[{"command":"insert","method":null,"selector":".course-modal-ajax-placeholder-958002","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 (Part I)\n\u003C\/h2\u003E\n \u003Cdiv class=\u0022field-spacing\u0022\u003E\n \u003Cdiv class=\u0022field__label h3 dash\u0022\u003EECTS :\n 1.5\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\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\u003EMechanics of Materials, finite-element method, statistics, probability theory\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\u003E\u003Cem\u003E\u003Cstrong\u003ELectures on Digital Image Correlation (DIC)\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EImaging devices (photons, electrons, and all the rest, Atomic Force Microscopy, resolution in space and time, 2D\/3D, scanning\/full field ...)\u003C\/li\u003E\n\u003Cli\u003EImages (grey-level histograms, and encoding depth, color coding, distortions ...)\u003C\/li\u003E\n\u003Cli\u003ESubpixel interpolation (pixel meaning from square box to cardinal splines, all are splines), correlation length, noise\u003C\/li\u003E\n\u003Cli\u003EOptical flow (description of what is conserved in images and what is not). Brightness \/ Contrast \/ Temperature \/ Elevation (Atomic Force Microscopy)\u003C\/li\u003E\n\u003Cli\u003EKinematic basis (starting from translation and intercorrelation to finite-element)\u003C\/li\u003E\n\u003Cli\u003ELeast squares formulation, and numerical solution; 1) gradient descent; 2) multiscale. Discussion on the Hessian matrix (eigenvalue spectrum, eigenmodes)\u003C\/li\u003E\n\u003Cli\u003EUncertainty quantification, relation with Hessian matrix (motivation for regularization)\u003C\/li\u003E\n\u003C\/ul\u003E\n\u003Cp\u003E\u003Cem\u003E\u003Cstrong\u003ESpecific challenges and applications of Digital Image Correlation for Civil Engineering structures, mini-structures and specimens\u003C\/strong\u003E\u003C\/em\u003E\u003C\/p\u003E\n\u003Cul\u003E\n\u003Cli\u003EExamples will illustrate applications of DIC in civil engineering, in particular for the detection and quantification of damage.\u003C\/li\u003E\n\u003C\/ul\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 is devoted to the introduction of the general principles of Digital Image Correlation (DIC) as an inverse problem. It also deals with the quantification of measurement uncertainties.\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\u003EComp\u00e9tences\u003C\/div\u003E\n \u003Cdiv class=\u0022mt-5 text-justify\u0022\u003E\n \u003Cspan\u003E\u003Cul\u003E\n\u003Cli\u003EThe students will master the theoretical and implementation aspects of DIC. They will be able to measure displacement fields via DIC, evaluate the measurement uncertainties, criticize the results, and choose advanced strategies for performing DIC measurements.\u003C\/li\u003E\n\u003C\/ul\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\u003Cul\u003E\n\u003Cli\u003E\u003Cem\u003EMesures de champs et identification en m\u00e9canique des solides, M. Gr\u00e9diac, F Hild, Hermes science, 2011.\u003C\/em\u003E\u003C\/li\u003E\n\u003Cli\u003E\u003Cem\u003EFull-field measurements and identification in solid mechanics, M. Gr\u00e9diac, F. Hild, John Wiley \u0026amp; Sons, 2012\u003C\/em\u003E\u003C\/li\u003E\n\u003Cli\u003E\u003Cem\u003EComprehensive full-field measurements via Digital Image Correlation, S. Roux, F. Hild, in V. Silberschmidt (Edt.). Comprehensive Mechanics of Materials, 2, Elsevier, pp. 3-56, 2024.\u003C\/em\u003E\u003C\/li\u003E\n\u003C\/ul\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}]