La tomographie en contraste de diffraction est une nouvelle technique non destructive d'imagerie synchrotron qui caractérise la microstructure et l'orientation des grains dans les matériaux polycristallins en trois dimensions (3D). En la combinant avec la tomographe par contraste de phase. Il est pour la première fois possible d'observer in situ la propagation 3D des fissures de fatigue courtes au sein d'un ensemble de grains entièrement caractérisé (orientation et forme). L'approche combinée, appelée « tomographie tri-dimensionnelle par rayons X des fissures courtes et de la microstructure »(T3DXFM), a été développée sur l’alliage de titane métastable "Beta21S". Une grande partie de ce travail porte sur le développement de la méthodologie T3DXFM. Dans le jeu de données combinées, chaque point de la surface de rupture 3D peut être associé à une structure de données multidimensionnelle contenant des variables décrivant l'orientation des grains, l'orientation locale de la surface de rupture ainsi que l'histoire de la propagation. La méthode utilise un maillage de surface composé de triangles qui décrit la fissure (en d'autres termes: la surface de rupture) dans l'état de propagation mesuré au dernier cycle de fatigue réalisé. Les orientations des grains, les différents fronts de la fissure, les vitesses de croissance locales ainsi que les joints de grains peuvent être visualisés en attribuant des couleurs à ce maillage. Des outils d'extraction des figures de pôle ont été créés et mis en œuvre. Un algorithme a été développé qui est capable de mesurer la vitesse de propagation locale 30 d'une fissure contenant des branchements. / X-Ray Diffraction Contrast Tomography (DCT) is a recently developed, non-destructive synchrotron imaging technique which characterizes microstructure and grain orientation in polycrystalline materials in three dimensions (3D). By combining it with propagation based phase contrast tomography (PCT) it is for the first lime possible to observe in situ the 3D propagation behavior of short fatigue cracks (SFCs) within a set of fully characterized grains (orientation and shape). The combined approach, termed 3D X-ray Tomography of short cracks and Microstructure (3DXTSM), has been developed on the metastable beta titanium alloy "Beta21S". A large part of this work deals with the development of the 3DXTSM methodology. In the combined dataset, each point on the 3D fracture surface can be associated with a multidimensional data structure containing variables describing the grain orientation, the local fracture surface normal and the propagation history. The method uses a surface mesh composed of triangles that describes the crack (in other words: the fracture surface) in the last propagation state measured. Grain orientations, crack fronts, local growth rates and grain boundaries can be visualized by assigning colors to this mesh. The data structure can be interrogated in a number of different ways. Tools for extracting pole figures and pole density distribution functions have been implemented. An algorithm was developed that is capable of measuring the 3D local growth rate of a crack containing branches. The accuracy of the grain boundaries as reconstructed with OCT was evaluated and the elastic constants of Beta21S were determined.

Fretting fatigue is a damage process that may arise in engineering applications where small cyclic relative displacements develop inside contacts leading to detrimental effects on the material fatigue properties. Fretting is located in regions not easily accessible, which makes it a dangerous phenomenon. It is therefore important to be able to make reliable predictions of the fretting fatigue lives. The work presented in this thesis has its focus on different aspects related to fretting fatigue in the titanium alloy Ti-17. A fretting experiment was developed which allowed for separate control of the three main fretting loads. Initially, the evolution of the coefficient of friction inside the slip region was investigated experimentally and analytically. Subsequently, 28 fretting tests were performed in which large fatigue cracks developed. The fretting tests were firstly evaluated with respect to fatigue crack initiation through five multiaxial fatigue criteria. The criteria predicted a too high fretting fatigue limit. A possible clue to the discrepancy was found in the fretting induced surface roughness with the asperity-pit interactions. The fatigue growth of the large fretting cracks was numerically modelled through a parametric crack growth procedure. The predicted lives were compared to the experimental outcome. The numerical simulations showed that linear elastic fracture mechanics was an appropriate tool for the prediction of fretting fatigue propagation lives in the long crack regime. Fatigue cracks spend most of their propagation life in the small crack regime. The possibility of modelling the small crack behaviour is therefore very important from the engineering point of view. The fatigue growth of through thickness short cracks was studied experimentally and numerically in the four-point bend configuration. It was found that linear elastic fracture mechanics and closure-free material growth data furnished conservative estimates for cracks longer than 50 μm. One method to improve fretting fatigue life is to shot peen the contact surfaces. Experimental results on fretting life with or without shot peening were simulated. The fatigue life enhancement in shot peened specimens could be explained by slower crack growth in the surface material layer with residual compressive stresses. / QC 20100827

