North American civil infrastructures are aging. According to recent (2016) Canadian infrastructure report card, 33% of the Canadian municipal infrastructures are either in fair or below fair condition. The current deficit of replacing fair and poor municipal bridges (covers 26% of bridges) is 13 billion dollars. According to the latest report (2017) by American Society of Civil Engineers, the entire American infrastructure have been given a D+ condition rating. This includes some of the structural elements of infrastructures that pose a significant risk and there is an urgent need for frequent and effective inspection to ensure the safety of people. Visual inspection is a commonly used technique to detect and identify surface defects in bridge structures as it has been considered the most feasible method for decades. However, this currently used methodology is inadequate and unreliable as it is highly dependent on subjective human judgment. This labor-intensive approach for inspection requires huge investment in terms of an arrangement of temporary scaffoldings/permanent platforms, ladders, snooper trucks, and sometimes helicopters. To address these issues associated with visual inspection, the completed research suggests three innovative methods; 1) Combined use of Fuzzy logic and Image Processing Algorithm to quantify surface defects, 2) Unmanned Aerial Vehicle (UAV)-assisted American Association of State Highway and Transportation Officials (AASHTO) guideline-based damage assessment technique, and 3) Patent-pending multi-device robotics-based sensor data acquisition system for mapping and assessing defects in civil structures. To detect and quantify subsurface defects such as voids and delamination using a UAV system, another patent-pending UAV-based acoustic method is developed. It is a novel inspection apparatus that comprises of an acoustic signal generator coupled to a UAV. The acoustic signal generator includes a hammer to produce an acoustic signal in a structure using a UAV. An outcome of this innovative research is the development of a model to refine multiple commercially available NDT techniques’ data to detect and quantify subsurface defects. To achieve this, a total of nine 1800 mm × 460 mm reinforced concrete slabs with varying thicknesses of 100 mm, 150 mm and 200 mm are prepared. These slabs are designed to have artificially simulated defects like voids, debonding, honeycombing, and corrosion. To determine the performance of five NDT techniques, more than 300 data points are considered for each test. The experimental research shows that utilizing multiple techniques on a single structure to evaluate the defects, significantly lowers error and increases accuracy compared to that from a standalone test. To visualize the NDT data, two-dimensional NDT data maps are developed. This work presents an innovative method to interpret NDT data correctly as it compares the individual data points of slabs with no defects to slabs with simulated damage. For the refinement of NDT data, significance factor and logical sequential determination factor are proposed. / Graduate / 2020-09-06

L’hydroxyapatite est l'un des matériaux les plus fréquemment utilisés pour le traitement des maladies des tissus durs. Le zinc est impliqué dans chaque étape du métabolisme du tissu osseux et une carence en zinc peut déterminer l'apparition de l'ostéoporose. Le dopage de l'hydroxyapatite par des ions de zinc peut créer un meilleur matériau, avec des propriétés physico-chimiques supérieures. L'objectif de cette thèse est de créer de nouveaux matériaux biocéramiques avec des propriétés spécifiques qui pourraient permettre le développement de nouvelles applications dans le domaine médical. Une attention particulière a été portée à la caractérisation des propriétés biologiques et physico-chimiques. Dans cette thèse, une nouvelle méthode non destructive de caractérisation de nanoparticules de céramique a été développée. La thèse se compose de six chapitres. Les deux premiers décrivent les biomatériaux et les techniques de caractérisation physico-chimique et ultrasonore utilisées, les trois chapitres suivants présentent des résultats expérimentaux originaux et le dernier chapitre des conclusions générales. La nouveauté de cette étude réside dans la caractérisation de matériaux biocéramiques à base d'hydroxyapatite pour de possibles applications biomédicales. Une nouvelle méthode non destructive de caractérisation par ultrasons est présentée. Ces résultats pourraient contribuer à développer une technique rapide et efficace pour la caractérisation de matériaux céramiques, qui pourrait être utilisée dans le futur en complément des techniques communément utilisées dans le domaine médical, notamment dans le domaine orthopédique. / Hydroxyapatite is one of the most commonly used material used for treating hard tissue diseases. Zinc is involved in each stage of bone tissue metabolism and a lack of it may determine the onset of osteoporosis. Doping hydroxyapatite with Zn ions may cause an improvement of the hydroxyapatite properties, thus resulting a better material, with enhanced physico-chemical properties. Devices based on collagen and hydroxyapatite inhibit the development of bacterial pathogens, reducing the risk of post-surgical infections. The goal of this thesis was to create new bioceramic materials with specific properties which could allow development of new applications in the medical field. Special attention was paid to the characterization of the physico-chemical and biological properties. In this thesis are reported for the first time non-destructive, ultrasonic spectroscopy studies performed on ceramic solutions. The thesis consists of six chapters, the first two comprised of general aspects, the following three chapters present original experimental results and the last chapter presents general conclusions. The novelty of this study lies in the method of synthesis and characterization of bioceramic materials based on hydroxyapatite for possible biomedical applications. Furthermore, a new non-destructive method of characterization techniques based on ultrasounds is presented. The results presented in this study could create a premises of developing a rapid and effective technique for characterization of ceramic materials, which could be used in the future as a complementary technique widely used on different materials used in the medical field, especially in the orthopedic field.

