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Operational monitoring of gravitational movements with image time series / Mathilde Desrues (2021)  

Public Titre : Operational monitoring of gravitational movements with image time series Titre original : Surveillance opérationnelle de mouvements gravitaires par séries temporelles d’images Type de document : Thèse/HDR Auteurs : Mathilde Desrues, Auteur ; Jean-Philippe Malet, Directeur de thèse Editeur : Strasbourg : Université de Strasbourg Année de publication : 2021 Importance : 231 p. Format : 21 x 30 cm Note générale : Bibliographie Thèse présentée en vue de l’obtention du grade en Géosciences - Géophysique de Docteur de l’Université de Strasbourg Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] analyse diachronique [Termes IGN] données géologiques [Termes IGN] effondrement de terrain [Termes IGN] état de l'art [Termes IGN] Hautes-Alpes (05) [Termes IGN] image RVB [Termes IGN] image terrestre [Termes IGN] Isère (38) [Termes IGN] modèle stéréoscopique [Termes IGN] prise de vues en accéléré [Termes IGN] risque naturel [Termes IGN] Savoie (73) [Termes IGN] série temporelle [Termes IGN] structure géologique [Termes IGN] surveillance géologique Index. décimale : THESE Thèses et HDR Résumé : (Auteur) Understanding the dynamics and the behavior of gravitational slope movements is essential to anticipate catastrophic failures and thus to protect lives and infrastructures. Several geodetic techniques already bring some information on the displacement / deformation fields of the unstable slopes. These techniques allow the analysis of the geometrical properties of the moving masses and of the mechanical behavior of the slopes. By combining time series of passive terrestrial imagery and these classical techniques, the amount of collected information is densified and spatially distributed. Digital passive sensors are increasingly used for the detection and the monitoring of gravitational motion. They provide both qualitative information, such as the detection of surface changes, and a quantitative characterization, such as the quantification of the soil displacement by correlation techniques. Our approach consists in analyzing time series of terrestrial images from either a single fixed camera or pair-wise cameras, the latter to obtain redundant and additional information. The time series are processed to detect the areas in which the Kinematic behavior is homogeneous. The slope properties, such as the sliding volume and the thickness of the moving mass, are part of the analysis results to obtain an overview which is as complete as possible. This work is presented around the analysis of four landslides located in the French Alps. It is part of a CIFRE/ANRT agreement between the SAGE Society - Société Alpine de Géotechnique (Gières, France) and the IPGS - Institut de Physique du Globe de Strasbourg / CNRS UMR 7516 (Strasbourg, France). Note de contenu : 1. Remote sensing methods for the monitoring of gravitational movements 1.1 Gravitational movements: risk and challenges 1.2 Landslide monitoring: in-situ measurements and remote sensing 1.3 Time-lapse photography 1.4 Presentation of the use cases: technologies and data Conclusions 2. Image time series analysis for a monoscopic model 2.1 Introduction 2.2 Methodology 2.3 Combination strategies for processing large image datasets 2.4 Application to use cases: the Chambon and the Pas de l’Ours landslides 2.5 Sensitivity analysis 2.6 Results and Discussion 2.7 Advantages and Limitations of TSM Pipeline Conclusions 3. A stereoscopic model for landslide analysis: Application to the Montgombert landslide (Savoie, French Alps) 3.1 Foreword 3.2 Stereoscopic model 3.3 Landslide displacement estimation 3.4 Landslide deformation estimation Conclusions 4. Pre- and post-event monitoring analysis: application to the Cliets rockslide (Savoie, French Alps) 4.1 Case study in the context of monitoring and early-warning 4.2 Time-lapse image analysis Conclusions 5. Conclusions and perspectives 5.1 General conclusions 5.2 Perspectives A Caractéristiques des caméras II B Analyse de sensibilité des paramétres externes sur les résultats de TSM VII C Série temporelle des déplacements détéctés post événement - glissement des Cliets Numéro de notice : 26767 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse française Note de thèse : Thèse de Doctorat : Géosciences - Géophysique : Strasbourg : 2021 Organisme de stage : Institut de physique du globe de Strasbourg IPGS nature-HAL : Thèse DOI : sans Date de publication en ligne : 13/10/2021 En ligne : https://hal.science/tel-03376927/ Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99864

Advances in digital image correlation (DIC) / Jean-Noël Perie (2020)  

Public Titre : Advances in digital image correlation (DIC) Type de document : Monographie Auteurs : Jean-Noël Perie, Éditeur scientifique ; Jean-Charles Passieux, Éditeur scientifique Editeur : Londres : Applied Science Publishers Année de publication : 2020 Importance : 252 p. Format : 17 x 25 cm ISBN/ISSN/EAN : 978-3-03928-514-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique [Termes IGN] appariement d'images [Termes IGN] corrélation croisée normalisée [Termes IGN] Déformation [Termes IGN] données de terrain [Termes IGN] étalonnage [Termes IGN] modélisation 3D [Termes IGN] pouvoir de résolution géométrique [Termes IGN] prise de vues en accéléré [Termes IGN] tomographie Résumé : (auteur) Digital image correlation (DIC) has become the most popular full field measurement technique in experimental mechanics. It is a versatile and inexpensive measurement method that provides a large amount of experimental data. Because DIC takes advantage of a huge variety of image modalities, the technique allows covering a wide range of space and time scales. Stereo extends the scope of DIC to non-planar cases, which are more representative of industrial use cases. With the development of tomography, digital volume correlation now provides access to volumetric data, enabling the study of the inner behavior of materials and structures.However, the use of DIC data to quantitatively validate models or accurately identify a set of constitutive parameters remains challenging. One of the reasons lies in the compromises between measurement resolution and spatial resolution. Second, the question of the boundary conditions is still open. Another reason is that the measured displacements are not directly comparable with usual simulations. Finally, the use of full field data leads to new computational challenges. Note de contenu : 1- Special issue on advances in digital image correlation (DIC) 2- Measurement of super-pressure balloon deformation with simplified digital image correlation 3- A cross-dichroic-prism-based multi-perspective digital image correlation system 4- Laboratory observations of repeated interactions between ruptures and the fault bend prior to the overall stick-slip instability based on a digital image correlation method 5- Application of 3D digital image correlation for development and validation of FEM model of self-supporting arch structures 6- Experimental study on the fracture process zone characteristics in concrete utilizing DIC and AE methods 7- 3D strain and elasticity measurement of layered biomaterials by optical coherence elastography based on digital volume correlation and virtual fields method 8- 3D strain mapping of opaque materials using an improved digital volumetric speckle photography technique with X-Ray microtomography 9- Enhanced digital image correlation analysis of ruptures with enforced traction continuity conditions across interfaces 10- Application of the non-contact video gauge on the mechanical properties test for steel cable at elevated temperature 11- New four points initialization for digital image correlation in metal-sheet strain measurements 12- Dynamic response of copper plates subjected to underwater impulsive loading 13- Gradient correlation functions in digital image correlation 14- Image classification for automated image cross-correlation applications in the geosciences 15- Measurement of interlaminar tensile strength and elastic properties of composites using open-hole compression testing and digital image correlation 16- Digital image correlation applications in composite automated manufacturing, inspection, and testing 17- A method for calibrating a digital image correlation system for full-field strain measurements during large deformations Numéro de notice : 25933 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Monographie En ligne : https://doi.org/10.3390/books978-3-03928-515-0 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96241