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Im Rahmen des Forschungsprojekts "Artificial Intelligence for Rail Inspection" (AIFRI) wird ein KI-Algorithmus entwickelt, um die Fehlererkennung und Bewertung bei der Auswertung von Schienenprüfungen mittels Ultraschall- und Wirbelstromprüfverfahren zu verbessern. Je nach Prüfverfahren werden relevante Schienenschädigungen (z. B. Head Checks) und Artefakte (z. B. Bohrungen) entsprechend analysiert und in einem parametrisierbaren digitalen Zwilling abgebildet, um anschließend die KI-Algorithmen trainieren zu können. Mit der Simulation können Prüffahrten virtuell durchgeführt und Schadensbilder für das KI-Training erzeugt werden, die das Verhalten komplexer Systeme reproduzieren, ohne dass das reale System benötigt wird. Die Modellannahmen sind dabei von erheblicher Bedeutung, denn unzureichende Modellannahmen führen leicht zu falschen Simulationsergebnissen. Um die Ergebnisse einer Simulation ordnungsgemäß darstellen zu können, ist das Simulationsmodell selbst zu überprüfen.
Die Vollständigkeit, Richtigkeit und Genauigkeit der Simulationsergebnisse werden anhand von realen Prüfungen verifiziert. Für die Verifikation der Ultraschallsimulation werden hier Stegbohrungen als Referenzreflektoren herangezogen. Als Testkörper stehen Schienensegmente mit unterschiedlichen Profiltypen sowie speziell angefertigte Testkörper mit schienenähnlicher Geometrie zur Verfügung. In den Testkörpern befinden sich künstliche und reale Schädigungen in Kopf-, Steg- und Fußbereich, sowie Bohrungen mit Nuten. Die Validierung der Wirbelstromsimulation erfolgt an Testkörpern, die aus Schienenköpfen gefertigt sind. Dabei werden die Signale für unterschiedliche Nuttiefen und Nutenpaare mit unterschiedlichen Abständen untersucht.
Für die Modellierung der Simulationsergebnisse verweisen wir auf das ebenfalls eingereichte Poster „Simulation von Ultraschall- und Wirbelstromprüfdaten für die Schienenprüfung“.
Das Projekt AIFRI wird im Rahmen der Innovationsinitiative mFUND unter dem Förderkennzeichen 19FS2014 durch das Bundesministerium für Digitales und Verkehr gefördert.
Im Rahmen des Forschungsvorhabens AIFRI „Arteficial Intelligence for Rail Inspection“ wird der Prozess der mechanisierten Schienenprüfung in einem digitalen Zwilling abgebildet, um in einem zweiten Schritt mit KI-Algorithmen eine automatisierte Defekterkennung und -klassifizierung trainieren zu können. Hierzu werden relevante Schienenschädigungen und in der Schiene vorhandene Artefakte analysiert und in skalierbare Modelle übertragen.
Die Norm DIN EN 16729-1 „Bahnanwendungen - Infrastruktur - Zerstörungsfreie Prüfung an Schienen im Gleis - Teil 1: Anforderungen an Ultraschallprüfungen und Bewertungsgrundlagen“ gilt für die Prüfausrüstung von Schienenprüffahrzeugen und handgeführten Rollgeräten und legt die Anforderungen an die Prüfgrundsätze und -systeme bei der Prüfung verlegter Eisenbahnschienen fest, um vergleichbare Ergebnisse in Bezug auf Lage, Art und Größe der Unregelmäßigkeiten in den Schienen zu erhalten.
Um die Performance von Prüfsystemen in der Simulation zu evaluieren, wurden die in den Anhängen der DIN EN 16729-1 angegebenen Bezugsreflektoren als künstliche Reflektoren (nach Anhang A) und simulierte Reflektoren (nach Anhang B) in einem digitalen Zwilling mit einem Schienenprofil 54E4 nach DIN EN 13674-1 sowie mit vereinfachter Geometrie als virtuelle Testschienen abgebildet.
Die Simulationen wurden mit den in den Tabellen 3 und 4 nach DIN EN 16729-1 definierten Prüfkopfwinkeln durchgeführt. Die Rechnungen wurden im Labormaßstab an Testkörpern verifiziert und die Signal-Rausch-Abstände für Untersuchungen im Feld ermittelt.
Ergebnisse der Untersuchungen und Möglichkeiten der Anwendung werden vorgestellt.
Das Forschungsvorhaben wird durch das Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) im Rahmen von mFund unter dem Förderkennzeichen 19FS2014 gefördert.
Im Rahmen des Forschungsprojekts "Artificial Intelligence for Rail Inspection" (AIFRI) wird ein KI-Algorithmus entwickelt, um die Fehlererkennung bei der Auswertung von Schienenprüfungen zu verbessern. Der Prozess der mechanisierten Schienenprüfung wird analysiert und die Schienenfehler sowie Artefakte werden in einem digitalen Zwilling abgebildet, um in einem weiteren Schritt die automatische Fehlererkennung und Klassifizierung mit KI-Algorithmen trainieren zu können. Zu diesem Zweck werden Ultraschalldatensätze auf der Grundlage der Regelwerke und Informationen aus der Instandhaltung mit einer Simulationssoftware erstellt, die Anzeigen der verschiedenen Schienenschädigungen und Artefakte enthalten.
Die Schienenfehler werden bei der Auswertung in Fehlerklassen eingeordnet, für das KI-Training priorisiert und auf Basis der von der DB Netz AG ausgewählten Informationen untersucht. Hierfür werden die Schienenfehler nach den für das KI-Training relevanten Merkmalen zerlegt und die Konfiguration der Parameter der Simulation entsprechend abgestimmt.
