomes gradually imperative. This study attempts to characterize the sulfuric acid corroded surfaces of concrete in terms of three-dimensional fractal dimension. Accelerated sulfuric acid corrosion tests were conducted using concrete cylinders with six different corrosion durations, and the 3D coordinates of
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Non-destructive Consolidation Assessment of Historical Camorcanna Ceilings by Scanning Laser Doppler Vibrometry J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-10 A. Annessi; P. Castellini; E. O. Radaelli; L. Jurina; M. Martarelli
This paper presents a procedure for the evaluation of the conservation state and restoration efficiency of nineteenth century camorcanna vaults based on the analysis of objective features extrapolated from non-destructive vibration testing data. The camorcanna vault in “Salone Grande” of the ninteenth century Villa Greppi in Monticello Brianza, near Milan, Italy, was chosen as an application example
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Application of Laser-Ultrasonic Technique of Acoustic Impedance Measurement with Signals Detection by Backward-Mode Scheme for Porosity Content Evaluation in CFRP Laminates J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-02 Yu. G. Sokolovskaya; N. B. Podymova; A. A. Karabutov
The aim of this work is the development and experimental implementation of the laser-ultrasonic method for CFRPs porosity assessment with one-side access to an investigated object. The scheme with the laser thermooptical generation and backward-mode piezoelectric detection of longitudinal acoustic waves is used. The proposed method is based on the measurement of the acoustic impedance of a composite
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An Improved Ultrasonic Imaging Method for Austenitic Welds Based on Grain Orientation Distribution Inversion Algorithm J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-07-02 Haipeng Zhou; Zandong Han; Dong Du
Traditional ultrasonic imaging inspection does not perform well for austenitic welds, in which the defect locating accuracy is insufficient due to the distortion of propagation paths caused by the weld’s anisotropy and inhomogeneity. The distribution of grain orientation (DGO) contributes to the velocity distribution in austenitic welds and influences the ultrasonic propagation paths. An improved ultrasonic
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Graphic Augmented Defect Recognition for Phased Array Ultrasonic Testing on Tubular TKY Joints J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-30 H. Luo; Q. H. Chen; W. Lin
A graphic augmented defect recognition algorithm was developed for phased array ultrasonic testing (PAUT) on tubular TKY joints. Based on PAUT sector scan (S-scan), 2D maps of the scans are obtained in terms of signal intensity and locations using spatial clustering and segmentation. The transformed S-scan data was further mapped with weld geometrical model to discriminate defect indications from the
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Pulsed Eddy Current: Feature Extraction Enabling In-Situ Calibration and Improved Estimation for Ferromagnetic Application J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-30 Faris Nafiah; Mohammad O. Tokhi; Shiva Majidnia; John Rudlin; Zhanfang Zhao; Fang Duan
Steel pipes in process plant applications are often covered with insulation or weather protection that make inspection difficult because the additional layers need to be penetrated to inspect the pipes’ structure. The pulsed eddy current (PEC) method was devised as a means of inspection through the surface layers. However, the performance of a PEC system is dependent on the electrical and magnetic
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Simulation-Based Analysis of Complex Radiographic Images J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-27 Nick Brierley
The paper describes an algorithm developed to enhance the analysis (manual or automatic) of radiographic images acquired for samples of complex geometry (such as those enabled by additive manufacturing techniques), where the imprint of the sample’s geometric complexity in the radiograph is likely to undermine the ability to identify defect indications. The underlying premise is that, assuming the sample
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Non-destructive Testing of Metal-Polymer Laminates with a Digital Holographic Vibrometer J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-24 Jagoda Nowak-Grzebyta; Frans Meijer; Karol Bula; Ewa Stachowska
This paper presents the use of a digital holographic vibrometer to investigate metal-polymer laminates by non-destructive testing. A polymer strip was glued to a metal one of the same size. Connection defects could be detected by a local change of the vibration amplitude, even when hidden from view for the observer. The amplitudes of the oscillations excited in the samples were up to 40 nm. This method