Nondestructive testing is used extensively throughout the industry for quality assessment and detection of defects in engineering materials. The range and variety of anomalies is enormous and critical assessment of their location and size is often complicated. Depending upon final operational considerations, some of these anomalies may be critical and their detection and classification is therefore of importance. Despite the several advantages of using Nondestructive testing for flaw detection, the conventional NDT techniques based on the heuristic experience-based pattern identification methods have many drawbacks in terms of cost, length and result in erratic analysis and thus lead to discrepancies in results. The use of several statistical and soft computing techniques in the evaluation and classification operations result in the development of an automatic decision support system for defect characterization that offers the possibility of an impartial standardized performance. The present work evaluates the application of both supervised and unsupervised classification techniques for flaw detection and classification in a semi-infinite half space. Finite element models to simulate the MASW test in the presence and absence of voids were developed using the commercial package LS-DYNA. To simulate anomalies, voids of different sizes were inserted on elastic medium. Features for the discrimination of received responses were extracted in time and frequency domains by applying suitable transformations. The compact feature vector is then classified by different techniques: supervised classification (backpropagation neural network, adaptive neuro-fuzzy inference system, k-nearest neighbor classifier, linear discriminate classifier) and unsupervised classification (fuzzy c-means clustering). The classification results show that the performance of k-nearest Neighbor Classifier proved superior when compared with the other techniques with an overall accuracy of 94% in detection of presence of voids and an accuracy of 81% in determining the size of the void in the medium. The assessment of the various classifiers’ performance proved to be valuable in comparing the different techniques and establishing the applicability of simplified classification methods such as k-NN in defect characterization. The obtained classification accuracies for the detection and classification of voids are very encouraging, showing the suitability of the proposed approach to the development of a decision support system for non-destructive testing of materials for defect characterization.

Nondestructive testing is used extensively throughout the industry for quality assessment and detection of defects in engineering materials. The range and variety of anomalies is enormous and critical assessment of their location and size is often complicated. Depending upon final operational considerations, some of these anomalies may be critical and their detection and classification is therefore of importance. Despite the several advantages of using Nondestructive testing for flaw detection, the conventional NDT techniques based on the heuristic experience-based pattern identification methods have many drawbacks in terms of cost, length and result in erratic analysis and thus lead to discrepancies in results. The use of several statistical and soft computing techniques in the evaluation and classification operations result in the development of an automatic decision support system for defect characterization that offers the possibility of an impartial standardized performance. The present work evaluates the application of both supervised and unsupervised classification techniques for flaw detection and classification in a semi-infinite half space. Finite element models to simulate the MASW test in the presence and absence of voids were developed using the commercial package LS-DYNA. To simulate anomalies, voids of different sizes were inserted on elastic medium. Features for the discrimination of received responses were extracted in time and frequency domains by applying suitable transformations. The compact feature vector is then classified by different techniques: supervised classification (backpropagation neural network, adaptive neuro-fuzzy inference system, k-nearest neighbor classifier, linear discriminate classifier) and unsupervised classification (fuzzy c-means clustering). The classification results show that the performance of k-nearest Neighbor Classifier proved superior when compared with the other techniques with an overall accuracy of 94% in detection of presence of voids and an accuracy of 81% in determining the size of the void in the medium. The assessment of the various classifiers’ performance proved to be valuable in comparing the different techniques and establishing the applicability of simplified classification methods such as k-NN in defect characterization. The obtained classification accuracies for the detection and classification of voids are very encouraging, showing the suitability of the proposed approach to the development of a decision support system for non-destructive testing of materials for defect characterization.

