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Reparation av inbyggda stålbalkar : Ekonomiska och tidseffektiva förstärkningsmetoder med låg klimatpåverkan / Repairing embedded steel beams : Economic and time efficient reinforcement methods with low climatic effectBjörling, Linnéa, Diaz Gardell, Alicia January 2019 (has links)
CE-märkta stålbalkar byggdes in i två konstruktioner innan det upptäcktes att det fanns porer i hattbalkarnas svets. Den defekta svetsen innebar att byggnadernas bärförmåga inte kunde garanteras. Kunskapen kring inbyggt stål stommaterial med defekt svets är liten. Det är dessutom svårt att reparera och undersöka stålbalkarnas svets när de är inbyggda i konstruktionen. Syftet med examensarbetet är att hitta förstärkningsmetoder och därmed främja kortare hanteringstid vid händelse av att defekta stålbalkar byggs in i en konstruktion. Metoden består av litteraturstudie och intervjuer. Först granskas litteratur för att förstå problematiken med defekt svets i stål stommaterial. Därefter utförs intervjuer med personer erfarna inom stål och byggteknik. Examensarbetets resultat är ett flertal förstärkningsmetoder för inbyggda stålbalkar med defekt svets. Några av förstärkningsmetoderna är möjliga att utföra med den kunskap som finns idag medan andra behöver undersökas och värderas innan de kan implementeras. Förstärkningsmetoderna som är möjliga att utföra med dagens kunskap är: att svetsa om balken från insidan eller att placera en balk/fackverksbalk under den befintliga balken. De metoder som behöver undersökas och värderas vidare är: skruvförband genom balken, efterspänna balken med vajrar eller GWS-stag och sedan fylla den med betong, föra in en balk inne i balken och fylla balken med betong och att kolfiberförstärka svetsen. Slutsatsen är att den här studien kan ligga till grund för framtagning av åtgärder för inbyggda stålbalkar med defekt svets med mål att uppnå den dimensionerade hållfastheten och en lösning som är tidseffektiv, kostnadseffektiv och har låg klimatpåverkan. / Before the discovery of pores in the weld, CE-certified steel beams were embedded in two constructions. Since the weld was defective, the carrying capacity of the two buildings was questioned. There is a lack of knowledge about embedded steel beams with a damaged weld. It is difficult to repair and analyze the weld when the beams are embedded in the construction. The aim of the study is to find reinforcement methods for steel beams. The expectation is to shorten time in the production in case that defective steel beams are detected in the construction. The method consists of a literature study complemented by interviews. Literature is examined to understand the problem of defective welding in the steel framework. Subsequently, interviews are conducted with professionals within steel and building technology. The result of the report is multiple reinforcement methods for embedded steel beams with a defective weld. Some of the methods are possible to implement with the knowledge available today. Other methods need to be examined and assessed before executed. The reinforcement methods that are possible to perform are: weld the beam from the inside or place a beam underneath the existing beam. The methods that need further analysis are: drill a screw joint through the beam, strain the beam with steel-wires and fill the inside with concrete, place a beam inside the existing beam and fill the inside with concrete and last to reinforce the weld with carbon fibers. The conclusion is that this study can be used when reinforcement methods are needed for embedded steel beams with a defective weld. The objective with these methods is to restore the load-bearing capacity as well as finding a solution that is time efficient, economic and has low climatic influence.
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In-Plane Fatigue Characterization of Core Joints in Sandwich Composite StructuresElmushyakhi, Abraham 20 December 2017 (has links)
No description available.
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[pt] AVALIAÇÃO DE PARÂMETROS ESTRUTURAIS BASEADA EM DADOS: EXPLORANDO ONDAS ULTRASSÔNICAS GUIADAS POR MEIO DE MODELAGEM COMPUTACIONAL E APRENDIZADO DE MÁQUINA / [en] DATA-DRIVEN ASSESSMENT STRUCTURAL PARAMETERS: EXPLORING ULTRASONIC GUIDED WAVES THROUGH COMPUTATIONAL MODELING AND MACHINE LEARNINGBARBARA VALERIA DE ABREU LAVOR 19 December 2024 (has links)
[pt] Métodos não destrutivos desempenham um papel fundamental na
análise de integridade de componentes civis e mecânicos. Este trabalho
apresenta uma abordagem integrativa que pode ser aplicada em avaliações
estruturais, envolvendo o estudo de ondas ultrassônicas guiadas com técnicas
de aprendizado de máquina, juntamente com métodos alternativos para
ampliar o conjunto de dados necessários para treinamento dos modelos
de predição. É proposta uma metodologia para a estimativa de tensão
em placas, incorporando dados sintéticos gerados por interpolação linear
a partir de resultados experimentais. Paralelamente, utilizando o Semi-Analytical Finite Element Method (SAFE), foi examinada a propagação
de ondas em guias cilíndricos, comparando resultados com simulações
numéricas e posteriormente, aplicando o método SAFE para gerar curvas de
dispersão que servem de dados para alimentar uma rede neural para predição
de espessura nominal de dutos. Este estudo contribui para a eficiência e
precisão das metodologias aplicadas em integridade estrutural, englobando
abordagens de dados experimentais e simulados computacionalmente. / [en] Non-destructive methods play a fundamental role in analyzing theintegrity of civil and mechanical components. This work presents an integrative approach that can be applied in structural assessments, involving the study of ultrasonic waves guided with machine learning techniques,together with alternative methods to expand the data set necessary fortraining prediction models. A methodology for estimating stress in platesis proposed, incorporating synthetic data generated by linear interpolationfrom experimental results. In parallel, using the Semi-Analytical Finite Element Method (SAFE), we examined wave propagation in cylindrical guides,comparing results with numerical simulations and subsequently, applyingthe SAFE method to generate dispersion curves that serve as data to feeda neural network for predicting nominal pipeline thickness. This study contributes to the efficiency and precision of methodologies applied in structuralintegrity, encompassing experimental and computationally simulated dataapproaches.