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A New Ultrasonic Amplitude Tomography Approach, with Validation on Masonry Tuff Blocks J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-22 Domenico Camassa; Anna Castellano; Aguinaldo Fraddosio; Mario Daniele Piccioni
Despite sonic and ultrasonic tomography are major NDT techniques, the resolution and the capability of these tests could be substantially improved; this, especially for masonry structures. Moreover, although waves amplitude attenuation is strictly related to the internal features and to the defects, some experimental and theoretical issues obstruct practical applications of amplitude tomography for
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A Method for Reconstructing Internal Temperature Distribution in Solid Structure J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-20 You-An Shi; Dong Wei; Bin Hu; Lei Zeng; Yan-Xia Du; Ye-Wei Gui
In this paper, a method combining ultrasonic travel time measurement with inversion is proposed to reconstruct the solid temperature field. Based on the measured transient ultrasonic propagation time, the inverse problem of acoustic thermal coupling is solved directly, and the unknown equivalent heat flow is estimated. Then, the time and space distribution of the internal temperature field can be reconstructed
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Damage Detection of L-Shaped Beam Structure with a Crack by Electromechanical Impedance Response: Analytical Approach and Experimental Validation J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-14 Seyed Reza Hamzeloo; Mohsen Barzegar; Mohsen Mohsenzadeh
Damage detection and structural health monitoring using the electromechanical impedance method has been accepted as an effective technique between various approaches of nondestructive evaluation. Many efforts have been made on experimental methods for obtaining the impedance of structures. However, expensive experimental methods encourage researchers to develop theoretical models. In this paper, a
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Detection of Hydrogen Embrittlement in Plated High-Strength Steels with Eddy Currents: Is the Sensitivity Sufficient? J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-10 J. Bellemare; D. Ménard; F. Sirois
Hydrogen embrittlement (HE) of high-strength steels has been a long-standing issue in the aerospace industry. Detecting the presence of hydrogen in steel with a low-cost and fast non-destructive method would be useful to avoid wasting parts. In this paper, we evaluate the feasibility of using eddy currents to achieve this goal. At first, we evaluate HE and hydrogen content in a series of chromium-plated
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A Mode-Switchable Guided Elastic Wave Transducer J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-10 Bernd Köhler; Yongtak Kim; Konrad Chwelatiuk; Kilian Tschöke; Frank Schubert; Lars Schubert
Increasing the safety demands of various progressively complex structures (e.g., in aerospace, automotive engineering, and wind power technology) and the parallel goal of reducing inspection costs set new objectives in the field of ultrasonics and guided elastic wave measurements. The focus is to deliver applicable sensors attached permanently to a particular structure for on-demand inspections. Piezoelectric
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A Real-Time NDT Method Based on FBG Sensor Spectrums to Detect the Transverse Matrix Cracks in Composite Materials J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-06-04 Liangliang Sun; Jihui Wang; Haixiao Hu; Chenyang Fu; Changzeng Wang; Aiqing Ni
Transverse matrix cracking is probably the first and most dominant mode of damage in composite materials. In this paper, a real-time Non-Destructive Testing (NDT) method was proposed to detect the transverse cracks by Fiber Bragg Grating (FBG) sensors. The experiment of observing the crack growth and recording FBG’s reflection spectrums as well as Finite Element Method (FEM) methods were conducted
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Overview of Researches on the Nondestructive Testing Method of Metal Magnetic Memory: Status and Challenges J. Nondestruct. Eval. (IF 1.95) Pub Date : 2020-05-31 Pengpeng Shi; Sanqing Su; Zhenmao Chen
More than 20 years of research progress regarding the nondestructive testing method of metal magnetic memory is reviewed and summarized in detail. Consequently, this overview is selective, covering what we feel are the most important trends of experimental phenomena, mechanism explanations, quantitative theories, simulations, testing, evaluation and application. From analyzing the current state of
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