Structural health monitoring (SHM) is concerned with the continuous, long-term assessment of structural integrity. One commonly investigated SHM technique uses guided ultrasonic waves, which travel through the structure and interact with damage. Measured signals are then analyzed in software for detection, estimation, and characterization of damage. One common configuration for such a system uses a spatially-distributed array of fixed piezoelectric transducers, which is inexpensive and can cover large areas. Typically, one or more sets of prerecorded baseline signals are measured when the structure is in a known state, with imaging methods operating on differences between follow-up measurements and these baselines. Presented here is a new class of SHM spatially-distributed array algorithms that rely on sparse reconstruction. For this problem, damage over a region of interest (ROI) is considered to be sparse. Two different techniques are demonstrated here. The first, which relies on sparse reconstruction, uses an a priori assumption of scattering behavior to generate a redundant dictionary where each column corresponds to a pixel in the ROI. The second method extends this concept by using multidimensional models for each pixel, with each pixel corresponding to a "block" in the dictionary matrix; this method does not require advance knowledge of scattering behavior. Analysis and experimental results presented demonstrate the validity of the sparsity assumption. Experiments show that images generated with sparse methods are superior to those created with delay-and-sum methods; the techniques here are shown to be tolerant of propagation model mismatch. The block-sparse method described here also allows the extraction of scattering patterns, which can be used for damage characterization.

Τα σύνθετα υλικά οργανικής μήτρας ενισχυμένα με ίνες γυαλιού είναι μια κατηγορία υλικών που έχει υψηλό τεχνολογικό ενδιαφέρον τις τελευταίες δεκαετίες με πληθώρα εφαρμογών στην αεροπορική και διαστημική βιομηχανία, στην αυτοκινητοβιομηχανία, στη formula 1, στα σπορ και γενικότερα όπου οι απαιτήσεις για υψηλή επίδοση των υλικών συνδυάζονται με την απαίτηση για χαμηλό βάρος. Στην κατεύθυνση αυτή έχει συντελέσει και το διαρκώς μειούμενο κόστος παραγωγής των υλικών αυτών μέσω της χρήσης καινοτόμων τεχνικών. Η συνεχής εξέλιξη των υλικών αυτών οδηγεί σε βελτιωμένα υλικά ενισχυτικής και μητρικής φάσης αλλά και εντελώς καινούρια υλικά και προσεγγίσεις όπως είναι ενισχυτικές φάσεις στη νανοκλίμακα (nanofibers, nanotubes). Η εισαγωγή τέτοιων υλικών στη μήτρα συνθέτων υλικών αλλάζει τις μηχανικές και φυσικές τους ιδιότητες με τρόπο πολλές φορές ολοκληρωτικό. Είναι προφανές ότι η τεκμηριωμένη γνώση και ανάπτυξη μεθόδων μη καταστροφικού ελέγχου της δομικής ακεραιότητας αλλά και η γνώση της μηχανικής συμπεριφοράς μέσω της διαδικασίας εξέλιξης της βλάβης σε μια κατηγορία υλικών με τόσο σημαντικές εφαρμογές είναι ζητούμενο από την ερευνητική κοινότητα παγκοσμίως. Προς αυτήν την κατεύθυνση είναι και η συμβολή της παρούσας διατριβής. Μη καταστροφικές μέθοδοι και δοκιμές εφαρμόζονται εδώ και πολλά χρόνια σε σύνθετα υλικά οργανικής μήτρας με επιτυχία παρά την εγγενή ανομοιογένεια και ανισοτροπία που παρουσιάζουν. Ωστόσο πάντα παραμένει ισχυρή η ζήτηση για μεθόδους