Für die Grundstruktur des Datensatzes wird ein Schienenmodell mit einer Länge von einem Meter für die Simulation eingesetzt, auf dessen Basis alle bei der Schienenprüfung zu verwendenden Prüfköpfe für den jeweiligen Reflektortyp betrachtet werden. Die simulierten Daten werden auf einer Testschiene im Labormaßstab validiert. Mögliche Einflussparameter wie z. B. der Signal-Rausch-Abstand sowie die Fahrgeschwindigkeit werden in den Datensätzen herangezogen. Die Zusammenstellung eines Testdatensatzes mit lokal veränderlichen Einflussgrößen erfolgt aus den simulierten Daten unter Verwendung der skriptbasierten Programmierumgebung Python und Matlab.
Das Projekt AIFRI wird im Rahmen der Innovationsinitiative mFUND unter dem Förderkennzeichen 19FS2014 durch das Bundesministerium für Digitales und Verkehr gefördert.
Influence of impact angle and real target properties on drop test results of cubic containers
(2017)
Drop test scenarios with cubic containers without impact limiters at interim storage sites or in a final repository have been investigated by numerical simulations. An ideally flat drop is impossible to conduct as a free fall of a container even under laboratory conditions. Dynamic stresses and strains inside the container structure are sensitive to the impact angle. Even very small impact angles cause remarkable changes in the experimental or numerical results when a flat bottom or wall of a container hits a flat target. For drop tests with transport packages the International Atomic Energy Agency (IAEA) regulations define an essentially unyielding target. In contrast, potential accident scenarios for storage containers are derived from site-specific safety analyses or acceptance criteria in Germany. Each interim storage site or repository has a yielding or so-called real target with individual structural and material properties. The real target acts as a kind of impact limiter. A more conservative container design is required if the impact limiting effect of the target is not considered.
Elastomer seals are used in many industrial applications due to their excellent mechanical properties at a wide range of temperatures. Their high versatility and recovery potential under several load conditions make them well suitable for the application in containers designed for transport, storage and/or disposal of radioactive materials. In containers for low and intermediate level radioactive waste, elastomer seals are used as barrier seals, and as auxiliary seals in storage and transportation casks (dual purpose casks) for heat generating radioactive waste, such as spent fuel and high-level waste. While a seal exchange at defined intervals is typical in many conventional applications, it is impossible or at least hard to perform when principles of minimization of radiation exposure have to be considered and prohibit an unnecessary cask handling. An extensive knowledge of the change of the elastomer’s properties during aging and the availability of reliable end-of-lifetime criteria to guarantee the permanent safe enclosure of the radioactive material is mandatory. As BAM is involved in most of the national cask licensing procedures and in the evaluation of cask-related long-term safety issues, great efforts have been already made and are still planned to scientifically support this task.
Compression stress relaxation and compression set were identified as key indicators of elastomer long-term performance and quantitatively investigated in comprehensive test programs. Among other representative types of elastomers, specimens made from ethylene propylene diene rubber (EPDM) were tested before, during and after aging to capture the most important of their complex mechanical properties.
In the presented study, exemplary results were used to simulate the compression stress relaxation and the compression set of elastomer O-rings during aging. Regarding the influence of temperature, the time temperature superposition principle is applied in the relaxation analysis of elastomer O-rings. The proposed model is implemented in the commercial finite element software ABAQUS/Standard® [1] with a sequential temperature displacement coupling. Numerical results match the experimental compression stress relaxation measurements well. The prediction of compression set values after long-term aging shows a relatively good agreement with the experimental results. Nevertheless, all input parameters derived from the specimen tests, additional assumptions concerning boundary conditions and modeling strategy are discussed with regard to the identified slight discrepancies.
The possibility to extend the finite element model to represent the O-ring seal’s ability to recover after a (fast) partial release is taken into account
Testing and numerical simulation of elastomeric seals under consideration of time dependent effects
(2016)
Due to delays in the siting procedure to establish a deep geological repository for spent nuclear fuel and high level waste and in construction of the already licensed Konrad repository for low and intermediate level waste, extended periods of interim storage will become more relevant in Germany. BAM is involved in most of the cask licensing procedures and is responsible for the evaluation of cask-related long-term safety issues. Elastomeric seals are widely used as barrier seals for containers for low and intermediate level radioactive waste. In addition they are also used as auxiliary seals in spent fuel storage and transportation casks (dual purpose casks (DPC)).
To address the complex requirements resulting from the described applications, BAM has initiated several test programs for investigating the behavior of elastomeric seals. These include experiments concerning the hyperelastic and viscoelastic behavior at different temperatures and strain rates, the low temperature performance down to -40°C, the influence of gamma irradiation and the aging behavior.
The first part of the paper gives an overview of these tests, their relevant results and their possible impact on BAM’s work as a consultant in the framework of approval and licensing procedures.
The second part presents an approach of the development of a finite element model using the finite element code ABAQUS®. The long-term goal is to simulate the complex elastomeric behavior in a complete lid closure system under specific operation and accident conditions.
Due to delays in the siting procedure to establish a deep geological repository for spent nuclear fuel and high level radioactive waste as well as in construction of the already licensed Konrad repository for low and intermediate level radioactive waste, extended periods of interim storage become more relevant in Germany. BAM is involved in most of the cask licensing procedures and especially responsible for the evaluation of cask-related long-term safety issues.
The long-term performance of elastomer seals for lid systems of transport and storage casks, whether used as auxiliary seals in spent fuel casks or as primary seals for low and intermediate level waste packages, is an important issue in this context. The polymeric structure of these seals causes a complex mechanical behavior with time-dependent sealing force reduction.
The results of a comprehensive purpose-designed test program consisting of basic compression and tension tests as well as relaxation tests on unaged specimens of representative types of elastomers (fluorocarbon rubber (FKM) and ethylene propylene diene rubber (EPDM)) at different temperatures and strain rates are presented. They were used to identify the constitutive behavior and to obtain parameters for finite element material models provided by the computer code ABAQUS®. After estimating the influence of uncertainties such as Poisson’s ratio and friction coefficient by sensitivity analyses, the chosen parameters had to prove their suitability for the finite element simulation of the specimen tests themselves.
