Relevant bibliographies by topics / Stereoscopic digital image correlation

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Academic literature on the topic 'Stereoscopic digital image correlation'

Author: Grafiati
Published: 15 March 2025

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Journal articles on the topic "Stereoscopic digital image correlation"

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MOLINA VIEDMA, ANGEL JESUS, LUIS FELIPE SESE, ELÍAS LOPEZ ALBA, and FRANCISCO ALBERTO DIAZ GARRIDO. "INTEGRATION OF DIGITAL IMAGE CORRELATION AND THERMOELASTICITY FOR EXPERIMENTAL ANALYSYS OF OPERATIONAL MODAL SHAPES." DYNA 99, no. 4 (July 1, 2024): 410–16. http://dx.doi.org/10.52152/d11078.

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Full-field optical techniques provide valuable information for the analysis of mode shapes thanks to their high density of measurement points, providing very detailed maps, in a noninvasive way that avoids alterations of the dynamic behaviour of the specimen. Digital image correlation and thermoelastic stress analysis are two of the most interesting ones. The first provides displacement fields that can be three-dimensional if a calibrated stereoscopic system is used. The second uses a thermographic camera to determine the stress invariant. Given the complementary nature of these magnitudes, this study deals with the integration of the displacement and stress fields by means of a calibrated set of a stereoscopic system and a thermographic camera which, through spatial triangulation, allow the association of the measurements to the same spatial point on the specimen. For this purpose, typical laboratory setups have been carried out for the characterisation of operational modal shapes of resonances. The integration has allowed a more accurate interpretation of the behaviour of the specimen, identifying the regions with the highest mechanical stress. This shows the advantages of integration compared to the isolated analysis of displacement and/or stress measurements that are usually carried out and proves the potential for the development of optical techniques at a scientific and industrial level, opening up new avenues of study.
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Cheng, Wei-Han, and Hsin-Haou Huang. "Image-Based Hidden Damage Detection Method: Combining Stereo Digital Image Correlation and Finite Element Model Updating." Sensors 24, no. 15 (July 25, 2024): 4844. http://dx.doi.org/10.3390/s24154844.

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Maintenance and damage detection of structures are crucial for ensuring their safe usage and longevity. However, damage hidden beneath the surface can easily go unnoticed during inspection and assessment processes. This study proposes a detection method based on image techniques to detect and assess internal structural damage, breaking the limitation of traditional image methods that only analyze the structure’s surface. The proposed method combines full-field response on the structure’s surface with finite element model updating to reconstruct the structural model, using the reconstructed model to detect and assess hidden structural damage. Initially, numerical experiments are conducted to generate known damaged areas and parameter distributions. Data from these experiments are used to update the finite element model, establish and validate the proposed model updating method, and assess its accuracy in evaluating hidden damage, achieving an accuracy rate of 90%. Furthermore, discussions on more complex damage scenarios are carried out through numerical experiments to demonstrate the feasibility and applicability of the proposed method in reconstructing different forms of damage. Ultimately, this study utilizes stereoscopic digital imaging techniques to acquire full-field information on surfaces, and applies the proposed method to reconstruct the structure, enabling the detection and assessment of hidden damage with an accuracy rate of 86%.
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Barranco-Gutiérrez, Alejandro-Israel, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz, and Oscar-Octavio Gutiérrez-Frías. "New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements." Applied Sciences 9, no. 8 (April 24, 2019): 1691. http://dx.doi.org/10.3390/app9081691.

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Nowadays, the deformation measurement in metal sheets is important for industries such as the automotive and aerospace industries during its mechanical stamping processes. In this sense, Digital Image Correlation (DIC) has become the most relevant measurement technique in the field of experimental mechanics. This is mainly due to its versatility and low-cost compared with other techniques. However, traditionally, DIC global image registration implemented in software, such as MATLAB 2018, did not find the complete perspective transformation needed successfully and with high precision, because those algorithms use an image registration of the type “afine” or “similarity”, based on a 2D information. Therefore, in this paper, a DIC initialization method is presented to estimate the surface deformation of metal sheets used in the bodywork automotive industry. The method starts with the 3D points reconstruction from a stereoscopic digital camera system. Due to the problem complexity, it is first proposed that the user indicates four points, belonging to reference marks of a “Circle grid”. Following this, an automatic search is performed among the nearby marks, as far as one desires to reconstruct it. After this, the local DIC is used to verify that those are the correct marks. The results show reliability by reason of the high coincidence of marks in experimental cases. We also consider that the quality of mark stamping, lighting, and the initial conditions also contribute to trustworthy effects.
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Kim, Dong Hak, Jeong Hyun Lee, Ho Dong Kim, and Ki Ju Kang. "An Experimental Measurement of Toughness Locus for a Ductile Material." Key Engineering Materials 297-300 (November 2005): 2410–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2410.

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A toughness locus Jc-Q for a ductile steel, SA106 Grade C used in the main steam piping of nuclear power plants, has been experimentally evaluated. Along with the standard fracture test procedure for J-R curve, Q as the second parameter governing stress triaxiality nearby the crack tip is measured from the displacements nearby the side necking which occurs near the crack tip on the lateral surface of a fracture specimen. The displacements nearby the side necking are measured from the digital images taken during the fracture experiment based on Stereoscopic Digital Photography (SDP) and high resolution Digital Image Correlation (DIC) software. The crack length is monitored by Direct Current Potential Drop (DCPD) method and the J-R curve is determined according to ASTM standard E1737-96. The effects of crack length, specimen geometry and thickness of specimen are studied, which are included in the toughness locus Jc-Q.
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Paolillo, Gerardo, and Tommaso Astarita. "PaIRS-UniNa: A Robust And Accurate Free Tool For Digital Particle Image Velocimetry And Optical Camera Calibration." Proceedings of the International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics 21 (July 8, 2024): 1–9. http://dx.doi.org/10.55037/lxlaser.21st.120.