που θα βοηθήσουν προς την κατεύθυνση της αύξησης της αξιόπιστης χρήσης των υλικών αυτών μέσω της διαρκούς αποτίμησης και γνώσης της φέρουσας ικανότητάς τους. Η συσσώρευση της βλάβης σε σύνθετα υλικά οργανικής μήτρας που υπόκεινται σε μηχανική φόρτιση είναι ένα ζήτημα που έχει διερευνηθεί εκτενώς μέχρι σήμερα. Ωστόσο, η εισαγωγή ενίσχυσης (carbon nanotubes, CNT) στη μήτρα αλλάζει τους μηχανισμούς δημιουργίας και εξέλιξής της. Επίσης προστίθεται η δυνατότητα της μέτρησης μιας ιδιότητας που εμφανίζεται ως αποτέλεσμα της εισαγωγής αυτής και η οποία είναι η ηλεκτρική αγωγιμότητα. Ο βασικός λοιπόν σκοπός της εργασίας αυτής είναι η μελέτη της χρήσης μη καταστροφικών ελέγχων κατά τη διάρκεια μηχανικών δοκιμών συσσώρευσης βλάβης στα υλικά αυτά, καθώς επίσης και η εισαγωγή της μέτρησης της ηλεκτρικής αντίστασης τους ως ικανής μεθόδου παρακολούθησης και ποσοτικοποίησης της βλάβης αυτής. Η διερεύνηση της επιβελτίωσης των μηχανικών ιδιοτήτων λόγω της εισαγωγής των CNT στα υλικά αυτά μέσω της σύγκρισης με τις ιδιότητες που έχουν χωρίς την προσθήκη αυτή. Αναλυτικότερα οι στόχοι που επιδιώξαμε να πετύχουμε στα πλαίσια της διατριβής είναι οι ακόλουθοι: • Μελέτη της διεθνούς βιβλιογραφίας στα συγκεκριμένα θέματα. • Εκτέλεση ειδικά επιλεγμένων μηχανικών δοκιμών σε σύνθετα υλικά Glass/vinylester και Glass/vinylester με CNT (κυκλικά πειράματα φόρτισης – αποφόρτισης – επαναφόρτισης). • Χρήση εξελιγμένων μη καταστροφικών μεθόδων όπως η χρήση δεδομένων ταχύτητας διάδοσης υπερηχητικών ελαστικών κυμάτων (UT) και η ακουστική εκπομπή (AE) για την παρακολούθηση της βλάβης κατά τη διάρκεια των μηχανικών δοκιμών. • Διερεύνηση καταγραφών ηλεκτρικής αντίστασης ως δείκτη βλάβης του υλικού. • Δοκιμές θραυστομηχανικής συμπεριφοράς για την εκτίμηση της βελτίωσης των επιδόσεων του υλικού παρουσία των CNT. / Multi wall carbon nanotubes were used as an additive in the matrix of glass / vinylester composites, in order to improve their damage tolerance and provide a means for their damage assessment at any stage of their loading history. The improvement of the damage tolerance is expected to stem from the incorporation of an additional interfacial area that activates energy dissipation mechanisms such as interfacial sliding, fibre pull out and bridging as well as crack bifurcation and arrest; all these mechanisms are active at the nanoscale. The life monitoring is performed via the electrical resistance changes in the conductive carbon nanotube network within the composite matrix; this network follows any deformation of the composite providing real time strain monitoring and, at the same time, pinpoints all loci of failure through the local breach of the conductive path that lead to a monotonic increase in the overall resistance. The experimental findings verify both the increased damage tolerance of the doped composites and the reliable damage assessment of the composite at all stages of its loading history. Other Non - Destructive Techniques were utilized in order to detect and quantify the accumulating damage. Inverse scattering theory and phase velocity data were used in order to determine the elastic constants of the stifness matrix of the anisotropic material. Fracture toughness and fatigue life behaviour were investigated for both the material systems.