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Měření akustických vlastností stavebních materiálů pomocí pseudonáhodné sekvence / Measurement of Acoustic Parameters of Building Materials by Pseudorandom SequenceCarbol, Ladislav January 2017 (has links)
The thesis deals with research of pulse compression of the acoustic signal in terms of applications in civil engineering. Based on the study and analysis of these methods, automated measuring equipment for non-destructive testing with pseudorandom sequence of maximum length and automated signal analysis, have been designed and implemented. In a single test cycle are obtained three parameters that characterize the linear and nonlinear behavior of the sample. A nonlinear parameter, Time of Flight of ultrasonic wave in the sample is further in the work compared with the conventional pulse measuring, and spectral analysis is compared with the method impact-echo. Functionality and optimization of the testing method was performed on a total of three sets of test pieces made of various building materials. The experiments proved simple result interpretation, and high sensitivity to structural damage associated with temperature loading. The results were correlated with conventional nondestructive methods and by destructive testing was measured change in compressive strength and flexural strength. This work also includes continual measurement of fundamental frequency influenced by moisture on a mortar sample. Use of pulse compression signal is in the civil engineering quite unusual. Only in recent years this topic is discussed in scientific articles with increasing frequency. Great potential lies in the association of three test methods into a single. Beneficial is high test speed and measurement reproducibility, but also theoretical possibility of testing massive test elements.
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Mikromechanischer Körperschall-Sensor zur StrukturüberwachungAuerswald, Christian 23 June 2016 (has links)
Strukturüberwachung und Condition Monitoring spielen in vielen Gebieten der Technik eine große Rolle. Zur Überwachung von Leichtbaustrukturen aus faserverstärkten Kunststoffen bietet sich hierfür besonders die Körperschall-Analyse an. Am Markt etabliert sind hierfür piezoelektrische Signalaufnehmer. Diese Arbeit stellt eine kostengünstige Alternative
in Form von mikromechanischen Körperschall-Sensoren vor. Eine Besonderheit stellt hierbei das Prinzip des mechanischen Bandpasses dar. Es wird die Elektronik- und Gehäuseentwicklung sowie die experimentelle Untersuchung dargelegt. / Structural health monitoring is of vital importance in many technical fields. For monitoring of lightweight structures made from fiber reinforced plastics especially acoustic emission testing is used. Commercially available transducers utilize the piezoelectric effect. This thesis introduces a cost efficient alternative in form of micromechanical sensors, in particular sensors using the principle of a mechanical bandpass. The design of electronics and the packaging as well as experimental investigations are provided.
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Data Fusion for Multi-Sensor Nondestructive Detection of Surface Cracks in Ferromagnetic MaterialsHeideklang, René 28 November 2018 (has links)
Ermüdungsrissbildung ist ein gefährliches und kostenintensives Phänomen, welches frühzeitig erkannt werden muss. Weil kleine Fehlstellen jedoch hohe Testempfindlichkeit erfordern, wird die Prüfzuverlässigkeit durch Falschanzeigen vermindert. Diese Arbeit macht sich deshalb die Diversität unterschiedlicher zerstörungsfreier Oberflächenprüfmethoden zu Nutze, um mittels Datenfusion die Zuverlässigkeit der Fehlererkennung zu erhöhen.
Der erste Beitrag dieser Arbeit in neuartigen Ansätzen zur Fusion von Prüfbildern. Diese werden durch Oberflächenabtastung mittels Wirbelstromprüfung, thermischer Prüfung und magnetischer Streuflussprüfung gewonnen. Die Ergebnisse zeigen, dass schon einfache algebraische Fusionsregeln gute Ergebnisse liefern, sofern die Daten adäquat vorverarbeitet wurden. So übertrifft Datenfusion den besten Einzelsensor in der pixelbasierten Falscherkennungsrate um den Faktor sechs bei einer Nutentiefe von 10 μm.
Weiterhin wird die Fusion im Bildtransformationsbereich untersucht. Jedoch werden die theoretischen Vorteile solcher richtungsempfindlichen Transformationen in der Praxis mit den vorliegenden Daten nicht erreicht. Nichtsdestotrotz wird der Vorteil der Fusion gegenüber Einzelsensorprüfung auch hier bestätigt.