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This contribution presents PaIRS-UniNa (PArticle Image Reconstruction Software – University of Naples “Federico II”), a free software application designed to perform digital particle image velocimetry (PIV). PaIRS-UniNa relies on a powerful C library designed for speed, robustness and accuracy, and a user-friendly graphical interface (Figure 1) running in Python environment on all operating systems, including Windows, Linux and MacOS. At the current stage, it features modules to perform two-component (2C) PIV, stereoscopic PIV and optical camera calibration for multi-camera systems. The processing of PIV and stereoscopic PIV data is based on an iterative image deformation method, which can be customized by the user varying different parameters in such a way to find the best compromise between accuracy and computational speed. These parameters include the size, shape and number of interrogation windows, the number of process iterations and the type of interpolating functions for both image deformation and displacement interpolation (such as bilinear, bicubic, methods based on simplexes or the FFT shift theorem and B-splines of varying orders). Additionally, it is possible to select a range of weighting windows for cross-correlation estimation and velocity field filtering, including rectangular, Blackman, Gaussian, Harris, Hann windows, among others, and several vector validation strategies for outlier detection and replacement. Such a level of customization enables to effectively adjust the modulation transfer function of the PIV process to meet specific application requirements. For the stereoscopic PIV process two different approaches are possible: mapping, which involves applying PIV to de-warped images for 2D-2C displacement fields, and warping, which applies PIV to raw images and combine 3C reconstruction and image dewarping in a single subsequent step. In order to accurately estimate the laser sheet plane location and correct errors due to misalignment and inaccurate displacement vector positions, a disparity correction procedure is also available. The calibration module (CalVi) supports accurate calibration with the camera models mostly used in the PIV community: polynomials, rational functions and the pinhole camera model. Moreover, it supports the integration of the pinhole camera model with a refractive correction model for cylindrical geometries and camera calibration procedures working with unknown positions and orientations of the calibration target. In such a way, the target may be moved by hand without losing accuracy in comparison with a conventional calibration, in which the target is displaced with the aid of translational and rotational stages and knowledge of the target positions is strictly required. Already used in numerous experimental studies by the Experimental Thermo-Fluid Dynamics group of University of Naples “Federico II” and international collaborating groups, PaIRS-UniNa offers a rapid and effective free alternative to commercial PIV software for research and industrial use.
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Molina-Viedma, Ángel J., Elías López-Alba, Luis Felipe-Sesé, and Francisco A. Díaz. "Operational Deflection Shape Extraction from Broadband Events of an Aircraft Component Using 3D-DIC in Magnified Images." Shock and Vibration 2019 (April 9, 2019): 1–9. http://dx.doi.org/10.1155/2019/4039862.

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Recently, many works have shown the capabilities of noninterferometric optical techniques, such as digital image correlation, to characterise modal behaviour. They provide a global insight into the structure or component behaviour which implies massive spatial information, unaffordable by traditional sensor instrumentation. Moreover, phase-based motion magnification (PMM) is a methodology which, based on a sequence of images, magnifies a periodic motion encoded in phase time-domain signals of the complex steerable pyramid filters employed to decompose the images. It provides a powerful tool to interpret deformation. However, the interpretation is just qualitative and should be avoided if out-plane motion is recorded as only one camera is employed. To overcome this issue, 3D digital image correlation (3D-DIC) has been linked with PMM to provide measurements from stereoscopic sets of images, providing full-field displacement maps to magnified images. In this work, the combination of PMM and 3D-DIC has been employed to evaluate the modal behaviour of an aircraft cabin under random excitation. The study was focused on the passenger window area due to its significance to the structural integrity as a discontinuity of the peel. Operational deflection shapes at different resonances were characterised by magnifying a single resonance in the spectrum and then measuring with 3D-DIC. These measurements were validated with those obtained in forced normal mode tests. Motion and displacement videos improved the understanding of the identified resonance deformation. Actually, a relevant behaviour was noticed in the window’s frame, a quite narrow area where using traditional sensors would not provide such a detailed 3D information.
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Felipe-Sesé, Luis, Ángel Molina-Viedma, Elías López-Alba, and Francisco Díaz. "RGB Colour Encoding Improvement for Three-Dimensional Shapes and Displacement Measurement Using the Integration of Fringe Projection and Digital Image Correlation." Sensors 18, no. 9 (September 17, 2018): 3130. http://dx.doi.org/10.3390/s18093130.

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Three-dimensional digital image correlation (3D-DIC) has become the most popular full-field optical technique for measuring 3D shapes and displacements in experimental mechanics. The integration of fringe projection (FP) and two-dimensional digital image correlation (FP + DIC) has been recently established as an intelligent low-cost alternative to 3D-DIC, overcoming the drawbacks of a stereoscopic system. Its experimentation is based on the colour encoding of the characterized fringe and speckle patterns required for FP and DIC implementation, respectively. In the present work, innovations in experimentation using FP + DIC for more accurate results are presented. Specifically, they are based on the improvement of the colour pattern encoding. To achieve this, in this work, a multisensor camera and/or laser structural illumination were employed. Both alternatives are analysed and evaluated. Results show that improvements both in three-dimensional and in-plane displacement are obtained with the proposed alternatives. Nonetheless, multisensor high-speed cameras are uncommon, and laser structural illumination is established as an important improvement when low uncertainty is required for 2D-displacement measurement. Hence, the uncertainty has been demonstrated to be reduced by up to 50% compared with results obtained in previous experimental approaches of FP + DIC.
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Vetter, Sebastian, and Gunnar Siedler. "Automated 3D-Objectdocumentation on the Base of an Image Set." Geoinformatics FCE CTU 6 (December 21, 2011): 370–75. http://dx.doi.org/10.14311/gi.6.46.

