[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-950808","data":"\u003Cdiv class=\u0022container content-rte\u0022\u003E\n  \u003Cdiv class=\u0022row\u0022\u003E\n    \u003Cdiv class=\u0022box col-md-6 bg-primary text-white\u0022\u003E\n      \u003Ch2 class=\u0022h1 text-left\u0022\u003E  Digital Image Correlation and Identification in Experimental Mechanics\n\u003C\/h2\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n          3\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n                  \u003Cdiv class=\u0022field-spacing\u0022\u003E\n        \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ESemestre calendaire :\n          Semester 1\n        \u003C\/div\u003E\n      \u003C\/div\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ED\u00e9tail du volume horaire\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ECours magistraux :\u003C\/span\u003E\n                                      \u003Cspan\u003E12\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                          \u003Cspan class=\u0022field__label h4 mt-5 \u0022\u003ETravaux pratiques :\u003C\/span\u003E\n                                      \u003Cspan\u003E12\u003C\/span\u003E\n                      \u003C\/div\u003E\n                                                                          \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ELangue d\u0026#039;enseignement\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EAnglais\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EEnseignement \u00e0 distance\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003Enon\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n    \u003Cdiv class=\u0022box col-md-6\u0022\u003E\n            \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EPr\u00e9requis\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E- Mechanics of materials and structures\u003Cbr\u003E\n- Knowledge on statistics and probabilities, optimization techniques\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EProgramme \/ plan \/ contenus\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EPart I (12h)\u003C\/p\u003E\n\u003Cp\u003E* Course (6h)\u0026nbsp;\u003Cbr\u003E\n- Imaging devices (photons, electrons and all the rest, AFM, resolution in space and time, 2D\/3D, scanning\/full field)\u003Cbr\u003E\n- Images (GL histograms, and encoding depth, color coding, distortions)\u003Cbr\u003E\n- Subpixel interpolation (pixel meaning from square box to cardinal splines), correlation length, noise\u003Cbr\u003E\n- Optical flow (description of what is conserved in images and what not). Corrections to account for brightness \/ contrast changes, temperature, elevation (AFM)\u003Cbr\u003E\n- Kinematic bases (starting from translation and cross-correlation to FE)\u003Cbr\u003E\n- Least squares formulation, and numerical solution; 1) gradient descent; 2) multiscale. Discussion on the Hessian matrix (eigenvalue spectrum, eigenmodes)\u003Cbr\u003E\n- Uncertainty quantification, relation with Hessian matrix (motivation for regularization)\u003Cbr\u003E\n- Introduction\/Motivation for FEMU\/IDIC\u003C\/p\u003E\n\u003Cp\u003E* Practical sessions (6h)\u0026nbsp;\u003Cbr\u003E\n- PS1 (numerical). Implement histogram, autocorrelation, cross-correlation, noise analysis\u003Cbr\u003E\n- PS2 (numerical): Write small DIC codes to measure rigid body translations, uniform strains\u0026nbsp;\u003C\/p\u003E\n\u003Cp\u003EPart II (12h)\u003C\/p\u003E\n\u003Cp\u003E* Course (6h)\u0026nbsp;\u003Cbr\u003E\n- Optimal spacetime DIC, Poisson noise\u003Cbr\u003E\n- Integrated DIC. Measurement of stress intensity factors\u003Cbr\u003E\n- FEMU\u003Cbr\u003E\n- Mechanical regularization\u003Cbr\u003E\n- Multiview Correlation\u003C\/p\u003E\n\u003Cp\u003E* Practical sessions (6h)\u0026nbsp;\u003Cbr\u003E\n- PS3 (numerical). Implement optimal extractors for 1D case\u003Cbr\u003E\n- PS4 (numerical). Implement and apply FEMU (Comsol and\/or CASTEM, use of precomputed set of solutions)\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EObjectifs d\u0026#039;apprentissage\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003EThis course focuses on digital image correlation (DIC) methods for measuring kinematic fields from various imaging devices. It covers the fundamentals of image formation, digital image processing, noise management and subpixel interpretation, as well as kinematic principles and associated variational formulations. Classical and advanced DIC methods are introduced, including multiscale optimization, uncertainty quantification, and regularization. The second part deals with integrated and spatiotemporal approaches, coupling with finite element models (FEMU\/IDIC), and multiview correlation. Practical sessions allow students to develop and apply numerical DIC codes and mechanical parameter identification.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n                                \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EBibliographie\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003E\u003Cp\u003E- M. Gr\u00e9diac, F. Hild. \u0022Mesures de champs et identification en m\u00e9canique des solides\u0022, Herm\u00e9s science, 2011.\u003Cbr\u003E\n- M. Gr\u00e9diac, F. Hild. \u0022Full-field measurements and identification in solid mechanics\u0022, John Wiley \u0026amp; Sons, 2012\u003Cbr\u003E\n- S. Roux, F. Hild. \u0022Comprehensive full-field measurements via Digital Image Correlation\u0022, in V. Silberschmidt (Edt.). \u0022Comprehensive Mechanics of Materials\u0022, 2, Elsevier, pp. 3-56, 2024.\u003C\/p\u003E\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n        \u003Cdiv class=\u0022field-spacing\u0022\u003E\n      \u003Cdiv class=\u0022field__label h3 dash\u0022\u003ENature de l\u0026#039;\u00e9valuation\u003C\/div\u003E\n                        \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n                                      \u003Cspan\u003EEvaluation Continue non Int\u00e9grale\u003C\/span\u003E\n                      \u003C\/div\u003E\n                  \u003C\/div\u003E\n      \u003C\/div\u003E\n  \u003C\/div\u003E\n\u003C\/div\u003E\n","settings":null}]