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Die zerstörungsfreie Prüfung von Eisenbahnschienen auf betriebsbedingte Schädigungen wird mit Schienenprüfzügen mittels Ultraschall- und Wirbelstromprüfverfahren durchgeführt [1]. Die Auswertung der Prüfdaten erfolgt überwiegend manuell, die eingesetzte Software unterstützt die Auswertenden lediglich durch eine Vorauswahl relevanter Anzeigen. Die Überprüfung der Ergebnisse erfolgt anschließend vor Ort mittels handgeführter Prüfgeräte. Instandhaltungsmaßnahmen werden auf Basis der Befundung vor Ort abgeleitet.
Ziel des durch das Bundesministerium für Digitales und Verkehr (BMDV) im Rahmen von mFUND unter dem Förderkennzeichen 19FS2014 geförderten Vorhabens AIFRI (Artificial Intelligence For Rail Inspection) ist es, durch den Einsatz von KI-Methoden den Automatisierungsgrad des Prüfprozesses von der Auswertung der Daten bis hin zur Planung von Instandhaltungsmaßnahmen zu erhöhen. Die Genauigkeit der Fehlerdetektion soll gesteigert werden, um eine automatisierte Einstufung der aufgefundenen Anzeigen in Risikoklassen zu ermöglichen. Hierfür werden Daten sowohl von Wirbelstromprüfungen als auch Ultraschallprüfungen verwendet.
Im Rahmen des IT-orientierten Projektes werden relevante Schienenschädigungen und in der Schiene vorhandene Artefakte analysiert und in einen parametrierbaren digitalen Zwilling übertragen. Mit diesem digitalen Zwilling werden virtuelle Schädigungsbilder generiert, mit denen KI-Algorithmen auf die Defekterkennung und -klassifizierung trainiert werden. Insbesondere werden hierbei Synergien genutzt, die durch die Verknüpfung von Daten der Wirbelstrom- und Ultraschallprüfung bei einer gemeinsamen Bewertung entstehen. Mit Hilfe von Zuverlässigkeitsbetrachtungen werden die entwickelten und trainierten Algorithmen hinsichtlich der Detektion und Charakterisierung von Schienenschädigungen bewertet.
Im Verlauf des Projektes soll mit dem entwickelten IT-Werkzeug ein Demonstrator aufgebaut und im Feld mit realen Datensätzen getestet werden
The changes in the use and maintenance of track systems poses new challenges for the periodic mechanized in-service testing of rails using ultrasound and eddy current. The methods currently applied have been used since decades with only minor changes. To face the new challenges generated by modern drive systems, higher speeds, heavier loads adapted techniques have to be developed to detect new defect types and artefacts generated by new production methods. Especially the area where rolling contact fatigue takes place is under focus.
Going beyond the standard conventional ultrasound setups used since the 1950 enables a more detailed detection and classification of rail defects and size estimation. Eddy current methods are applied for surface crack detection and head check depth quantification at the gauge corner of railway tracks. An extension of the tested zone to the running surface uncloses rail defect signal types other than head checks to be detected and estimated in type and size.
For the automated evaluation of the recorded data algorithms based on artificial intelligence being trained based on simulation will be applied. Typically, the testing parameter vary depending on the track condition and the probe wear. To identify variables and parameters which have a significant influence on the overall performance of the test run modelling of the setup can be used.
Actual developments will be presented in this talk
Die mechanisierte zerstörungsfreie Prüfung von Eisenbahnschienen auf betriebsbedingte Schädigungen wird mit Schienenprüfzügen mittels Ultraschall- und Wirbelstromprüfverfahren durchgeführt. Die Auswertung der Prüfdaten erfolgt durch Auswerter, die Überprüfung der Ergebnisse erfolgt am identifizierten Schienensegment vor Ort mittels handgeführter Prüfgeräte. Instandhaltungsmaßnahmen werden anschließend auf Basis der Befundung der zerstörungsfreien Prüfung abgeleitet. Im Rahmen eines vom BMVI geförderten Verbundvorhabens im Programm „Digitale, datenbasierte Innovationen und Ideen für die Mobilität 4.0“ (mFUND) soll dieses Konzept modernisiert und weiterentwickelt werden.