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Digital stereo-photogrammetry allows users an automatic evaluation of the spatial dimension and the surface texture of objects. The integration of image analysis techniques simplifies the automation of evaluation of large image sets and offers a high accuracy [1]. Due to the substantial similarities of stereoscopic image pairs, correlation techniques provide measurements of subpixel precision for corresponding image points. With the help of an automated point search algorithm in image sets identical points are used to associate pairs of images to stereo models and group them. The found identical points in all images are basis for calculation of the relative orientation of each stereo model as well as defining the relation of neighboured stereo models. By using proper filter strategies incorrect points are removed and the relative orientation of the stereo model can be made automatically. With the help of 3D-reference points or distances at the object or a defined distance of camera basis the stereo model is orientated absolute. An adapted expansion- and matching algorithm offers the possibility to scan the object surface automatically. The result is a three dimensional point cloud; the scan resolution depends on image quality. With the integration of the iterative closest point- algorithm (ICP) these partial point clouds are fitted to a total point cloud. In this way, 3D-reference points are not necessary. With the help of the implemented triangulation algorithm a digital surface models (DSM) can be created. The texturing can be made automatically by the usage of the images that were used for scanning the object surface. It is possible to texture the surface model directly or to generate orthophotos automatically. By using of calibrated digital SLR cameras with full frame sensor a high accuracy can be reached. A big advantage is the possibility to control the accuracy and quality of the 3d-objectdocumentation with the resolution of the images. The procedure described here is implemented in software Metigo 3D.
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Jayyosi, C., K. Bruyère-Garnier, and M. Coret. "Geometry of an inflated membrane in elliptic bulge tests: Evaluation of an ellipsoidal shape approximation by stereoscopic digital image correlation measurements." Medical Engineering & Physics 48 (October 2017): 150–57. http://dx.doi.org/10.1016/j.medengphy.2017.06.020.

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Alizzio, Damiano, Marco Bonfanti, Guido Garozzo, Fabio Lo Savio, Roberto Montanini, and Antonino Quattrocchi. "Comparison between 3D-reconstruction optical methods applied to bulge-tests through a feed-forward neural network." ACTA IMEKO 10, no. 4 (December 30, 2021): 194. http://dx.doi.org/10.21014/acta_imeko.v10i4.1156.

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The mechanical behaviour of rubber-like materials can be investigated through numerous techniques that differ from each other in costs, execution times and parameters described. Bulge test method proved helpful for hyperelastic membranes under plane and equibiaxial stress state. In the present study, bulge tests in force control were carried out on SBR 20% CB-filled specimens. 3D reconstructions of the dome were achieved through two different stereoscopic techniques, the epipolar geometry and the Digital Image Correlation. Through a Feed-Forward Neural Network (FFNN), these reconstructions were compared with the measurements by a laser triangulation sensor taken as reference. 3D-DIC reconstruction was found to be more accurate. Indeed, bias errors of the 3D-DIC and epipolar techniques with respect to the relative reference values, under creep condition, were 0.53 mm and 0.87 mm, respectively.<br /><br />
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Dissertations / Theses on the topic "Stereoscopic digital image correlation"

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Caron, Eddy. "Mesures stéréoscopiques à l’échelle de la microstructure : application aux phénomènes hors plan dans un polycristal métallique." Electronic Thesis or Diss., Centrale Lille Institut, 2024. http://www.theses.fr/2024CLIL0029.