Based on this preliminary work the simulation of a specific laboratory test configuration containing a typical elastomer seal with circular cross section is presented. The chosen finite element material model and the implemented parameters had to show that they are able to represent not only the specimen behavior under predominantly uniaxial load but also the more complex stress states in real components. Deviations between the measured and calculated results are pointed out and discussed.
For the consideration of long-term effects in the simulation of elastomer behavior, test results of aged specimens are needed. First information about a new test program, started recently and planned to provide these data, are given.
Introduction of numerical methods to simulate damage accumulations of composite pressure vessel
(2019)
The development of hydrogen as a reliable energy sector is strongly connected to the performance and the level of safety of hydrogen storage system. Composite damage due to static, fatigue loading and ageing effect is a progressive process. The common failure modes of composite pressure vessels are majorly fibre break, then interface debonding, matrix cracking and delamination. The damages occur subsequently or even simultaneously, failure modes may interactive each other. These attributes make the composite fatigue more complex and difficult. The presentation here is to show how the numerical methods being developed to match this challenge, particularly the numerical model of composite pressure vessel developed by FibreMod research project is introduced. The potential role of numerical simulation in the certification process and the outlook for the further trend is also discussed.
Combination of model reduction and adaptive subset simulation for structural reliability problems
(2019)
A safe and robust design is a key criterion when building a structure or a component. Ensuring this criterion can either be performed by fullfilling prescribed safety margins, or by using a full probabilistic approach with a computation of the failure probability. The latter approach is particularly well suited for complex Problems with an interaction of different physical penomena that can be described in a numerical model. The bottleneck in this approach is the computational effort. Sampling methods such as Markov chain Monte Carlo methods are often used to evaluate the system reliability. Due to small failure probabilities (e.g. 10^6) and complex physical models with already and extensive computational effort for a single set of parameters, these methods a prohibitively expensive. The focus of this contribution is to demonstrate the advantages of combining model reduction techniques within the concept a variance reducing adaptive sampling procedures. In the developed method, a modification of the adaptive subset simulation based on Papaioannou et al. 2015 is used and coupled with a limit state function based on Proper Generalized Decomposition (PGD) (Chinesta et al. 2011). In the subset simulation the failure probability is expressed as a product of larger conditional failure probabilities. The intermediate failure events are chosen as a decreasing sequence. Instead of solving each conditional probability with a Markov chain approach, an importance sampling approach is used. It is be shown that the accuracy of the estimation depends mainly on the number of samples in the last sub-problem. For model reduction, the PGD approach is used to solve the structural problem a priori for a given Parameter space (physical space plus all random parameters). The PGD approach results in an approximation of the problem output within a prescribed range of all input Parameters (load factor, material properties, ..). The approximation of the solution by a separated form allows an evaluation of the limit state function within the sampling algorithm with almost no cost. This coupled PGD – adaptive subset Simulation approach is used to estimate the failure probability of examples with different complexity. The convergence, the error propagation as well as the reduction in computational time is discussed.
In this project, the transfer of material and computational models to a different material class, i. e. to an austenitic cast iron with spherical graphite, was studied to predict the lifetime of exhaust turbocharger hot parts under TMF load. Therefore, the alloy EN-GJSA-XNiSiCr35-5-2 (Ni-Resist D-5S) was chosen. Firstly, an experimental database was established for this material because it was insufficient at the beginning of the project. Tensile, creep, LCF and TMF tests were carried out, which served the calibration of the models. The TMF tests were used to validate the deformation model.
The investigated material showed a strongly deviating behavior under TMF conditions compared to the ferritic SiMo alloys investigated in the previous project: Ni-Resist exhibited a comparable strength under OP- and IP-TMF loading, while the ferritic alloys showed a distinct higher strength under IP-TMF load. Evidence for creep damage was found for Ni-Resist with increasing temperatures and hold times under tensile load. This is also a distinct difference to the SiMo alloys.
The stress-strain behavior of the LCF and TMF tests is well described by the model for the new material in most cases. The same is true for the lifetime prediction, which is within a factor of two, except for 900 °C. The model was verified by a thermal shock test of an exhaust man-ifold. The aim of the simulation was in particular to predict the crack locations. An accurate prediction of the cycle number was not expected, as the component is afflicted with a casting skin, while the test pieces were not. The predominant number of experimentally determined locations were predicted.
A fundamental objective of this project was to study the effect of HCF vibrations on the TMF lifetime experimentally in further detail and to extend the existing lifetime model to account for superimposed HCF load. In a first step, the database of the previous project based on SiMo 4.05 was considerably extended to determine the different influencing parameters. A proce-dure was developed which reproduces the lifetime reduction by the superimposed HCF vibra-tions during a TMF cycle. It is assumed that the superimposed HCF load accelerates the crack propagation considerably after exceeding a certain crack length. The time when the accelera-tion occurs, is significant for the lifetime reduction. This approach allows predicting the lifetimes in good agreement with the experiments for both materials.
The cause and type of solid particle erosion varies across different industries and locations in plants, for instance the particles could be volcanic ash in aero-engines, fly ash in boilers, exfoliated scale in steam turbines or mineral matter in oil excavation. In all cases the durability of materials can be improved through better surface engineering and coatings, but the development of these is restricted also due to lack of generic models. In this respect, the simulation of a single impact with finite element methods using 100.000 knots would take about 15 minutes. In order to simulate an entire particle erosion experiment, up to one billion of such impacts would have to be considered. In order to simulate an entire particle erosion experiment, the current work presents an alternative approach capable of calculating about half a billion impacts on a substrate in less than six hours on a standard PC. The predictions of the simulation will be compared to a steel sample at 600°C eroded by aluminum oxide particles with a velocity around 210 m/s.