Το αντικείμενο της παρούσας διδακτορικής διατριβής είναι η ανάπτυξη μιας εναλλακτικής μεθόδου μη καταστροφικού ελέγχου (ΜΚΕ) για αγώγιμα υλικά, που συνδυάζει την ηλεκτρομαγνητική διέγερση - επαγωγική θέρμανση του υλικού και επιθεώρηση με μεταβατική υπέρυθρη θερμογραφία. Με ένα μεταβαλλόμενο μαγνητικό πεδίο επάγονται δινορρεύματα εντός του εξεταζόμενου δοκιμίου. Η θερμότητα που παράγεται από τα δινορρεύματα, δημιουργεί θερμοκρασιακές διαφορές οι οποίες τείνουν να εξομαλυνθούν μέσω της θερμικής αγωγής. Κάποια ατέλεια στη δομή του υλικού, όπως είναι μια ρωγμή, θα επηρεάσει άμεσα ή έμμεσα τη ροή της θερμότητας και κατ’ επέκταση τη θερμοκρασιακή κατανομή στην επιφάνεια του υλικού. Χρησιμοποιώντας την υπέρυθρη θερμογραφία μπορούμε να απεικονίσουμε σε δύο διαστάσεις τη θερμοκρασιακή κατανομή της επιφάνειας του επιθεωρούμενου δοκιμίου και να εντοπίσουμε την ατέλεια αυτή. Η παρούσα διατριβή επικεντρώνεται στην υπολογιστική και πειραματική διερεύνηση της αποτελεσματικότητας και της αξιοπιστίας της ηλεκτρομαγνητοθερμικής μεθόδου ως μεθόδου ΜΚΕ σε αγώγιμα υλικά. Αφού πραγματοποιηθεί αναλυτική περιγραφή του μοντέλου με το οποίο προσεγγίζονται τα ηλεκτρομαγνητικά - θερμικά φαινόμενα της ηλεκτρομαγνητικής διέγερσης - επαγωγικής θέρμανσης αγώγιμων υλικών, αναπτύσσεται υπολογιστικός κώδικας για την υλοποίηση του μοντέλου. Με τη χρήση του υπολογιστικού προγράμματος διερευνάται η σημασία και η σπουδαιότητα ενός μεγάλου πλήθους παραμέτρων που επηρεάζουν την αποτελεσματικότητα της ηλεκτρομαγνητοθερμικής μεθόδου με απώτερο στόχο τη βελτιστοποίηση της. Στη συνέχεια ακολουθεί πειραματική επαλήθευση των αριθμητικών αποτελεσμάτων, όπου και αποδεικνύεται η αξιοπιστία των υπολογιστικών μοντέλων που χρησιμοποιήσαμε κατά την αριθμητική διερεύνηση της μεθόδου. Κατ’ αυτόν τον τρόπο επαληθεύεται η αποτελεσματικότητα της μεθόδου στον ΜΚΕ έλεγχο αγώγιμων υλικών. Το γενικό συμπέρασμα που προκύπτει είναι ότι η ηλεκτρομαγνητοθερμική μέθοδος αποτελεί μια αξιόπιστη μέθοδο για τον ΜΚΕ αγώγιμων υλικών. Απομένει πλέον να διερευνηθούν οι δυνατότητες της μεθόδου στο έπακρο, ώστε να αναδειχθεί το εύρος των εφαρμογών αυτής και να χρησιμοποιηθεί ενδεχομένως σε περιπτώσεις όπου μέχρι σήμερα κυριαρχούν άλλες διαγνωστικές μέθοδοι. / The subject matter of the present dissertation is the development of an alternative method for non-destructive inspection of conducting materials, which combines electromagnetic excitation – thermal conduction and inspection with transient infrared thermography. A time-varying magnetic field is used to induce eddy currents inside the conducting material under inspection. The Ohmic power generated in the material by the eddy currents creates temperature gradients which tend to be ironed out through thermal conduction. A defect in the material structure, such as a cracking, will affect the heat flow either directly or indirectly and hence the temperature distribution at the surface of the material. By employing infrared thermography, it is then possible to visualize in two-dimensional the temperature distribution over the excited surface of the tested specimen and detect the defect. The present dissertation focuses on computational and experimental investigation of the effectiveness and reliability of electromagnetic-thermal method as a method for non destructive inspection of conductive materials. After have been made a detailed description of the model which describes the electromagnetic-thermal phenomena of electromagnetic excitation - induction heating in conductive materials, it was developed a computer program based on the above model. Using the computer program we investigated the significance and the importance of a large number of parameters affecting the effectiveness of electromagnetic-thermal method, with a view to optimize the method. The experimental verification of numerical results, indicate the reliability of computational model used in the numerical investigation of the method and verifies the method’s effectiveness for non destructive inspection of conducting materials. The general conclusion is that the electromagnetic - thermal method is a reliable method for non destructive inspection of conductive materials. It remains the full potentials of the method to be investigated, in order to extend the range of applications and use the method in cases where today dominate other diagnostic methods.