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La compréhension des mécanismes de plasticité et d’endommagement des matériaux re-présente une ressource précieuse pour le développement qualitatif de l’industrie. Cette connaissance permet de réduire les coûts, d’améliorer la sécurité et d’anticiper les comportements des matériaux à court et long terme. En s’appuyant sur des modèles comportementaux, il devient possible de réaliser des simulations numériques capables de prédire l’évolution des matériaux. Aujourd’hui, ces simulations sont indispensables pour le dimensionnement des systèmes mécaniques, quel que soit leur domaine d’application. Bien que le dialogue entre les résultats expérimentaux et les prédictions numérique permet d’affiner ces modèles, il persiste des comportements singuliers, notamment au niveau local, que ces modèles n’arrivent pas à prédire. Des outils de mesures de champs cinématiques ont été développé pour descendre à des échelles fines et comprendre les mécanismes au sein même de la microstructure,en particulier avec les développement de la Corrélation d’Images Numériques (CIN). Cette technologie permet de mesurer des champs à l’échelle du pixel mais ne prend pas en compte les déplacements« hors-plan » situés dans l’axe de la caméra. Pourtant, ces déplacements semblent jouer un rôle crucial sur la manifestation des mécanismes de plasticité. Le développement d’une technique de mesures téréoscopique incluant la CIN est donc nécessaire à toute exploration complémentaire. Cette étude porte sur la mise en place d’outils expérimentaux multi-instrumentés. En particulier, elle se concentre sur le développement d’un logiciel de mesure de champs de déformation stéréoscopique sans contact,permettant d’évaluer les mouvements "hors-plan". Le logiciel nommé PyCaSo a ainsi vu le jour et a été évalué dans une première partie. Dans une seconde partie, d’autres techniques de mesure, telles que la profilométrie, l’EBSD (diffraction des électrons rétrodiffusés) ou encore la microscopie, ont été utilisées pour réaliser des essais expérimentaux monotones et cycliques sur un acier de référence, l’acier austénitique inoxydable 316L
Understanding the mechanisms of plasticity and damage in materials represents a va-luable resource for the qualitative development of industry. This knowledge makes it possible to reducecosts, improve safety and anticipate short- and long-term material behavior. Based on behavioralmodels, it becomes possible to carry out numerical simulations capable of predicting the evolutionof materials. Today, these simulations are indispensable for the dimensioning of mechanical systems,whatever their field of application. Although the dialogue between experimental results and numericalpredictions makes it possible to refine these models, there are still singular behaviors, particularly atthe local level, which these models are unable to predict. Tools for measuring kinematic fields have beendeveloped to go down to fine scales and understand the mechanisms at the very heart of the micro-structure, in particular with the development of Digital Image Correlation (DIC). This technology canmeasure fields at pixel level, but does not take into account “out-of-plane” displacements in the cameraaxis. Yet these displacements appear to play a crucial role in the manifestation of plasticity mecha-nisms. The development of a stereoscopic measurement technique including DIC is therefore necessaryfor any further exploration. This study focuses on the development of multi-instrument experimentaltools. In particular, it focuses on the development of non-contact stereoscopic deformation field measu-rement software, enabling the assessment of “out-of-plane” movements. The software, named PyCaSo,was developed and evaluated in the first part of the project. In the second part, other measurementtechniques, such as profilometry, EBSD (electron backscatter diffraction) and microscopy, were used tocarry out monotonic and cyclic experimental tests on a reference steel, austenitic stainless steel 316L
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Lo, Haw-Jing. "Real-time stereoscopic vision system." Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14911.

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Mosayebi, Mahshad. "Digital Laser Speckle Image Correlation." OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2131.

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This thesis examines the feasibility of combining Digital Image Correlation (DIC) with laser speckle based methods to form a new hybrid deformation measurement method called Digital Laser Speckle Image Correlation (DilSIC). Consequently, this method does not require any sample preparation and allows for the measurement of displacement of micro structures in addition to large displacements. In this technique, a coherent 30mW-632nm laser beam is expanded with 40X lens and then illuminated on the target surface to produce a fine, homogenous laser speckle pattern. Images were captured before and after deformation due to external load and the whole field displacement and strain were determined by the DIC method. This technique could measure displacement less than 30-μm with high accuracy when a 120mm × 80mm area of the surface was inspected. Up to 10% strain was measured by this technique with high accuracy during the whole range. Eventually the sub-surface crack was located successfully, which is a revolutionary achievement in NDT optical methods. This method was tested in different material, with different roughness. Aluminum sheet and rubber material were used mostly. This method could broaden the capability of displacement measurement and subsurface crack detection in wide range of materials.
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Hartley, David Andrew. "Image correlation using digital signal processors." Thesis, Liverpool John Moores University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304465.

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Newberry, Shawn. "Laser Speckle Patterns with Digital Image Correlation." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2885.

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Digital Laser Speckle Image Correlation (DiLSIC) is a technique that utilizes a laser generated speckle pattern with Digital Image Correlation (DIC). This technology eliminates the need to apply an artifact speckle pattern to the surface of the material of interest, and produces a finer speckle pattern resulting in a more sensitive analysis. This investigation explores the parameters effecting laser speckle patterns for DIC and studies DiLSIC as a tool to measure surface strain and detect subsurface defects on pressure vessels. In this study a 632.8 nm 30 mW neon-helium laser generated the speckle pattern by passing through the objective end of an objective lens. All experiments took place in a lab setting on a high performance laminar flow stabilizer optical table.This investigation began with a deeper look at the camera settings that effect the effectiveness of using laser speckles with DIC. The first studies were concentrated on the aperture size (f-stop), shutter speed, and gain (ISO) of the camera. Through a series of zero-correlation studies, translation tests, and settings studies, it was discovered that, much like white light DIC, an increased gain allowed for more noise and less reliable measurements when using DiLSIC. It was shown that the aperture size and shutter speed will largely depend on the surface composition of the material, and that these factors should be investigated with each new sample of different surface finish.To determine the feasibility of using DiLSIC on pressure vessels two samples were acquired. The first was a standard ASTM filament wound composite pressure vessel (CPV) which had an upper load limit of 40 psi. The second was a plastic vessel that had internal subsurface defects added with the use of an air pencil grinder. Both vessels were put under a pressure load with the use of a modified air compressor that allowed for multiple loading cycles through the use of a pressure relief valve. The CPV was mapped out in 10-degree increments between the 90° and 180° markings that were on the pressure vessel, occurring in three areas, each one inch apart. The CPV had a pressure load applied to at 10, 20, 30,and 40 psi. DiLSIC was able to measure increasing displacement with increased loading on the surface of the CPV, however with a load limit of 40 psi no strains were detected. The plastic vessel had known subsurface defects, and these areas were the focus of the investigation. The plastic vessel was loaded with a pressure load at 5, 10, 12, 15, 17, and 20 psi. The 5 psi loaded image was used as a reference image for the correlation and decorrelation consistently occurred at 20 psi. This investigation proved that DiLSIC can detect and locate subsurface defects through strain measurement. The results were verified with traditional white light DIC, which also showed that the subsurface defects on pressure vessels were detectable. The DIC and DiLSIC results did not agree on maximum strain measurement, with the DiLSIC prediciting much larger strains than traditional DIC. This is due to the larger effect out-of-plane displacement has on DiLSIC. DiLSIC was able to detect subsurface defects on a pressure vessel. The median measured hoop strain was in agreement for DiLSIC, DIC and the predicted hoop strain for a wall thickness of 0.1 inches. However, DiLSIC also produced unreliable maximum strain measurements. This technique shows potential for future applications, but more investigations will be needed to implement it for industrial use. A full investigation into the parameters surrounding this technique, and the factors that contribute the most to added noise and unreliability should be conducted. This technology is being developed by multiple entities and shows promising results, and once further advanced could be a useful tool for rapid surface strain measurement and subsurface defect detection in nondestructive evaluation applications. Therefore, it is recommended to continue further investigations into this technology and its applications.
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Liang, Yiming. "Analysis of Paperboard Performance using Digital Image Correlation." Thesis, KTH, Hållfasthetslära, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277799.