Die Entwicklung von Werkzeugen zur realitätsnahen Nachbildung eines industriellen CT-Systems in einer Simulationssoftware ist derzeit Hauptaufgabe des WIPANO Forschungsprojektes CTSimU2 Realistische Simulation realer Röntgencomputertomografie - Systeme mit basisqualifizierter Simulationssoftware. Als Voraussetzung dienen dabei Simulationssoftwares, die durch das Testframework aus dem Vorprojekt CTSimU1 basisqualifiziert wurden. Das Testframework testet die hinreichende physikalische Korrektheit und Funktionalität einer Simulationssoftware (Basisqualifizierung der Software). Für eine realitätsnahe Nachbildung ist nicht nur die Güte der Simulationssoftware, sondern insbesondere die Güte der Parametrisierung des realen CT-Systems in der Simulationssoftware ausschlaggebend. Dabei kann das Vorgehen der Parametrisierung in vier Schritte unterteilt werden: die Datenaufnahme am realen CT-System (Schritt 1), die Auswertung der aufgenommenen Daten für die Generierung allgemeiner Parameterangaben (Schritt 2), die Übertragung der Parameter in die spezifischen Simulationssoftwares (Schritt 3) und die Validierung der resultierenden Simulationsparameter durch einen geeigneten Test (Schritt 4). Ziel des Projektes ist es daher neben der Erarbeitung eines Werkzeugkastens mit allgemeinen Methoden zur Datenaufnahme und Auswertung der Daten, die Entwicklung eines Tests, auf dessen Basis die ausreichend korrekte Simulation einer realen Anlage beurteilt werden kann. Die erarbeiteten Ergebnisse sollen wie bereits im Vorprojekt CTSimU1 in einen Richtlinienentwurf für die Richtlinienreihe VDI/VDE 2630 übertragen werden. Dieser Beitrag soll einen Überblick über das Projekt und die ersten Ergebnisse geben.
Reliability analysis of the ultrasonic inspection system for the inspection of hollow railway axles
(2016)
Axles are safety critical train components that are subjected to significant cyclic loading during operation. If the crack is initiated in the axle, cyclic loading will lead to crack propagation. To maintain structural integrity, axles must be periodically inspected for fatigue cracks in the material. Deutsche Bahn uses mechanized ultrasonic inspection system to inspect hollow railway axles. The inspections are performed from the bore surface, using several conventional transducers with different incident angles, inspecting the axle along the entire length. As with the every safety critical system, the reliability of these inspections must be determined with regard to their flaw detection capabilities. Traditionally this is done according to the relevant standards for railway vehicles. To investigate the capability of the NDT system more thoroughly, we want to evaluate the capability of the inspection system to detect flaws by means of probability of detection (POD) curves. It will be shown that other parameters, beside the size of the crack, for example crack position in the axle, influence the detection of the crack. The influence of these parameters was evaluated using ultrasonic simulation. The evaluation served as an input for the manufacturing of the flaws in the real scale axle. Once these axles are inspected and the data evaluated, using data from both measurement and simulation, we will express the POD of the crack as function of influencing parameters using the multiparameter POD model.
The SPONGE
(2020)
Computational Advances
(2014)
Introduction to PowderCell
(2015)
Muon tomography applied to assessment of concrete structures: First experiments and simulations.
(2022)
Non-destructive techniques for reinforced or prestressed concrete inspection such as ultrasound or radar have found regular, successful practical application but sometimes suffer from limited resolution and accuracy, imaging artefacts or restrictions in detecting certain features. Until the 1980s X-ray transmission was used in case of special demands and showed a much better resolution than other NDT techniques. However, due to safety concerns and cost issues, this method is almost never used anymore. Muon tomography has received much attention recently. Novel detectors for cosmic muons and tomographic imaging algorithms have opened new fields of application. As a first step towards practical application in civil engineering and as a proof of concept we used an existing system to image the interior of a reference reinforced 600 kg concrete block. Even with a yet not optimized setup for this kind of investigation, the muon imaging results are at least of similar quality compared to ultrasonic and radar imaging, potentially even better. In a second step, we have performed simulations to assess the potential for a set of important testing problems such as grouting defects in tendon ducts. The next steps include the development of mobile detectors and optimizing acquisition and imaging parameters.
The aim of this research is to characterize a surface that has experienced low wear on asperities. The procedure used is similar to an Abbott-Firestone approach and based on functional bearing of projected area, surface area and material volume. Surface features extracted from surface height maps provide more comprehensive information about topography changes due to wear. Thus, they were used to detect low wear volumes on the top of asperities.
Der Fachbereich 7.6 untersucht seit einiger Zeit an Auslagerungsständen auf dem Testgelände in Horstwalde Korrosion im maritimen Bereich. Im Moment läuft das System mit künstlichem Meerwasser und simuliert die Bewitterung von Metallproben unter angenäherten klimatischen Bedingungen ähnlich zum natürlichem Habitat. Im Laufe der Zeit konnte nicht intendierter mikrobieller bewuchs beobachtet werden. Es stellte sich die Frage, welche Mikroorganismen vorlagen und ob diese einen Einfluss auf die Korrosionsuntersuchungen haben könnte. Aus diesem Grund wurden 16S-rRNA Untersuchungen durchgeführt welche alle drei Domänen des Lebens widerspiegeln Bakterien, Archaea und Eukaryoten. Es konnte gezeigt werden, dass über 95% der vorliegenden Biomasse Grünalgen waren, die durch Licht Eintrag in den Container Photosynthese betrieben und dadurch an Biomasse zunahmen. Des weiteren konnten Bakterien detektiert werden, welche in der Regel halophilen und aeroben Habitaten zu finden sind. Allerdings wurden auch Sulfat reduzierende Bakterien (MIC) detektiert, wenn auch in einem geringen prozentualen Anteil. Es muss allerdings Berücksichtigt werden, dass die mikrobielle Zusammensetzung sich im Laufe der Zeit weiter ändern kann. Als Ursprung der Biomasse wird, das künstliche Sediment vermutet. Außerdem wäre es für zukünftige Experiment denkbar, das System mit echtem Sediment aus dem marinen Habitat anzuimpfen.