CAPES / A detecção de defeitos de soldagem em imagens radiográficas visa garantir a segurança das estruturas em análise com o objetivo de evitar perdas financeiras e prevenir contra danos ambientais. Atualmente, a inspeção de juntas soldadas é uma atividade essencialmente humana e, portanto, está sujeita a erros relacionados à acuidade visual, à experiência, à fadiga e às distrações do inspetor, afetando a repetitividade e reprodutibilidade deste processo. Nesse sentido, este trabalho apresenta um método para auxiliar na detecção de defeitos em juntas soldadas de tubulações de petróleo, utilizando radiografias computadorizadas adquiridas pela técnica de exposição Parede Dupla Vista Dupla (PDVD). O método desenvolvido compreendeu a aplicação do realce das imagens tratadas, a segmentação de descontinuidades e a redução do espaço de busca pela eliminação da região central da junta soldada PDVD. Dessa maneira, os referidos procedimentos contribuíram para que as descontinuidades segmentadas que correspondiam a regiões de defeito em potencial fossem classificadas por Redes Neurais Artificiais (RNA) Multilayer Perceptron (MLP), realizando a detecção de defeitos de soldagem. / Detection of weld defects in radiographic images aims to ensure the safety of analyzed structures in order to avoiding financial losses and prevent against environmental damage. Nowadays, the inspection of welded joints is essentially a human activity and, therefore, it is subject to errors related to the inspector visual acuity, experience, fatigue and distractions, affecting the repeatability and reproducibility of this process. In this sense, this work presents a method to assist the detection of weld defects in welded joints of petroleum pipelines in computed radiography acquired by Double Wall Double Image (DWDI) technique. The developed method involved the application of contrast enhancement of treated images, segmentation of discontinuities and, the search space reduction by eliminating the central region of the DWDI weld. Thus, these procedures contributed to that segmented discontinuities which correspond to potential weld defects regions were classified by Multilayer Perceptron Neural Networks, performing the detection of weld defects.

CNPQ; LASCA / Este trabalho propõe um algoritmo para identificar descontinuidades internas em uma peça metálica a partir de sinais A-scan provenientes de um ensaio não-destrutivo por ultrassom. As descontinuidades são identificadas por seu formato, dimensões, orientação e localização. Esse algoritmo é baseado na resolução de problemas inversos. O problema da identificação de descontinuidades é modelado utilizando uma abordagem inédita, em que a descontinuidade é caracterizada por dois elementos distintos: a sua amplitude de espalhamento e a localização de seu centro. Com essa nova forma de representação, o problema de identificação da descontinuidade passa a ser dividido em dois subproblemas. O primeiro é o problema de reconstrução para encontrar a localização do centro da descontinuidade e o segundo é o problema de caracterização para estimar os parâmetros geométricos da descontinuidade. Os ensaios realizados comprovam que o problema de localização é resolvido de forma satisfatória utilizando o algoritmo de reconstrução de imagens esparsas UTSR (ultrasonic sparse reconstruction). A caracterização da descontinuidade é realizada por um algoritmo baseado no método dos mínimos quadrados não-lineares, com a inclusão de um termo de regularização não-quadrático utilizando norma l1. Os resultados obtidos tanto com dados simulados como com dados experimentais mostram que esse algoritmo estima as descontinuidades de forma satisfatória. / The present work proposes an algorithm to identify internal discontinuities in metallic specimen from A-scan ultrasonic signals. Discontinuities are identified by their shape, size, orientation and location. This algorithm is based on inverse problems. The identification of discontinuities is modeled using a novel approach. The discontinuity is modeled by two distinct elements: its scattering amplitude and its center location. Through this approach, the identification problem is split into two sub problems. The first is a reconstruction problem to find the location of the discontinuity. The second is a model identification problem to estimate geometric parameters of the discontinuity. Simulations and experimental validation show that the localization problem is satisfactorily solved using the UTSR (ultrasonic sparse reconstruction) algorithm. The characterization of discontinuities is carried out by an algorithm based on non-linear least squares with l1 norm regularization. The results obtained with simulated data as well with experimental data show a fine estimation of discontinuities.