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The performance of paperboard materials in packaging application has been investigated and evaluated for a long time. This is because it plays a decisive role for product protection and decoration in packaging applications. Potential damages during transportation sometimes affect the consistency of the performance. Therefore, the capability of the material to resist these external disturbances was of interest. A multiply paperboard was chosen as the experimental material. The analysis conducted in this thesis aimed to reveal the tensile behavior in the cross-machine direction (CD) of the material against various kinds of local or global changes. The changes included global and local climate variations, cutouts, and regional weakening and strengthening, which were applied during the intervals between preloading and reloading. The digital image correlation (DIC) analysis computed the time-varying strain fields from the gray level information contained in the recorded videos of loading processes.  The generated strain fields were imported to post analysis. Comparison between comparable stages (two stages with the same average strain value from different loading sections) was considered as the scheme of isolating the influences of the changes and investigating them individually. The cosine image similarity method and the eigenface algorithm were used to validate this scheme, while the directional average calculation and the strain field compensation method were introduced to realize the isolation. The differences between the front and back outer plies of the paperboard sheets were detected as individual. Moreover, both global and local climate changes were affecting the strain distributions of the specimens proportionally on account of the moisture ratio within the material. In addition, the invisible mechanical weakening and strengthening were captured evidently with the analysis, which caused strain concentrations due to the uneven distribution of expansion capability. The relaxation and bending in unloading processes were two of the primary disturbing factors within all the deformed specimens, which were related to time and bending direction, correspondingly.
Egenskaperna hos kartongmaterial för förpackningstillämpningar har varit ett ämne att undersökning under lång tid. Detta för att dessa egenskaper spelar en avgörande roll som produktskydd och dekorativ utformning i mängde av tillämpningar. Potentiella skador under transport påverkar bland annat materialets tillförlitlighet och prestandard. Därför är det aktuellt att undersöka samt förstå materialets förmåga att motstå yttre störningar. Experimentmaterialet som användes bestod av en typ av flerskiktskartong. Analyser som utfördes i denna avhandling har syfte att identifiera de mekaniska förändringarna i materialets dragegenskaper i tvärsmaskin-riktningen (CD) på grund av olika lokala eller globala förändringar. Förändringarna innefattar både globala och lokala klimatvariationer, utskärningar, och lokala försvagningar samt förstärkningar. Dessa förändringar infördes vid intervallet mellan på- och avlastning. Den digital bildkorrelations analys (DIC) användes för att beräknade de tidsvarierande töjningsfälten från den grånivåinformationen i som registrerades med hjälp av inspelade videor under belastningen  Den genererade töjningsfälten importerades för vidare analys. Två tillstånd med liknande medelvärde av töjningsnivån från olika delar av belastningen jämfördes, detta för att isolera påverkan av förändringarna och undersöka dem individuellt. Två olika metoder för jämförelse av bilderna (cosine image similarity och eigenface algorithm) användes för att validera analysschemat, där riktning-medelvärdesberäkningar och töjningsfälts kompensations-metoden användes för att realisera dessa isoleringar. Enstaka skillnader upptäcktes mellan de främre och bakre ytskikten på kartongarken. Dessutom påverkades töjningsfördelningarna för proverna både av den globala och lokala klimatförändringar på grund av fukttillståndet i materialet. Vidare kan de osynliga mekaniska försvagningar och förstärkningar tydligt fångas med de utförda analyserna, vilket ledde till töjningskoncentrationers uppkomst på grund av det inhomogena expansions-förmåga hos arket. Relaxationen och böjningen vid avlastning relaterade till tid och böjningsförmåga var två av de primära faktorerna som påverkade analysens kvalité.
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Nageswaran, Ashok R. "Deformation Analysis of Soft Tissues by Digital Image Correlation." University of Cincinnati / OhioLINK, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1233614556.

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Shrestha, Shashi Shekhar. "Evaluation of Composite Adhesive Bonds Using Digital Image Correlation." OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1648.