No description available.

The impedance response of silicon carbide whisker-alumina composites is investigated utilizing novel stereological techniques along with a microstructural simulation. The stereological techniques developed allow for a measurement of the trivariate length, radius and orientation distribution of whiskers in the composite from measurements made on two-dimensional sectioning planes. The measured distributions are then utilized in a Monte Carlo simulation that predicts connectivity in the composite for a given volume fraction. It is assumed in the simulation that connectivity factors dominate the electrical response, not interfacial phenomena. The results of the simulation are compared with impedance spectra taken from real samples, and conclusions are drawn regarding the nature of the impedance response.

No description available.

Τα βασικά προβλήματα που εμφανίζονται κατά τον μη καταστροφικό έλεγχο με την μέθοδο της ακουστικής εκπομπής (ΑΕ) είναι η απομόνωση του θορύβου, η αξιόπιστη επεξεργασία και αναγνώριση των σημάτων από πραγματικές αστοχίες του υλικού, ο προσδιορισμός της θέσης της αστοχίας και ο χαρακτηρισμός του τύπου και της κρισιμότητας της βλάβης στο υλικό. Κατά την διάρκεια εκπόνησης της παρούσας διδακτορικής διατριβής δόθηκε ιδιαίτερη έμφαση στην μεθοδολογία εύρεσης της θέσης της πηγής ΑΕ δεδομένου ότι είναι γνωστοί οι χρόνοι άφιξης κάποιων χαρακτηριστικών των σημάτων που έχουν καταγραφεί στους αισθητήρες. Αναπτύχθηκαν ολοκληρωμένες μέθοδοι στις οποίες επεξεργάζονται τα σήματα των αισθητήρων για να προσδιοριστούν τα χαρακτηριστικά που θα αποτελέσουν την βάση για τον υπολογισμό της θέσης της πηγής. Έχοντας εξασφαλίσει την αξιόπιστη μέθοδο προσδιορισμού των χρόνων άφιξης ορισμένων χαρακτηριστικών των σημάτων αναπτύχθηκαν μέθοδοι οι οποίοι χρησιμοποιούν όσο το δυνατό περισσότερη πληροφορία για βελτίωση της ακρίβειας εκτίμησης και μικρότερες απαιτήσεις σε επιπλέον γνώση δεδομένων. / In non-destructive control, acoustic emission signals are used for reliable construction monitoring and damage recognition. In this thesis several methods for the acoustic emission (AE) source location are developed and evaluated. Automatic estimation of minimum number and optimal placement of sensors are derived at the minimum sum of localization errors at randomly positioning AE sources. A new method was proposed and evaluated for the estimation of optimum sensors position in problems of AE localization in spherically and cylindrical structures. The particular methodology can be easily adjusted in different structures, and is of paramount important in case where the sensors must be permanently placed in a structure. Six source location methods were developed using a parametric model for the AE signal, genetic algorithm and simulated annealing. The magnitude of the Fast Fourier Transform or the position of the maximum peak of cross correlation function are extracted from the AE signals acquired by multiple sensors positioning at arbitrary locations in a plain or a cylindrical structure. The AE source is estimated at the minimum of the error function between the signal or the features derived from the acoustic signal, and the signal or features estimated from the AE signal model. Moreover, a novel source location method based on radial basis function network is presented and evaluated. The problem of AE localization in plane surfaces and cylindrical surfaces are solved in a close-form using the arrival-time differences using three or more sensors. A close-form solution for Acoustic-Emission source location (AESL) and material constant G is presented and evaluated in simulation experiments using the Time-of-Arrival (TOA) of several events detected in arbitrary positioning sensors in 3d-space in dispersive media. The normalized distances and the constant G are derived from the TOA at four arbitrary selected sensors using the events propagation velocities in a reference material. The actual AE position is derived using the multidimensional scaling method using the complete set of sensors. In simulation experiments, the advantages of the proposed method are demonstrated. Overcoming the most important weakness of the proposed method, the use of only four sensors for the estimation of the parameter G, an algorithm for successive estimation of the AESL is developed using the complete set of TOAs.An extension of the AESL method is developed using a successive approximation algorithm assuming a minimum of two known propagation velocities for the recorded events. It is proved that the proposed algorithm converges to the local minimum of the optimization function. Under few restrictions the proposed algorithm can be used to estimate the AESL even in case where the propagation velocities for all events are unknown.

