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Artykuły w czasopismach na temat "Stereoscopic digital image correlation"
MOLINA VIEDMA, ANGEL JESUS, LUIS FELIPE SESE, ELÍAS LOPEZ ALBA i FRANCISCO ALBERTO DIAZ GARRIDO. "INTEGRATION OF DIGITAL IMAGE CORRELATION AND THERMOELASTICITY FOR EXPERIMENTAL ANALYSYS OF OPERATIONAL MODAL SHAPES". DYNA 99, nr 4 (1.07.2024): 410–16. http://dx.doi.org/10.52152/d11078.
Pełny tekst źródłaCheng, Wei-Han, i Hsin-Haou Huang. "Image-Based Hidden Damage Detection Method: Combining Stereo Digital Image Correlation and Finite Element Model Updating". Sensors 24, nr 15 (25.07.2024): 4844. http://dx.doi.org/10.3390/s24154844.
Pełny tekst źródłaBarranco-Gutiérrez, Alejandro-Israel, José-Alfredo Padilla-Medina, Francisco J. Perez-Pinal, Juan Prado-Olivares, Saúl Martínez-Díaz i Oscar-Octavio Gutiérrez-Frías. "New Four Points Initialization for Digital Image Correlation in Metal-Sheet Strain Measurements". Applied Sciences 9, nr 8 (24.04.2019): 1691. http://dx.doi.org/10.3390/app9081691.
Pełny tekst źródłaKim, Dong Hak, Jeong Hyun Lee, Ho Dong Kim i Ki Ju Kang. "An Experimental Measurement of Toughness Locus for a Ductile Material". Key Engineering Materials 297-300 (listopad 2005): 2410–15. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.2410.
Pełny tekst źródłaPaolillo, Gerardo, i 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 (8.07.2024): 1–9. http://dx.doi.org/10.55037/lxlaser.21st.120.
Pełny tekst źródłaMolina-Viedma, Ángel J., Elías López-Alba, Luis Felipe-Sesé i Francisco A. Díaz. "Operational Deflection Shape Extraction from Broadband Events of an Aircraft Component Using 3D-DIC in Magnified Images". Shock and Vibration 2019 (9.04.2019): 1–9. http://dx.doi.org/10.1155/2019/4039862.
Pełny tekst źródłaFelipe-Sesé, Luis, Ángel Molina-Viedma, Elías López-Alba i 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, nr 9 (17.09.2018): 3130. http://dx.doi.org/10.3390/s18093130.
Pełny tekst źródłaVetter, Sebastian, i Gunnar Siedler. "Automated 3D-Objectdocumentation on the Base of an Image Set". Geoinformatics FCE CTU 6 (21.12.2011): 370–75. http://dx.doi.org/10.14311/gi.6.46.
Pełny tekst źródłaJayyosi, C., K. Bruyère-Garnier i 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 (październik 2017): 150–57. http://dx.doi.org/10.1016/j.medengphy.2017.06.020.
Pełny tekst źródłaAlizzio, Damiano, Marco Bonfanti, Guido Garozzo, Fabio Lo Savio, Roberto Montanini i Antonino Quattrocchi. "Comparison between 3D-reconstruction optical methods applied to bulge-tests through a feed-forward neural network". ACTA IMEKO 10, nr 4 (30.12.2021): 194. http://dx.doi.org/10.21014/acta_imeko.v10i4.1156.
Pełny tekst źródłaRozprawy doktorskie na temat "Stereoscopic digital image correlation"
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.
Pełny tekst źródłaUnderstanding 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
Lo, Haw-Jing. "Real-time stereoscopic vision system". Thesis, Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/14911.
Pełny tekst źródłaMosayebi, Mahshad. "Digital Laser Speckle Image Correlation". OpenSIUC, 2017. https://opensiuc.lib.siu.edu/theses/2131.
Pełny tekst źródłaHartley, 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.
Pełny tekst źródłaNewberry, Shawn. "Laser Speckle Patterns with Digital Image Correlation". OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2885.
Pełny tekst źródłaLiang, 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.
Pełny tekst źródłaEgenskaperna 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.
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.
Pełny tekst źródłaShrestha, Shashi Shekhar. "Evaluation of Composite Adhesive Bonds Using Digital Image Correlation". OpenSIUC, 2015. https://opensiuc.lib.siu.edu/theses/1648.
Pełny tekst źródłaKarimian, Seyed Fouad. "Evaluation of Adhesive Joints with Ultrasonic Digital Image Correlation". OpenSIUC, 2016. https://opensiuc.lib.siu.edu/theses/2054.
Pełny tekst źródłaGubbels, Wade. "3-D Digital Image Correlation using a single color-camera". Thesis, University of British Columbia, 2014. http://hdl.handle.net/2429/50491.
Pełny tekst źródłaApplied Science, Faculty of
Mechanical Engineering, Department of
Graduate
Książki na temat "Stereoscopic digital image correlation"
Merzkirch, Matthias. Mechanical Characterization Using Digital Image Correlation. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-84040-2.