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Advanced composite materials are widely used for many structural applications in the aerospace/aircraft industries today. Joining of composite structures using adhesive bonding offers several advantages over traditional fastening methods. However, this technique is not yet employed for fastening the primary structures of aircrafts or space vehicles. There are several reasons for this: There are not any reliable non-destructive evaluation (NDE) methods that can quantify the strength of the bonds, and there are no certifications of quality assurance for inspecting the bond quality. Therefore, there is a significant need for an effective, reliable, easy to use NDE method for the analysis of composite adhesive joints. This research aimed to investigate an adhesively bonded composite-aluminum joints of variable bond strength using digital image correlation (DIC). There are many future possibilities in continuing this research work. As the application of composite materials and adhesive bond are increasing rapidly, the reliability of the composite structures using adhesive bond should quantified. Hence a lot of similar research using various adhesive bonds and materials can be conducted for characterizing the behavior of adhesive bond. The results obtained from this research will set the foundation for the development of ultrasonic DIC as a nondestructive approach for the evaluation of adhesive bond line.
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Karimian, Seyed Fouad. "Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation." OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.

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Increasing use of composite materials in industry brings the need for newer and more practical methods to evaluate them. Widespread use of composite materials heavily depends on the manufacturer’s ability to unquestionably ensure its safety, given how much the user trusts them. Non-Destructive Evaluation (NDE) can be used to evaluate adhesive bondline health. This thesis employs Digital Image Correlation (DIC) method, one of the known methods in NDE, and combines it with an embedded speckle pattern in order to obtain valuable information from within the adhesive bondline. By recording the movement of the speckles and analyzing their behavior according to DIC algorithms, a strain map of the adhesive is drawn. An adhesive strain map helps find defects that might be out of sight using conventional NDE methods. This thesis discusses different possible materials to be used as the speckle pattern and chooses the one shows better results based on different criteria. Then employing the material, it records the speckle pattern using optical and ultrasonic methods to draw a strain map. By analyzing the obtained strain maps, defects within the bondline are revealed.
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Gubbels, Wade. "3-D Digital Image Correlation using a single color-camera." Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50491.

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Digital Image Correlation (DIC) is an optical and numerical method capable of accurately providing full-field, two-dimensional (2-D) and three-dimensional (3-D) surface displacements and strains. 3-D DIC is typically done using two cameras that view the measured object from differing oblique directions. The measured images are independent and must be spatially connected using a detailed calibration procedure. This places a large demand on the practitioner, the optical equipment and the computational method. A novel approach is presented here where a single color-camera is used in place of multiple monochrome cameras. The color-camera measures three independent Red-Green-Blue (RGB) color-coded images. This feature greatly reduces the scale of the required system calibrations and spatial computations because the color images are physically aligned on the camera sensor. The in-plane surface displacements are obtained by performing traditional 2-D DIC in a single color. The out-of-plane information is obtained by a second 2-D DIC analysis and triangulation using oblique illumination from a differently colored light source. Further, the camera perspective errors associated with out-of-plane displacements can independently be measured during this second DIC analysis of the oblique illumination pattern. The 3-D Digital Image Correlation is completed by combining the 2-D correlations for each color. The design and creation of an example apparatus is described here. Experimental results show that the single-camera method can measure 3-D displacements with to within 1% error, with precision of the in-plane and out-of-plane measurements being consistently less than 0.04 and 0.12 pixels, respectively.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Books on the topic "Stereoscopic digital image correlation"

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Merzkirch, Matthias. Mechanical Characterization Using Digital Image Correlation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84040-2.

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Lin, Ming-Tzer, Cosme Furlong, and Chi-Hung Hwang, eds. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59773-3.

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Lin, Ming-Tzer, Cesar Sciammarella, Horacio D. Espinosa, Cosme Furlong, Luciano Lamberti, Phillip Reu, Michael Sutton, and Chi-Hung Hwang, eds. Advancements in Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-30009-8.

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Lamberti, Luciano, Ming-Tzer Lin, Cosme Furlong, Cesar Sciammarella, Phillip L. Reu, and Michael A. Sutton, eds. Advancement of Optical Methods & Digital Image Correlation in Experimental Mechanics, Volume 3. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-97481-1.

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Lin, Ming-Tzer, Cosme Furlong, Chi-Hung Hwang, Mohammad Naraghi, and Frank DelRio, eds. Advancements in Optical Methods, Digital Image Correlation & Micro-and Nanomechanics, Volume 4. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-17471-1.

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Cavadini, Marco. Concept and model of a multiprocessor system for high resolution image correlation. Konstanz: Hartung-Gorre, 1999.

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R, Matthys Donald, and United States. National Aeronautics and Space Administration., eds. Characterization of fluid flow by digital correlation of scattered light. Huntsville, AL: Univ. of Alabama in Huntsville, 1989.

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Center, Langley Research, ed. Digital PIV (DPIV) software analysis system: Under contract NAS1-19505. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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United States. National Aeronautics and Space Administration., ed. Fuzzy interference enhanced information recovery from digital PIV using cross-correlation combined with particle tracking. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.

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Almiron, Miguel, and Esther Jacopin. Stéréoscopie et illusion: Archéologie et pratiques contemporaines : photographie, cinéma, arts numériques. Villeneuve-d'Ascq: Presses universitaires du Septentrion, 2018.

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Book chapters on the topic "Stereoscopic digital image correlation"

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Čech, Jan, and Radim Šára. "Complex Correlation Statistic for Dense Stereoscopic Matching." In Image Analysis, 598–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_61.

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Iskander, Magued. "Digital Image Correlation." In Modelling with Transparent Soils, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02501-3_8.

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Bornert, Michel, François Hild, Jean-José Orteu, and Stéphane Roux. "Digital Image Correlation." In Full-Field Measurements and Identification in Solid Mechanics, 157–90. Hoboken, NJ USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118578469.ch6.