Στα πλαίσια της διατριβής, πραγματοποιήθηκε μελέτη και ανάλυση σημάτων πηγών ακουστικής εκπομπής, προτάθηκαν νέες ολοκληρωμένες μεθοδολογίες βασισμένες σε συμβατικές αλλά και προχωρημένες τεχνικές επεξεργασίας και ανάλυσης δεδομένων για την εξαγωγή εκείνων των χαρακτηριστικών που διαχωρίζουν τα σήματα ακουστικής εκπομπής από τον περιβάλλοντα θόρυβο. Εξετάσθηκαν ποια χαρακτηριστικά γνωρίσματα (παράμετροι) περιέχουν σημαντικό τμήμα της “πληροφορίας” έτσι ώστε στη συνέχεια χρησιμοποιώντας προχωρημένες μεθόδους αναγνώρισης προτύπων να επιτευχθεί ανίχνευση και χαρακτηρισμός ρωγμοειδών αστοχιών σε θορυβώδεις συνθήκες αλλά και σε σύνθετες κατασκευές. Συνοπτικά στην παρούσα διατριβή προτάθηκε και αξιολογήθηκε μια νέα μέθοδος για την εκτίμηση της βέλτιστης τοποθέτησης αισθητήρων. Προτάθηκαν δύο μέθοδοι για τον εντοπισμό θέσης πηγής ακουστικής εκπομπής. Πραγματοποιήθηκε για πρώτη φορά εξαγωγή ενενήντα παραμέτρων, εκ’ των οποίων οι εξήντα επτά προσδιορίστηκαν μετά από επεξεργασία του σήματος στο πεδίο του χρόνου ενώ οι υπόλοιπες είκοσι τρεις με επεξεργασία του σήματος στο πεδίο της συχνότητας. H μείωση του αριθμού των παραμέτρων, χωρίς όμως να μειώνεται ταυτόχρονα και η αξιοπιστία του ταξινομητή, αποτελεί ένα μεγάλος μέρος έρευνας που πραγματοποιήθηκε στα πλαίσια εκπόνησης της παρούσας διατριβής. Προτάθηκαν και αξιολογήθηκαν τέσσερις μέθοδοι επιλογής παραμέτρων. Για πρώτη φορά κατασκευάστηκαν και αξιολογήθηκαν ολοκληρωμένα συστήματα ανίχνευσης αστοχιών τα οποία έχουν την δυνατότητα να ανιχνεύουν τη δημιουργία ρωγμών λόγω καταπόνησης σε καιρικές συνθήκες βροχής. Στο τελευταίο μέρος της διατριβής κατασκευάστηκε και αξιολογήθηκε ένα καινοτόμο σύστημα χαρακτηρισμού ρωγμοειδών γεγονότων για τις ενισχύσεις πλοίων, υπό προσομοιωμένες συνθήκες λειτουργίας του πλοίου. / The present PhD thesis dealt with the following subjects: best sensors position, source location, features extraction and features selection, crack detection on raining conditions, crack characterization in ship structures. A new method, for the estimation of the best sensors position that used for accurate acoustic emission source location on empty spherical surfaces, is presented. Two acoustic emission source location methods are presented and evaluated. In this thesis, an extensive set of ninety features (forty-one novel features) are extracted from acoustic emission signals, sixty-seven in the time domain and twenty-three by processing the signal in the frequency domain. The features are estimated for two time-frames the first has 1msec duration (typically the signal does not contain all the reflections from the material edges) and the second has 32msec of the normalized signal, which is not separated by its reflections, in small structures. To achieve robust performance both in accuracy and computational complexity of any classification method, it is necessary to pick up the most relevant features. Four features selection methods are proposed and evaluated. In outside constructions (e.g bridges, tanks, ships etc) real-life noises reduce significantly the capability of location and characterization acoustic emission sources. Among the most important types of noise is the rain, producing signal similar to crack. A completed system of detection crack on condition of rain is estimated. An efficient system for automatic and real-time characterization of crack events using a robust set of features to monitor crack events in ship structures is presented. In normal operation of ship, real-life noises (e.g engines, sea waves, weather conditions etc) reduce significantly the capability of location and characterization of crack events.