Darüber hinaus liefert diese Arbeit neuartige Techniken zur Fusion auch auf höheren Ebenen der Signalabstraktion. Ein Ansatz, der auf Kerndichtefunktionen beruht, wird eingeführt, um örtlich verteilte Detektionshypothesen zu integrieren. Er ermöglicht, die praktisch unvermeidbaren Registrierungsfehler explizit zu modellieren. Oberflächenunstetigkeiten von 30 μm Tiefe können zuverlässig durch Fusion gefunden werden, wogegen das beste Einzelverfahren erst Tiefen ab 40–50 μm erfolgreich auffindet. Das Experiment wird auf einem zweiten Prüfkörper bestätigt.
Am Ende der Arbeit werden Richtlinien für den Einsatz von Datenfusion gegeben, und die Notwendigkeit einer Initiative zum Teilen von Messdaten wird betont, um zukünftige Forschung zu fördern. / Fatigue cracking is a dangerous and cost-intensive phenomenon that requires early detection. But at high test sensitivity, the abundance of false indications limits the reliability of conventional materials testing. This thesis exploits the diversity of physical principles that different nondestructive surface inspection methods offer, by applying data fusion techniques to increase the reliability of defect detection.
The first main contribution are novel approaches for the fusion of NDT images. These surface scans are obtained from state-of-the-art inspection procedures in Eddy Current Testing, Thermal Testing and Magnetic Flux Leakage Testing. The implemented image fusion strategy demonstrates that simple algebraic fusion rules are sufficient for high performance, given adequate signal normalization. Data fusion reduces the rate of false positives is reduced by a factor of six over the best individual sensor at a 10 μm deep groove.
Moreover, the utility of state-of-the-art image representations, like the Shearlet domain, are explored. However, the theoretical advantages of such directional transforms are not attained in practice with the given data. Nevertheless, the benefit of fusion over single-sensor inspection is confirmed a second time.
Furthermore, this work proposes novel techniques for fusion at a high level of signal abstraction. A kernel-based approach is introduced to integrate spatially scattered detection hypotheses. This method explicitly deals with registration errors that are unavoidable in practice. Surface discontinuities as shallow as 30 μm are reliably found by fusion, whereas the best individual sensor requires depths of 40–50 μm for successful detection. The experiment is replicated on a similar second test specimen.
Practical guidelines are given at the end of the thesis, and the need for a data sharing initiative is stressed to promote future research on this topic.
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Improved inspection and micrometrology of embedded structures in multi-layered ceramics : Development of optical coherence tomographic methods and toolsSu, Rong January 2014 (has links)
Roll-to-roll manufacturing of micro components based on advanced printing, structuring and lamination of ceramic tapes is rapidly progressing. This large-scale and cost-effective manufacturing process of ceramic micro devices is however prone to hide defects within the visually opaque tape stacks. To achieve a sustainable manufacturing with zero defects in the future, there is an urgent need for reliable inspection systems. The systems to be developed have to perform high-resolution in-process quality control at high speed. Optical coherence tomography (OCT) is a promising technology for detailed in-depth inspection and metrology. Combined with infrared screening of larger areas it can solve the inspection demands in the roll-to-roll ceramic tape processes. In this thesis state-of-art commercial and laboratory OCT systems, operating at the central wavelength of 1.3 µm and 1.7 µm respectively, are evaluated for detecting microchannels, metal prints, defects and delaminations embedded in alumina and zirconia ceramic layers at hundreds of micrometers beneath surfaces. The effect of surface roughness induced scattering and scattering by pores on the probing radiation, is analyzed by experimentally captured and theoretically simulated OCT images of the ceramic samples, while varying surface roughnesses and operating wavelengths. By extending the Monte Carlo simulations of the OCT response to the mid-infrared the optimal operating wavelength is found to be 4 µm for alumina and 2 µm for zirconia. At these wavelengths we predict a sufficient probing depth of about 1 mm and we demonstrate and discuss the effect of rough surfaces on the detectability of embedded boundaries. For high-precision measurement a new and automated 3D image processing algorithm for analysis of volumetric OCT data is developed. We show its capability by measuring the geometric dimensions of embedded structures in ceramic layers, extracting features with irregular shapes and detecting geometric deformations. The method demonstrates its suitability for industrial applications by rapid inspection of manufactured samples with high accuracy and robustness. The new inspection methods we demonstrate are finally analyzed in the context of measurement uncertainty, both in the axial and lateral cases, and reveal that scattering in the sample indeed affects the lateral measurement uncertainty. Two types of image artefacts are found to be present in OCT images due to multiple reflections between neighboring boundaries and inhomogeneity of refractive index. A wavefront aberration is found in the OCT system with a scanning scheme of two galvo mirrors, and it can be corrected using our image processing algorithm. / <p>QC 20140428</p> / Multilayer (FP7-NMP4-2007-214122)
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