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Sause, Markus G. R. "Digital Image Correlation." In In Situ Monitoring of Fiber-Reinforced Composites, 57–129. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30954-5_3.

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Michael A., Michael A., Jean-José Orteu, and Hubert W. Schreier. "Digital Image Correlation (DIC)." In Image Correlation for Shape, Motion and Deformation Measurements, 1–37. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_5.

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Gdoutos, Emmanuel E. "Digital Image Correlation (DIC)." In Solid Mechanics and Its Applications, 251–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89466-5_12.

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Cristofolini, Luca. "Overview of Digital Image Correlation." In Springer Series in Solid and Structural Mechanics, 187–213. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-06086-6_5.

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Michael A., Michael A., Jean-José Orteu, and Hubert W. Schreier. "Volumetric Digital Image Correlation (VDIC)." In Image Correlation for Shape, Motion and Deformation Measurements, 1–16. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-78747-3_8.

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Witz, J. F., P. Lecomte-Grosbras, A. Morch, C. Martel, F. Lesaffre, and M. Brieu. "Digital Image Correlation for Large Strain." In International Digital Imaging Correlation Society, 163–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_39.

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Yang, Jin, and Kaushik Bhattacharya. "Fast Adaptive Global Digital Image Correlation." In Conference Proceedings of the Society for Experimental Mechanics Series, 69–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97481-1_7.

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Conference papers on the topic "Stereoscopic digital image correlation"

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Shan, Mingguang, Bei Hu, Zhi Zhong, Lei Liu, Yongqiang Xie, and Zhongbo Li. "Global estimation of underwater polarization imaging using image correlation." In Digital Holography and Three-Dimensional Imaging, W4A.32. Washington, D.C.: Optica Publishing Group, 2024. http://dx.doi.org/10.1364/dh.2024.w4a.32.

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A method for global estimation of underwater polarization imaging using image correlation is proposed and some experiments are carried out to verify the feasibility and effectiveness of this approach.
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Xiao, Hong, Yingxin Qin, Mingchi Feng, and Kaixu Zou. "Temporal sequence Digital Image Correlation based on RNN-Conv3D." In 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM), 761–65. IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629597.

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Feng, Mingchi, Jinsong Liu, and Xuehai Yuan. "An unsupervised digital image correlation method based on MaskFlownet." In 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), edited by Yunhui Liu and Zili Li, 182. SPIE, 2024. http://dx.doi.org/10.1117/12.3046983.

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Einecke, Nils, and Julian Eggert. "A Two-Stage Correlation Method for Stereoscopic Depth Estimation." In 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2010. http://dx.doi.org/10.1109/dicta.2010.49.

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Ikeda, Christine. "Deflections on the Bottom of a Wedge-Shaped Hull due to Slamming Loads." In SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-147.

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Slamming is an important design consideration for aluminum vehicles, which must endure repeated impact events when operating at high speed in waves. Preliminary results from an experimental study of a free-falling aluminum wedge hull is presented to measure the structural response of the bottom plate of a hull. A two-dimensional problem is considered, and pressures and strain are measured on the bottom plating near the centerline. Full-_eld strains will be measured using stereoscopic digital image correlation. The main focus of this paper is on the measurements of position, acceleration and pressure on the bottom plating of the wedge hull as well as calculations of velocity. This experiment is the start of a much larger research endeavor that will contribute to a deeper understanding of fluid-structure interaction of slamming.
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Ikeda, Christine, Parisa Ghandehari, Felipe S. Castro, Chance R. Aucoin, and Bret H. Bye. "Slamming Load Effects on the Bottom of High-Speed Aluminum Planing Craft." In SNAME 13th International Conference on Fast Sea Transportation. SNAME, 2015. http://dx.doi.org/10.5957/fast-2015-030.

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Slamming is an important design consideration for aluminum vehicles, which must endure repeated impact events when operating at high speed in waves. An experimental study of a free-falling aluminum wedge hull is presented to measure the loading conditions and structural response of the bottom plate of a high-speed planing hull. In this study, the mass of the hull was varied, and two drop heights were examined. Slamming pressures were measured using two types of sensors. Full-field strains were measured using stereoscopic digital image correlation. This paper presents preliminary results of the loading on and deformation of the bottom plating and discusses the challenges to experimentally understanding this fluid-structure interaction problem. It was found that the measurement of the hydrodynamic loading on the plate is sensitive to the type of sensor used.
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Hertelé, Stijn, Timothy Galle, Koen Van Minnebruggen, Wim De Waele, and Otto Jan Huising. "Experimental-Numerical Assessment of Vintage Pipe and Girth Weld With a Geometrically Complex Corrosion Feature." In 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78408.

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Standard pipe corrosion assessments are based on simplifying assumptions with respect to corrosion geometry and focus on pressure based loading. Moreover, when corrosion patches traverse girth welds, validity criteria to their assessment become impractically vague. The integrity of girth welds is additionally influenced by axial stresses, which may act in combination with hoop stress resulting from pressure. In an attempt to address these issues, the authors conducted a detailed assessment on a significant, highly irregular corrosion patch traversing a 12″ natural gas pipeline girth weld. The investigation comprises a full scale uniaxial tensile test and supporting detailed finite element (FE) analyses. Hereby, the model mesh adopts detailed geometrical characteristics resulting from a surface profile scan obtained from stereoscopic digital image correlation. The numerical model is validated based on the uniaxial tensile test, in the sense that plastic collapse and highly complex strain distributions are successfully reproduced. Finally, the FE model is used to explore axial tensile failure in presence of internal pressure.
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Eastridge, Jonathan R., and Brandon M. Taravella. "An Experimental Study in the Hydroelastic Response of an Aluminum Wedge in Drop Tests." In SNAME 30th American Towing Tank Conference. SNAME, 2017. http://dx.doi.org/10.5957/attc-2017-0018.