X-ray backscatter imaging is a well established NDT technique to inspect complex objects using only a single-sided access. In difference to conventional transmission X-ray radiography, the X-ray backscatter imaging utilizes the scattered radiation caused by the Compton scattering effect. In order to achieve high backscatter intensities from a test object, it is necessary to optimize the backscatter system parameters namely the angle between source and slit camera, the slit collimator system, the shielding between source and scatter camera, and the type of detector. In addition, the scatter phenomena in to the investigated object need to be understood.
In this contribution, we present a Monte Carlo model McRay which considers all relevant single and multiple interactions of photons and electrons. This model can be used to simulate back scatter techniques. It allows not only calculating the scatter image for a given experimental setup but also registering the spectrum of the detected scattered photons. Both aspects are important to understand the imaging process, to interpret the results, and to optimize the backscatter camera investigated here. Additionally experimental results will be presented and compared with simulations.
In this contribution, we discuss the influence of scattered radiation on materials’ effective attenuation coefficients at higher X-ray energies. The selected X-ray spectra for the dual-energy experiments correspond to 3 MV and 7.5 MV acceleration potential of the used betatron. Experiments were performed on a test phantom containing step wedges of different low- and high-Z materials. We evaluated the ratio between low- and high-energy X-ray attenuation coefficients quantitatively based on simulated poly-energetic high-energy X-ray source spectra and the detector sensitivity using the “analytical Radiographic Testing inspection simulation tool” (aRTist) developed at BAM. Furthermore, the influence of scattered radiation is evaluated using an efficient Monte-Carlo simulation. The simulation results are compared quantitatively with experimental investigations. Finally, important applications of the proposed technique in the context of aviation security are discussed.
Untersuchungen haben gezeigt, dass sich ältere Schafe gut als Modell für die mi-nimalinvasive Behandlung von Osteoporose eignen [1]. Um einen Behandlungs-effekt nachzuweisen, wird dabei unter anderem die Belastungsfähigkeit des Kno-chens durch Druckversuche an kleinen Zylindern aus den behandelten und unbe-handelten Knochen bestimmt. Diese hatten hier einen Durchmesser von 10 mm und eine Höhe von 13 mm. Für den in-situ Druckversuch wurde eine Deben CT5000 verwendet. In einer Serie von Druckerhöhungen wurden die Proben je-weils tomographiert. Dabei ergab sich zunächst, dass mit der µCT innerhalb der Knochen im oberen und unteren Bereich schon Brüche nachgewiesen werden können, obwohl die gemessene Kraftaufnahmekurve keine Unstetigkeit zeigt. Deswegen wurden die starren Probenaufnehmer der Deben Anordnung durch bewegliche Aufnehmer ergänzt, die eine leichte Verkippung der belasteten Ober-flächen ausgleichen können. Ein Vergleich der gemessenen und der aus den µCT-Daten berechneten Verschiebungsfelder ergab trotz der komplexen Struktur der Knochen gute Übereinstimmungen. Diese Verschiebungen wurden dann mit den aus den µCT Daten simulierten mechanischen Druckversuchen, Von-Mise-Spannungen und daraus berechneten Verschiebungen verglichen. (VGStudioMax Simulation).
Bei der mechanisierten Prüfung von verlegten Eisenbahnschienen mit Schienenprüfzügen werden große Prüfdatenmengen mit einer komplexen Prüfkopfanordnung in kurzer Zeit bei hohen Prüfgeschwindigkeiten aufgenommen. Der Typ und der Zustand des Gleises kann während der Prüfung in schnellem Wechsel streckenabhängig variieren, z.B. unterschiedliche Schienentypen oder Abnutzung sowie beim Durchfahren von Weichenstraßen. Der logistische Aufwand diese Prüfung insgesamt durchzuführen ist dabei sehr hoch und eine Wiederholung der Prüfung in einem kurzen Zeitintervall nicht möglich.
Es werden während der Prüfdatenaufnahme bereits Datenreduktionsverfahren, Rekonstruktionsverfahren und Online-Parametervariationen eingesetzt, um die Ergebnisdaten zum einen in Ihrer Menge zu begrenzen zum anderen auf die lokalen Geometrie- und Zustandsänderungen des Prüfobjektes Schiene zu reagieren.
Im Regelwerk EN 16729-1 „Zerstörungsfreie Prüfung an Schienen im Gleis -Teil 1: Anforderungen an Ultraschallprüfungen und Bewertungsgrundlagen“ werden Bezugsreflektoren definiert, um die Leistung automatisierter Ultraschallsysteme für die Schienenprüfung zu verifizieren.
Um die Einflüsse der komplexen Randbedingungen der mechanisierten Schienenprüfung auf das Prüfergebnis evaluieren zu können, wurde ein Softwarewerkzeug erarbeitet, mit dem eine Prüffahrt auf einer Schiene simuliert werden kann. Basierend auf der Datenaufnahme mit dem Glassy-Rail-Diagramm können alle relevanten Prüfparameter und Artefakte in Schienen sowie Störeinflüsse bei der Simulation berücksichtigt werden.
Rail inspection performed by ultrasonic rail inspection trains is a complex and challenging process. A large number of variables and parameters given by the environment, the track and the testing-system have an influence on the overall performance of the inspection and the inspection result. Typically the parameter vary in a combination depending on the track condition.
To evaluate the individual influence of each relevant variable, simulation tools can be used. Therefore the entire inspection process has to be transferred into a model using combined modelling techniques.
The goal of this work is to model an instrumented ultrasonic test run with a rail inspection train with the parameters varied by a script over a virtually driven distance.