Les enceintes de confinement des centrales nucléaires sont conçues pour assurer des propriétés de confinement et d'étanchéité précises en situations d'usage normal et en cas d'accident nucléaire, afin d'éviter la dissémination de radioéléments dans l'environnement. Ces enceintes étant construites en béton, la maîtrise de l'évaluation de la perméabilité du béton et de ses évolutions sous contraintes permettrait d'évaluer les débits de fuite susceptibles d'intervenir dans le temps sous certaines sollicitations. Jusqu'aujourd'hui, il existe plusieurs techniques de mesure de la perméabilité et ces techniques aboutissent à des résultats différents pour une même éprouvette de béton. La première étude que nous avons réalisée a été donc de proposer une normalisation de la mesure de la perméabilité : cette normalisation a abouti à la détermination d'une perméabilité caractéristique du béton et indépendante de la technique de mesure. Parallèlement à cette démarche, nous avons aussi proposé d'évaluer la perméabilité du béton à l'aide d'observables du Contrôle Non Destructif comme la permittivité et la résistivité électrique. Les résultats obtenus montrent la possibilité d'estimer la perméabilité dans les conditions du béton sur site. La deuxième étude réalisée est relative à la maîtrise de la perméabilité sous contraintes. Au laboratoire, nous avons étudié la perméabilité d'éprouvettes en béton de différentes tailles dans diverses conditions de séchage, de sollicitation thermique, d'endommagements mécanique et couplés. Nous avons ainsi pu établir des modèles perméabilité-endommagements en fonction de chaque source d'endommagement. La troisième étude réalisé porte sur la transposition des résultats de laboratoire au site, à travers l'utilisation de maquette d'enceinte nucléaire de dimensions plus importantes et représentatives de l'ouvrage réel (VeRCoRs à l'échelle 1/3). L'ensemble des résultats des deux premières études ont été mise à contribution et ont permis d'aboutir à des calculs des débits de fuite et des Temps d'Etablissement du Régime Permanent d'Ecoulement cohérents avec les hypothèses de calculs. / The building reactor of the nuclear power plants are designed to provide precise containment and sealing properties in normal use situations and in the event of a nuclear accident, to prevent the spread of radioelements in the environment. Since these enclosures are made of concrete, controlling the evaluation of the permeability of concrete and its evolutions under stress would make it possible to evaluate the leakage rates that may occur over time under certain conditions. Until today, there are several techniques for measuring permeability and these techniques lead to different results for the same concrete specimen. The first study we carried out was therefore to propose a standardization of the permeability measurement: this standardization resulted in the determination of a characteristic permeability of concrete and independent of the measurement technique. In parallel with this approach, we also proposed to evaluate the permeability of concrete using observables from Non-Destructive Testing such as permittivity and electrical resistivity. The results obtained show the possibility of estimating the permeability under concrete conditions on site. The second study carried out relates to the control of the permeability under constraints. In the laboratory, we investigated the permeability of concrete specimens of different sizes under various conditions of drying, thermal stress, mechanical and coupled damage. We could establish permeability-damage models according to each source of damage. The third study carried out relates to the transposition from laboratory results to the site, using nuclear power plants mock-up of larger dimensions and representative of the actual structure (VeRCoRs at scale 1/3). All the results of the first two studies have been used and have led to calculations of leak rates and Time to Reach Steady State (TRSS) consistent with the calculation assumptions.