Ziele des Vorhabens AIFRI (Artificial Intelligence For Rail Inspection) sind es, durch den Einsatz von KI-Methoden den Automatisierungsgrad des Prüfprozesses zu erweitern, die Genauigkeit der Fehlerdetektion zu erhöhen und eine automatisierte Einstufung der aufgefundenen Anzeigen in Risikoklassen zu ermöglichen. Weiterhin wird auf dieser Basis ein risikobasiertes Instandhaltungskonzept erarbeitet, welches zukünftig das bisherige präventive Vorgehen ablösen kann.
Im Rahmen des IT-orientierten Projektes werden relevante Schienenschädigungen und in der Schiene vorhandene Artefakte analysiert und in skalierbare Modelle übertragen. Mit diesen Modellen werden virtuelle Schädigungsbilder generiert, mit denen KI-Algorithmen auf die Defekterkennung und -klassifizierung trainiert werden. Mit Hilfe von Zuverlässigkeitsbetrachtungen werden die entwickelten und trainierten Algorithmen hinsichtlich der Detektion und Charakterisierung von Schienenschädigungen bewertet.
Im Verlauf des Projektes wird mit dem entwickelten IT-Werkzeug ein Demonstrator aufgebaut und im Feld mit realen Datensätzen getestet.
Das Projekt wird durch das Bundesministerium für Verkehr und digitale Infrastruktur (BMVI) im Rahmen von mFund unter dem Förderkennzeichen 19FS2014 gefördert.
Extrusion based 3D concrete printing (3DCP) is a growing technology because of its high potential for automating construction and the new possibilities of design. In conventional construction methods, a sample is taken to be representative for one material batch. However, in 3DCP continuous mixing is used which results in variations during the mixing process. Therefore, one sample is not representative for the entire structure. This leads to the necessity of continuous and real-time process monitoring.
This study focuses on the variations of pressure and temperature which are caused by changes in the material due to the ongoing mixing process. Changes in material, which is transported downstream, are influencing sensor signals in different positions with a time delay. In the following, the data is analysed to investigate if the changing material and the so caused change in pressure can be used to calculate volume flow.
Extrusion based 3D concrete printing (3DCP) is a growing technology because of its high potential for automating construction and the new possibilities of design. In conventional construction methods, a sample is taken to be representative for one material batch. However, in 3DCP continuous mixing is used which results in variations during the mixing process. Therefore, one sample is not representative for the entire structure. This leads to the necessity of continuous and real-time process monitoring.
This study focuses on the variations of pressure and temperature which are caused by changes in the material due to the ongoing mixing process. Changes in material, which is transported downstream, are influencing sensor signals in different positions with a time delay. In the following, the data is analysed to investigate if the changing material and the so caused change in pressure can be used to calculate volume flow.
Implementation and validation of robot-enabled embedded sensors for structural health monitoring
(2024)
In the past decades, structural health monitoring (SHM) has matured into a viable supplement to regular inspections, facilitating the execution of repair and maintenance work in the early stages of structural damage. With the advent of wireless technologies and advancements in information and communication technologies, civil infrastructure has been increasingly instrumented with wireless sensor nodes to record, analyze, and communicate data relevant to SHM. A promising method for SHM is to embed sensors directly into concrete for recording SHM data from inside structural elements. In this paper, a sensor system for embedment into concrete is proposed, able to assess SHM data recorded from concrete. Power is supplied to the sensors on-demand by quadruped robots, which also collect the SHM data via radio-frequency identification (RFID), providing an automated and efficient SHM process. In laboratory experiments, the capability of the sensor system of automatically collecting the SHM data using quadruped robots is validated. In summary, the integration of RFID technology and robot-based inspection presented in this study demonstrates a vital approach to evolve current SHM practices towards more digitalized and automated SHM.