In diesem Vortrag werden die aktuellen Techniken für die angewandte mechanisierte Schienenprüfung dargestellt und Perspektiven für die Zukunft der handgeführten und fahrzeuggeführten Prüftechnik aufgezeigt. Insbesondere wird hier die bildhafte Darstellung, der zusätzliche Nutzen von Arraysensoren sowie die Möglichkeiten der Simulation von Schienenfehlern vorgestellt.
3D concrete printing is an innovative new construction technology offering the potential to enable an efficient production of individual structures with less consumption of resources. The technology will mainly shape the future construction philosophy, automate the build process and help reaching the climate goals in civil engineering. From the design of a structure to the printed component, many individual steps based on different software are required which must be repeated for each new or changed structure. First, the geometry of the structure is created in a CAD program. Second, the print path is defined in a slicer software creating the machine code for the printer (G-Code). Finally, the structure can be printed. Furthermore, a numerical model of the printed structure is necessary for process optimization and control. In that way the number of test prints can be reduced, costs can be saved, and the component behavior can be predicted. For those purposes, an automated workflow allowing to run all steps or individual steps without interacting with each individual software program is required. Furthermore, changes in parameters or the exchange of parts (using a different design or different printer) must be possible in a simple manner. In the presented work, such an automated workflow based on the example of a parametrized wall element for extrusion-based concrete printing is developed. The investigated wall structure is parametrized using the global geometry parameters: height, width, thickness, radius, kind of infill structure (honey-comb, zig-zag) and number of repeated infills. All above mentioned steps are implemented via python interfaces using pydoit as workflow tool. General interfaces with prescribed input and output files are defined allowing adaptations for different software and tools. The described workflow is tested by performing a test series investigating the influence of the in-fill structure on the mechanical properties of the test walls.
Simulational tools are applied to investigate the physical properties of nanoparticles.
For the description of radioactive gold nanoparticles, particles scattering simulations are performed with the Geant4 monte carlo simulation toolkit.
The temperature dependent behaviour of the magnetization dynamics of different magnetic nanoparticles are simulated with the object oriented micormagnetic framework (OOMMF).
X-ray photoelectron-spectroscopy (XPS) allows simultaneous irradiation and damage monitoring. Although water radiolysis is essential for radiation damage, all previous XPS studies were performed in vacuum. Here we present near-ambient-pressure XPS experiments to directly measure DNA damage under water atmosphere. They permit in-situ monitoring of the effects of radicals on fully hydrated double-stranded DNA. Our results allow us to distinguish direct damage, by photons and secondary low-energy electrons (LEE), from damage by hydroxyl radicals or hydration induced modifications of damage pathways. The exposure of dry DNA to x-rays leads to strand-breaks at the sugar-phosphate backbone, while deoxyribose and nucleobases are less affected. In contrast, a strong increase of DNA damage is observed in water, where OH-radicals are produced. In consequence, base damage and base release become predominant, even though the number of strand-breaks increases further.
Ray tracing boudary value problems: simulation and SAFT reconstruction for ultrasonic testing
(2016)
The application of advanced imaging techniques for the ultrasonic inspection of inhomogeneous anisotropic materials like austenitic and dissimilar welds requires information about acoustic wave propagation through the material, in particular travel times between two points in the material. Forward ray tracing is a popular approach to determine traveling paths and arrival times but is ill suited for inverse problems since a large number of rays have to be computed in order to arrive at prescribed end points. In this contribution we discuss boundary value problems for acoustic rays, where the ray path between two given points is determined by solving the eikonal equation. The implementation of such a two point boundary value ray tracer for sound field simulations through an austenitic weld is described and its efficiency as well as the obtained results are compared to those of a forward ray tracer. The results are validated by comparison with experimental results and commercially available UT simulation tools. As an application, we discuss an implementation of the method for SAFT (Synthetic Aperture Focusing Technique) reconstruction. The ray tracer calculates the required travel time through the anisotropic columnar grain structure of the austenitic weld. There, the formulation of ray tracing as a boundary value problem allows a straightforward derivation of the ray path from a given transducer position to any pixel in the reconstruction area and reduces the computational cost considerably.
Simulation und Identifizierung von Delaminationen in kohlenstofffaserverstärkten Kunststoffen
(2017)
Kohlenstofffaserverstärkte Kunststoffe werden häufig in sicherheitsrelevanten Gebieten wie im Automobilbau und in der Luftfahrt eingesetzt. Hier besteht ein zunehmender Bedarf an zerstörungsfreien Prüfmethoden um die Sicherheit und Zuverlässigkeit der eingesetzten Bauteile gewährleisten zu können. Aktive Thermographieverfahren ermöglichen die effiziente Prüfung großer Flächen mit hoher Auflösung in wenigen Arbeitsschritten. Ein wichtiges Teilgebiet ist die Ortung und Charakterisierung von Delaminationen, die sowohl bereits in der Fertigung als auch während der Nutzung eines Bauteils auftreten und dessen strukturelle Integrität schwächen können.
In diesem Beitrag beschäftigen wir uns mit der Modellierung und effizienten Finite-Elemente-Simulation solcher Delaminationen, sowie ihrer Rekonstruktion aus gemessenen Oberflächentemperaturen. Dabei sollen die Rekonstruktionsergebnisse nicht nur eine Ortung der Fehlstellen, sondern auch eine quantitative Beschreibung der geometrischen Abmessungen und des Umfangs der Schädigungen ermöglichen. Hier erlauben numerische Rekonstruktionsverfahren basierend auf der Simulation des dreidimensionalen Wärmetransports eine Defektrekonstruktion unter Berücksichtigung lateraler Wärmeleitungsprozesse sowie von anisotropen thermischen Materialeigenschaften. Da solche Verfahren sehr rechenaufwändig sind diskutieren wir schnelle heuristische Rekonstruktionsverfahren für die Anwendung in der Praxis.