No description available.

An importantmatter in the field of building physics is the questioning of how wellbuildings sustain ageing, and how their overall efficiency evolves over their lifetime.Many causes for degradation are carried by moisture transfer through these porousmaterials. Indeed, infiltratedwatermay transport chemicals, altermechanical properties,and cause freeze thaw damage or mould development. It may also affect thermalproperties and energetic efficiency, as well as the health and comfort of the occupants.The understanding of how moisture transfer properties evolve during the lifespan ofbuildingmaterials is however far fromcomplete. The pore structure of amaterial itselfmay change over time, or be altered by cracks and defects caused bymechanical loadingand aggravated bymoisture-induced degradation. All sizes of fracturesmay have astrong impact on heat and moisture flow in the building envelope, and their influenceis to be accounted for in any long-termperformance assessment, not only of buildingand building components,but of any built structure in general. A considerable amountof work has already been performed in order to allow predicting the hygrothermal behaviourof buildings over longer periods of time. However, an accurate prediction of allranges of damage in a building component, from microscopic to macroscopic cracks,supposes an extensive knowledge of all damage-inducing, time-varying boundary conditionsof the problem during the simulation time. This also implies high computationalcosts, as well as important needs formaterial characterisation.As a complement to these predictive methods, a new approach was undertaken,combining experimental characterisation of crack patterns and numerical simulationsof coupled heat and moisture transfer. First, a preliminary study was conducted, consistingof measurements of the water vapour permeability of diffusely damaged constructionmaterials.This allowed identifying the experimental and numerical requirementsof the remainder of the work, which aimed at providing measurements of fracturenetwork geometries for their explicitmodelling in heat andmoisture transfer simulations.Digital image correlation and acoustic emission monitoring were then performedduring the degradation of cementitiousmaterials, in order to obtain quantitativedata on crack pattern geometries, and to assess the possibilities for damagemonitoringat the building scale. The optical technique, along with an appropriate imageprocessing procedure, was found suitable for providing precisemeasurements of fracturenetworks. Amethodwas also proposed for the interpretation of acoustic emissionrecordings in terms of damage quantification, localisation and identification.Then, a newmodel for coupled heat andmoisturemodelling in cracked porousmediawas developed, that allows including such measurements of fracture patterns intoa finite element mesh, and simulating flow accordingly. This model was validated onthe basis of experimentalmeasurements: digital image correlationwas performed duringthe fracturing of concrete samples, in which moisture uptake was then monitoredusing X-ray radiography. A good accordance was found between experimental and numericalresults in terms of 2-dimensional moisture concentration distributions. The validated code was then used for the simulation of test cases, in order to assess the hygrothermalperformance of damagedmulti-layered building components subjected toreal climatic conditions. The consequences of fractures on themoisture accumulationin walls, on the amplitude of sorption/desorption cycles and on the thermal performance,were observed.

The level of axial compressive load on an existing column is one of the most important parameters to be known. This thesis aims to investigate current state of the art of NDT techniques, their application, and investigate alternative ways of using current technology to estimate the axial compressive load on columns. For this purpose, transverse vibration technique, ultrasonic pulse velocity method, and waveform and frequency content evaluation of ultrasound are investigated and implemented. Analytical and experimental studies on column transverse vibration frequency and axial load relationship are conducted and presented. The measured experimental lateral vibration frequency of the first bending mode decreased under increased axial compressive load as expected from analytical studies. Relationships between axial load and vibration frequency are derived and defined for different boundary conditions. Relationship charts are prepared for complicated solution sets. Numerical calculations, laboratory and field tests revealed that natural frequencies of slender columns are more sensitive to axial load changes. The available ultrasonic methods are investigated and described. Stress wave propagation in anisotropic solids is studied. Previous works have shown that the propogation velocity of stress waves depends on the density, Poisson&rsquo / s ratio, modulus of elasticity of the medium, and the state of stress. The orientation of the loading direction to the wave propogation direction, the couplant (ultrasonic transmission gel) uniformity, variability in the pressure applied to hold the transducers, alignment of the transmitting and recieving transducers, accuracy and modelling of Poisson&rsquo / s ratio make the ultrasonic testing more complicated.