Many laboratories have been working about Active Thermography
as a Non Destructive Testing method for many
years. This method can be applied on metallic or composites
materials for surface or subsurface defects. Thus, many
different configurations can be encountered to measure the
heat distribution and generate heat flow into the part. Signal
processing is also widely used to improve the performance
of detection.
After encouraging results, aerospace, automotive and energy
industries are now involved into industrialization of the
technology to apply it for production or maintenance applications.
Good practices and common wording are often
required by end-user to qualify the process.
Since the beginning of the 2000s, a working group was
founded within CEN/TC138 'Non-destructive Testing' to define standards in thermography, in the European Committee
for Standardization (CEN). Some other actors have also produced
standards (ISO, IEC, ASTM...).
This paper aims to list the standards currently available about
thermography and the associatd vocabulary. It describes
the generic terms to be used in active and passive thermography
(operating modes, reference blocks, reporting…) and
also more specific elements about laser and induction thermography
for example.
It will also put in perspective the further works to be done
in the next few years to take into account the new trends in
active thermography and how to qualify for industrial applications.
Robotic-assisted 3D scanning and laser thermography for crack inspection on complex components
(2024)
The integration of automation and robotics into inspection processes has marked a transformative shift in the evaluation of complex components. This study presents a novel approach employing robotic-assisted laser thermography for the automated identification and in-depth analysis of cracks in these intricate structures. This method not only streamlines the inspection process but also eliminates the need for numerous manual steps and the use of chemicals associated with traditional methods such as dye penetrant testing. With the increasing com-plexity of components, this is an important step, especially with regard to additively manufactured components, in order to be able to guarantee component safety for a long lifecycle.
Many laboratories have been working about Active Thermography as a Non Destructive Testing method for many years. This method can be applied on metallic or composites materials for surface or subsurface defects. Thus, many different configurations can be encountered to measure the heat distribution and generate heat flow into the part. Signal processing is also widely used to improve the performance of detection. After encouraging results, aerospace, automotive and energy industries are now involved into industrialization of the technology to apply it for production or maintenance applications. Good practices and common wording are often required by end-user to qualify the process. Since the beginning of the 2000s, European Committee for Standardization (CEN) has launched a Working Group within CEN/TC138 to define standards in thermography. Some other actors have also produced standards (ISO, IEC, ASTM,..). This goal of this presentation is to present a status of the standard currently available about thermography and the associated vocabulary. It describes the generic terms to be used in active and passive thermography (operating modes, reference blocks, reporting,…) and also more specific elements about laser and induction thermography for example. It will also put in perspective the further works to be done in the next few years to take into account the new trends in active thermography and how to qualify for industrial applications.
Performance Prediction of Anchors in SFRC using Minimally Invasive and Non‐Destructive Techniques
(2023)
AbstractFastenings are crucial for the upgrade of existing structures, by either enhancing structural components or modernising and expanding structures and structural systems. Whilst concrete is prevailing in the existing building stock, new types of concrete composites are increasingly used to improve the sustainability and overall structural performance of built assets. The addition of short dispersed fibres is a material technology with several applications. This paper addresses the synergy of fastening elements, introducing localised loads in concrete substrates, and of fibres, particularly in terms of the fibre orientation and density in the load application area, which is a significant quality aspect. The possibility to forecast this synergy based on non‐destructive or minimally invasive testing methods is an efficient tool to increase confidence in the design load‐bearing performance of the anchorages. Initially, previous literature and own investigations on such techniques are presented. Furthermore, a methodology is presented on associating such information to predict a single anchor's resistance on the basis of sophisticated non‐linear analyses and testing with engineered fibres alignments.