Evakuierung von Gebäuden
(2016)
Luftultraschall wird immer häufiger für die Prüfung von anisotropen Faserverbunden eingesetzt. Meistens wir in Durchschallung geprüft, aber bei der einseitigen Zugänglichkeit muss eine Art Tandemtechnik mit Anregung von geführten Wellen angewendet werden. Bei beiden Techniken ist der Signal-Rausch-Abstand wegen der niedrigen akustischen Impedanz der Luft deutlich kleiner als bei einer typischen Prüfung in Kontakttechnik. Bei der Tandemtechnik wird das Signal zusätzlich durch eine größere Divergenz und Dämpfung geschwächt. Deshalb ist es wichtig, die Anregung, Ausbreitung und Detektion von geführten Wellen in Faserverbunden zu verstehen. In diesem Beitrag wird ein Finite-Elemente-Modell für die Simulation von luftgekoppelter Anregung und Ausbreitung von geführten Wellen in Faserverbunden vorgestellt und mit Messungen verglichen. Insbesondere wurde die Wellenausbreitung und Modenkonversion in der Nähe von Schäden in mehreren Parameterstudien untersucht.
The rails of modern railways face an enormous wear and tear from ever increasing train speeds and loads. This necessitates diligent non-destructive testing for defects of the entire railway system.
Non-destructive testing of rail tracks is carried out by rail inspection trains equipped with ultrasonic and eddy current test devices. However, the evaluation of the gathered data is mainly done manually with a strong focus on ultrasonic data, and defects are checked on-site using hand-held testing equipment. Maintenance measures are derived based on these on-site findings.
The aim of the AIFRI project (Artificial Intelligence For Rail Inspection) is to
- increase the degree of automation of the inspection process, from the evaluation of the data to the planning of maintenance measures,
- increase the accuracy of defect detection,
- automatically classify detected indications into risk classes.
These aims will be achieved by training a neural network for defect detection and classification. Since the current testing data is unbalanced, insufficiently labeled and largely unverified we will supplement fused, simulated eddy current and ultrasonic testing data in form of a configurable digital twin.
Non-destructive testing of rail tracks is carried out by using rail inspection cars equipped with ultrasonic and eddy current measurement. The evaluation of test data is mainly done manually, supported by a software tool which pre-selects relevant indications shown to the evaluators. The resulting indications have to be checked on-site using hand-held testing equipment. Maintenance interventions are then derived on the basis of these on-site findings.
Overall aim of the AIFRI (Artificial Intelligence For Rail Inspection) project - funded by the German Federal Ministry of Digital and Transport (BMDV) as part of the mFUND programme under funding code 19FS2014 – is to increase the degree of automation of the inspection process from the evaluation of the data to the planning of maintenance interventions. The accuracy of defect detection shall be increased by applying AI methods in order to enable an automated classification of detected indications into risk classes. For this purpose, data from both eddy current inspections and ultrasonic inspections will be used in combination.
Within the framework of this data-driven project, relevant defect patterns and artefacts present in the rail are analysed and implemented into a configurable digital twin. With the help of this digital twin virtual defects can be generated and used to train AI algorithms for detection and classification. With the help of reliability assessment trained AI algorithms will be evaluated with regard to the resulting quality in defect detection and characterisation.
A particular aspect of the development of AI methods is the data fusion of different NDT data sources: Thereby, synergies are used that arise from linking eddy current and ultrasonic inspection data in a combined model.
In the course of the project a demonstrator consisting of the developed IT-tool and an asset management system will be implemented and tested in the field using real-world data.
The present work is part of the AIFRI project (Artificial Intelligence For Rail Inspection), where we and our project partners train a neural network for defect detection and classification. Our goal at BAM is to generate artificial ultrasound and eddy current training data for the A.I. This paper has an exploratory nature, where we focus on the simulation of eddy current signals for head check cracks, one of the most important rail surface defects. The goal of this paper is twofold. On the one hand, we present our general simulation setup. This includes geometric models for head check cracks with features like branching and direction change, a model for the HC10 rail testing probe, and the configuration of the Faraday simulation software.
On the other hand, we use the Faraday software to simulate eddy current testing signals with a strong focus on the influence of the damage depth on the signal, while differentiating between different crack geometries. Here, we observe an early saturation effect of the test signal at a damage depth of 2 mm (at a crack angle of 25◦ to the surface). That is about 2 mm earlier than we would expect from measurements at a crack angle of 90◦. This behavior will be investigated further in a future paper. Finally, we interpolate the simulated signals in a two-step curve fitting process. With these interpolations we may generate eddy current test signals for any damage depth within the simulated range.
Durch ein thermodynamisch konsistentes Phasenfeldmodell kann die Rißinitiierung sowie das Rißwachstum in einem spröden Material mit Hilfe der Finite-Elemente-Methode simuliert werden. Ein diskreter scharfer Riß wird durch einen Regularisierungsansatz in ein Phasenfeld überführt, das einen kontinuierlichen Übergang zwischen Riß und Restmaterial abbildet. Modelle von C(T) - Bruchmechanikproben konnten unter monoton wachsender Belastung simuliert werden. Die Ergebnisse konnten mit analytischen Ergebnissen der linear-elastischen Bruchmechanik verglichen werden. Ablenkungen des Rißpfades konnten durch Modelle von gelochten Proben simuliert werden. An dem Modell eines Dreipunktbiegeversuchs konnte die Rißinitiierung demonstriert werden. Die Kenntnis und Modellierung eines vordefinierten Rißpfades ist bei Verwendung dieses Modells nicht erforderlich, was insbesondere zur Untersuchung von komplexen Rißpfaden von Vorteil sein kann.