Pełny tekst źródłaLin, Ming-Tzer, Cosme Furlong i Chi-Hung Hwang, red. 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.
Pełny tekst źródłaLin, Ming-Tzer, Cesar Sciammarella, Horacio D. Espinosa, Cosme Furlong, Luciano Lamberti, Phillip Reu, Michael Sutton i Chi-Hung Hwang, red. 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.
Pełny tekst źródłaLamberti, Luciano, Ming-Tzer Lin, Cosme Furlong, Cesar Sciammarella, Phillip L. Reu i Michael A. Sutton, red. 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.
Pełny tekst źródłaLin, Ming-Tzer, Cosme Furlong, Chi-Hung Hwang, Mohammad Naraghi i Frank DelRio, red. 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.
Pełny tekst źródłaCavadini, Marco. Concept and model of a multiprocessor system for high resolution image correlation. Konstanz: Hartung-Gorre, 1999.
Znajdź pełny tekst źródłaR, Matthys Donald, i United States. National Aeronautics and Space Administration., red. Characterization of fluid flow by digital correlation of scattered light. Huntsville, AL: Univ. of Alabama in Huntsville, 1989.
Znajdź pełny tekst źródłaCenter, Langley Research, red. Digital PIV (DPIV) software analysis system: Under contract NAS1-19505. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.
Znajdź pełny tekst źródłaUnited States. National Aeronautics and Space Administration., red. Fuzzy interference enhanced information recovery from digital PIV using cross-correlation combined with particle tracking. [Washington, D.C.]: National Aeronautics and Space Administration, 1995.
Znajdź pełny tekst źródłaAlmiron, Miguel, i Esther Jacopin. Stéréoscopie et illusion: Archéologie et pratiques contemporaines : photographie, cinéma, arts numériques. Villeneuve-d'Ascq: Presses universitaires du Septentrion, 2018.
Znajdź pełny tekst źródłaCzęści książek na temat "Stereoscopic digital image correlation"
Čech, Jan, i Radim Šára. "Complex Correlation Statistic for Dense Stereoscopic Matching". W Image Analysis, 598–608. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11499145_61.
Pełny tekst źródłaIskander, Magued. "Digital Image Correlation". W Modelling with Transparent Soils, 137–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02501-3_8.
Pełny tekst źródłaBornert, Michel, François Hild, Jean-José Orteu i Stéphane Roux. "Digital Image Correlation". W 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.
Pełny tekst źródłaSause, Markus G. R. "Digital Image Correlation". W 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.
Pełny tekst źródłaMichael A., Michael A., Jean-José Orteu i Hubert W. Schreier. "Digital Image Correlation (DIC)". W 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.
Pełny tekst źródłaGdoutos, Emmanuel E. "Digital Image Correlation (DIC)". W Solid Mechanics and Its Applications, 251–59. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89466-5_12.
Pełny tekst źródłaCristofolini, Luca. "Overview of Digital Image Correlation". W 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.
Pełny tekst źródłaMichael A., Michael A., Jean-José Orteu i Hubert W. Schreier. "Volumetric Digital Image Correlation (VDIC)". W 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.
Pełny tekst źródłaWitz, J. F., P. Lecomte-Grosbras, A. Morch, C. Martel, F. Lesaffre i M. Brieu. "Digital Image Correlation for Large Strain". W International Digital Imaging Correlation Society, 163–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51439-0_39.
Pełny tekst źródłaYang, Jin, i Kaushik Bhattacharya. "Fast Adaptive Global Digital Image Correlation". W 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.
Pełny tekst źródłaStreszczenia konferencji na temat "Stereoscopic digital image correlation"
Shan, Mingguang, Bei Hu, Zhi Zhong, Lei Liu, Yongqiang Xie i Zhongbo Li. "Global estimation of underwater polarization imaging using image correlation". W 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.
Pełny tekst źródłaXiao, Hong, Yingxin Qin, Mingchi Feng i Kaixu Zou. "Temporal sequence Digital Image Correlation based on RNN-Conv3D". W 2024 5th International Conference on Mechatronics Technology and Intelligent Manufacturing (ICMTIM), 761–65. IEEE, 2024. http://dx.doi.org/10.1109/icmtim62047.2024.10629597.
Pełny tekst źródłaFeng, Mingchi, Jinsong Liu i Xuehai Yuan. "An unsupervised digital image correlation method based on MaskFlownet". W 10th International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2024), redaktorzy Yunhui Liu i Zili Li, 182. SPIE, 2024. http://dx.doi.org/10.1117/12.3046983.
Pełny tekst źródłaEinecke, Nils, i Julian Eggert. "A Two-Stage Correlation Method for Stereoscopic Depth Estimation". W 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, 2010. http://dx.doi.org/10.1109/dicta.2010.49.