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Slamming of high speed marine planing craft is an important part of their operating conditions. High hydrodynamic forces are inevitably induced causing the shell plating to deflect, which in turn can influence the flow physics surrounding the hull. In order to study the hull’s hydroelastic behavior due to a slamming event, the researchers performed wedge drop experiments with an aluminum wedge of 57 inches in length, 47 inches in breadth, and 20∘ deadrise with 1/4 inch thick unstiffened bottom panels. The elastic response of the bottom plating was measured via two methods. The first method uses a series of evenly-space, colinear strain gages, and the second method is a stereoscopic digital image correlation (S-DIC) technique. In this investigation, an S-DIC code has been developed and utilized to study the deflections and to advance the capabilities of future research. Drops have been made for four impact velocities: 4.8 ft/s, 6.8 ft/s, 8.4 ft/s, and 9.7 ft/s. Comparisons are made between the two methods at an impact velocity of 9.7 ft/s – only strain gages were used for the lesser impact velocities. The overall deflections of the deadrise panel are approximately 1/10 inch at an impact velocity of 9.7 ft/s. The predictions made using S-DIC and strain gages differ by approximately 23%.
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Kim, Dong-Hak, Jeong-Hyun Lee, and Ki-Ju Kang. "An Experimental Method to Measure Q-Parameter for Two Parameter Theory of Ductile Fracture." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41867.

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In the two parameter approaches, one of the second parameters, T-stress, Q and A2 is used together with J-integral to describe the constraint loss near the crack tip under large scale yielding states. Among the second parameters, Q seems to be most promising from a practical point of view because it applies for three-dimensional geometries. In order to determine the Q for a given geometry and load, however, three-dimensional elastic-plastic finite element analysis, which is time consuming and costly, has had to be performed so far. In this work an experimental method to measure Q-parameter insitu is described. The basic idea comes from the fact that side necking near a crack tip indicates the loss of stress triaxiality, which can be scaled by Q. From the out-of-plane displacement and the in-plane strain measured on the surface of side necking near the crack tip, stress field averaged through thickness is calculated and then Q is determined from the difference between the stress filed and the HRR field corresponding to the identical J-integral. To prove the validity, three-dimensional finite element simulation has been performed for a CT configuration with side-grooves. Q-value which was calculated directly from the near-tip stress field is compared with that determined by simulating the experimental procedure according to the proposed method, that is, the Q-value determined from the lateral displacement and the in-plane strain. Also, the effect of location where the displacement and strain are measured is explored. Moreover, an easy way for measuring the displacement and strain simultaneously is described. That is based on Stereoscopic Digital Photography and high resolution Digital Image Correlation (DIC) software, and can be performed along with conventional fracture tests. A case study for a CT specimen of ferritic steel is presented.
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Boisson, Guillaume, and Patrick Lopez. "Inter-view coding for stereoscopic Digital Cinema." In 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712282.

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Reports on the topic "Stereoscopic digital image correlation"

1

Palaviccini, Miguel, Daniel Z. Turner, and Michael Herzberg. Digital Image Correlation for Performance Monitoring. Office of Scientific and Technical Information (OSTI), February 2016. http://dx.doi.org/10.2172/1238316.

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Turner, Daniel Z., Richard B. Lehoucq, and Carlos A. Garavito-Garzon. PDE Constrained Optimization for Digital Image Correlation. Office of Scientific and Technical Information (OSTI), October 2015. http://dx.doi.org/10.2172/1494349.

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Bigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, October 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.

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Bigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein, et al. A Good Practices Guide for Digital Image Correlation. Edited by Elizabeth Jones and Mark Iadicola. International Digital Image Correlation Society, October 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.

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Hall, Leslie. Digital Image Correlation of Flapping Wings for Micro-Technologies. Fort Belvoir, VA: Defense Technical Information Center, August 2011. http://dx.doi.org/10.21236/ada558423.

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Casias, Zachary. High Throughput Coefficient Thermal Expansion Testing Utilizing Digital Image Correlation. Office of Scientific and Technical Information (OSTI), November 2022. http://dx.doi.org/10.2172/1898723.

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Mahadevan, Sankaran, Vivek Agarwal, Binh T. Pham, and Neal Kyle. Digital Image Correlation of Concrete Slab at University of Tennessee, Knoxville. Office of Scientific and Technical Information (OSTI), September 2016. http://dx.doi.org/10.2172/1364495.

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Kane, Kenneth, Samuel Bell, Ben Garrison, Brandon Johnston, Nathan Capps, and Kory Linton. Report Summarizing Progress in Digital Image Correlation Analysis of Burst Phenomenon. Office of Scientific and Technical Information (OSTI), March 2022. http://dx.doi.org/10.2172/1865738.

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Granzow, Brian N., and Daniel Thomas Seidl. Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. Office of Scientific and Technical Information (OSTI), September 2018. http://dx.doi.org/10.2172/1474264.

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Barker, Craig, Douglas Howle, Terry Holdren, Jeffrey Koch, and Raquel Ciappi. Results and Analysis from Mine Impulse Experiments Using Stereo-Digital Image Correlation. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada561954.

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