Structural Health Monitoring (SHM) mittels geführter Ultraschallwellen ermöglicht eine kontinuierliche Überwachung komplexer Bauteile und liefert umfangreiche Informationen über deren strukturelle Integrität. Die aufgezeichneten Signale sind jedoch komplex und werden daher zunehmend mittels KI verarbeitet, um Anomalien in der Systemintegrität automatisch zu erkennen. Eine Herausforderung dabei ist jedoch das Trainieren solcher KI-Modelle, da dafür große Mengen an Trainingsdaten inklusive diverser Schadensfälle benötigt werden, um eine hohe Genauigkeit und Zuverlässigkeit zu gewährleisten. Experimentelle Generierung dieser Daten ist wegen des enormen Zeit- und Kostenaufwands nicht möglich.
Eine Alternative hierfür bieten die numerischen Simulationen, da dadurch Trainingsdaten für beliebige Anzahl an Schadenskonfigurationen erzeugt werden können. Das Hauptproblem dabei ist jedoch die Abweichung zwischen den experimentellen und simulierten Daten (durch z.B. Abweichungen bei der Geometrie, Randbedingungen oder Materialparameter). Um diese Abweichungen zu reduzieren bzw. zu eliminieren, wird ein KI-Modell mit einer Autoencoder-Decoder Architektur vorgestellt, die mittels eines Experiments kalibriert werden kann und anschließend in der Lage ist, die Genauigkeit der Simulationsergebnisse nachträglich zu erhöhen.
Matrix phased array probes become more and more prominent to be used in industrial applications. The main drawbacks, using probes incorporating a very large number of transducer elements, are the needs for an appropriate cabling and an ultrasonic device offering many parallel channels.
Matrix arrays designed for extended functionality feature at least 64 or more elements. Typical arrangements are square matrices, e.g. 10 by 10 or 11 by 11 or rectangular matrices, e.g. 8 by 16 or 10 by 12 to fit a 128-channel phased array system. In some phased array systems, the number of simultaneous active elements is limited to a certain number, e.g. 32 or 64. Those setups do not allow to run the probe with all elements active which may cause a significant change in the directivity pattern of the resulting sound beam.
When only a subset of elements is possible to use during a single acquisition, different strategies may be applied to collect enough data for rebuilding the missing information from the echo signal. Omission of certain elements may be one approach, overlay of subsequent shots with different active areas may be another one.
This paper presents the influence of decreased number of active elements on the sound field and their distribution on the array. An example for 16 active elements out of 121 is given in Figure 1. The sound field divergence and its shape basically remain the same, while the sensitivity is reduced and the amplitudes of the speckle-like side lobes increase significantly.
Solutions using subsets with different element activity patterns on matrix arrays and their advantages and disadvantages concerning the sound field are evaluated using semi-analytic simulation tools. Sound field criteria regarding the consequences for NDT test results and the system setup are discussed.
To simulate a full fire engulfment during transportation or storage a closed removable head steel drum filled with 200 l Di-tert-butyl peroxide (DTBP) is subjected to a wood fire. Due to the enormous heat flux and the exothermic self-decomposition large flames arise and finally multiple fireballs occur. The fireballs consume up to 20 % of the total mass (20 % equals to 31 kg). They are characterized by high surface emissive power and large flames associated with high thermal radiation causing spontaneous ignition of objects in the surrounding. The measured sizes of the DTBP fireballs are smaller compared to the results of the general equations for hydrocarbon fireballs. Because these equations are recommended by the Health and Safety Executive (UK) to be applicable for organic peroxides explicit comparisons of DTBP with LPG, diesel and gasoline concerning the characteristics of fireballs are carried out. Also the burning time is compared and confirms a faster combustion of the peroxide. Moreover, the development of size and emissive power for DTBP and diesel fireballs are compared in a normalized graph. The results provide the assumption that new empirical models are required to be developed for hazard assessment of organic peroxide fireballs.
Modelling becomes more and more important in modern NDE. It is increasingly used to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes. To describe the complete chain of RT, the model includes simulating all necessary properties of X- or Gamma-ray sources, the interaction of photons with material with special attention to scattered radiation, the detection process, and the complete geometrical RT setup handling arbitrary parts or constructions. Depending on the given inspection problem and the influencing factors that should be addressed by the simulation, an appropriate physical model has to be chosen to describe the underlying interaction mechanisms. The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport such that transmission as well as scatter techniques can be modelled. In this contribution we focus on Monte Carlo simulation of scatter contribution within aRTist. Examples for RT/tomographic applications and back-scatter techniques are presented to demonstrate the usability of the presented simulation tool for a broad range of radiological applications.
A model is presented that employs a unified approach for
simulating the photon energy spectra for transmission and direct
beam targets composed of arbitrary homogeneous materials. In order
to achieve this, a detailed model of electron transport within the
target is employed. The validity of the developed model is shown
through comparisons with Monte Carlo simulations as well as
measurements for a number of different configurations.
Industrial radiography or Radiographic Testing (RT) is a method of non-destructive testing where many types of manufactured components can be examined to verify the internal structure and integrity of the specimen. The computer program aRTist can generate synthetic radiographs from a virtual RT test set-up. In the field of industrial radiology simulation is used, e.g. to optimize techniques for complex applications, to support the preparation of written procedures, and for education purposes.
The simulator aRTist combines analytical and Monte Carlo methods to efficiently model the radiation transport. The program comes with a graphical user interface written in Tcl/Tk. In combination of Tcl/Tk and the 3D capabilities of the visualization toolkit (VTK) a practical and convenient simulator has been realized. This will be illustrated by discussing application scenarios of classical radiography, X-ray computer tomography, and X-ray backscatter imaging. Additionally, some insight to the software implementation of the simulator will be given.
Virtual CT acquisition and reconstruction of complex and noisy scanning trajectories in aRTist
(2019)
In modern CT imaging, simulation has become an important tool to minimize cost- and time-intensive measurements. It is increasingly used to optimize techniques for complex applications, to support the preparation of written procedures, and for educational purposes. We extended the CT simulation software ‘aRTist’ with a module to set-up arbitrary trajectories including disturbing influences during the scan. Moreover, such geometric deviations can be compensated by the internal reconstruction tool.