Pełny tekst źródłaIkeda, Christine. "Deflections on the Bottom of a Wedge-Shaped Hull due to Slamming Loads". W SNAME 5th World Maritime Technology Conference. SNAME, 2015. http://dx.doi.org/10.5957/wmtc-2015-147.
Pełny tekst źródłaIkeda, Christine, Parisa Ghandehari, Felipe S. Castro, Chance R. Aucoin i Bret H. Bye. "Slamming Load Effects on the Bottom of High-Speed Aluminum Planing Craft". W SNAME 13th International Conference on Fast Sea Transportation. SNAME, 2015. http://dx.doi.org/10.5957/fast-2015-030.
Pełny tekst źródłaHertelé, Stijn, Timothy Galle, Koen Van Minnebruggen, Wim De Waele i Otto Jan Huising. "Experimental-Numerical Assessment of Vintage Pipe and Girth Weld With a Geometrically Complex Corrosion Feature". W 2018 12th International Pipeline Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/ipc2018-78408.
Pełny tekst źródłaEastridge, Jonathan R., i Brandon M. Taravella. "An Experimental Study in the Hydroelastic Response of an Aluminum Wedge in Drop Tests". W SNAME 30th American Towing Tank Conference. SNAME, 2017. http://dx.doi.org/10.5957/attc-2017-0018.
Pełny tekst źródłaKim, Dong-Hak, Jeong-Hyun Lee i Ki-Ju Kang. "An Experimental Method to Measure Q-Parameter for Two Parameter Theory of Ductile Fracture". W ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-41867.
Pełny tekst źródłaBoisson, Guillaume, i Patrick Lopez. "Inter-view coding for stereoscopic Digital Cinema". W 2008 15th IEEE International Conference on Image Processing. IEEE, 2008. http://dx.doi.org/10.1109/icip.2008.4712282.
Pełny tekst źródłaRaporty organizacyjne na temat "Stereoscopic digital image correlation"
Palaviccini, Miguel, Daniel Z. Turner i Michael Herzberg. Digital Image Correlation for Performance Monitoring. Office of Scientific and Technical Information (OSTI), luty 2016. http://dx.doi.org/10.2172/1238316.
Pełny tekst źródłaTurner, Daniel Z., Richard B. Lehoucq i Carlos A. Garavito-Garzon. PDE Constrained Optimization for Digital Image Correlation. Office of Scientific and Technical Information (OSTI), październik 2015. http://dx.doi.org/10.2172/1494349.
Pełny tekst źródłaBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein i in. A Good Practices Guide for Digital Image Correlation. Redaktorzy Elizabeth Jones i Mark Iadicola. International Digital Image Correlation Society, październik 2018. http://dx.doi.org/10.32720/idics/gpg.ed1.
Pełny tekst źródłaBigger, Rory, Benoît Blaysat, Christofer Boo, Manuel Grewer, Jun Hu, Amanda Jones, Markus Klein i in. A Good Practices Guide for Digital Image Correlation. Redaktorzy Elizabeth Jones i Mark Iadicola. International Digital Image Correlation Society, październik 2018. http://dx.doi.org/10.32720/idics/gpg.ed1/print.format.
Pełny tekst źródłaHall, Leslie. Digital Image Correlation of Flapping Wings for Micro-Technologies. Fort Belvoir, VA: Defense Technical Information Center, sierpień 2011. http://dx.doi.org/10.21236/ada558423.
Pełny tekst źródłaCasias, Zachary. High Throughput Coefficient Thermal Expansion Testing Utilizing Digital Image Correlation. Office of Scientific and Technical Information (OSTI), listopad 2022. http://dx.doi.org/10.2172/1898723.
Pełny tekst źródłaMahadevan, Sankaran, Vivek Agarwal, Binh T. Pham i Neal Kyle. Digital Image Correlation of Concrete Slab at University of Tennessee, Knoxville. Office of Scientific and Technical Information (OSTI), wrzesień 2016. http://dx.doi.org/10.2172/1364495.
Pełny tekst źródłaKane, Kenneth, Samuel Bell, Ben Garrison, Brandon Johnston, Nathan Capps i Kory Linton. Report Summarizing Progress in Digital Image Correlation Analysis of Burst Phenomenon. Office of Scientific and Technical Information (OSTI), marzec 2022. http://dx.doi.org/10.2172/1865738.
Pełny tekst źródłaGranzow, Brian N., i Daniel Thomas Seidl. Adjoint-based Calibration of Plasticity Model Parameters from Digital Image Correlation Data. Office of Scientific and Technical Information (OSTI), wrzesień 2018. http://dx.doi.org/10.2172/1474264.
Pełny tekst źródłaBarker, Craig, Douglas Howle, Terry Holdren, Jeffrey Koch i Raquel Ciappi. Results and Analysis from Mine Impulse Experiments Using Stereo-Digital Image Correlation. Fort Belvoir, VA: Defense Technical Information Center, maj 2012. http://dx.doi.org/10.21236/ada561954.
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