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High quality tubular products are essential to the oil and gas industry. Quality control during their production focuses on the non-destructive detection of surface defects. The structured light technique is a candidate for the challenge to detect, monitor and evaluate such defects in real-time.
In the present study the automatic processing of structured light measurements is performed and validated. The algorithm for the automatic Analysis of inspection data has an advantage over current data evaluation methods based on individual assessments of operators.
Due to the high damping mechanical properties of fiberboard materials, corrugated fiberboard boxes are widely used as transport packagings of dangerous goods. Since there is risk of vertical impact within the distribution system, drop tests are performed as design type tests to assess a package’s ability to withstand damage. In this context, however, little is known regarding the transient mechanical response of a filled fiberboard box. The reason is that the nature of the packaging material presents challenges in identifying the deformation mechanisms experimentally. The aim of this work is to provide a framework for predicting the damage resistance of complete, filled corrugated fiberboard boxes which are ready for transportation. Therein, drop test finite-element simulations are used and validated by experimental results. These numerical calculation models are a valuable tool for virtual product development and contribute to the optimization of the design cycle.
To examine the capability to detect and localise damage using the Measurement- and Model-based Structural Analysis (MeMoS), a small-scale truss bridge (1520 mm × 720 mm × 720 mm) made of aluminium profiles is built as a test specimen for this purpose. The truss frame of the test bridge is made of aluminium profiles with a sophisticated design of the cross-sectional area. In comparison, with solid profiles, only a fraction of the material is needed to produce the profiles, while their bending resistance decreases slightly. The profiles are built into a truss frame by connecting them by means of fastening sets made of steel. The bridge model is mounted on four steel bearings which each of them consist of a cylinder arranged between two plates. Fixed bearings are made by holding onto one end of the bridge. The bridge is subjected by an external load by placing a heavy object beneath it. At the same time, measurements can be conducted below the bridge. Therefore, the bridge specimen is elevated by attaching it on a pedestal with four columns. Damages can be induced by loosening the fastening pieces.
Using digital twins for decision making is a very promising concept which combines simulation models with corresponding experimental sensor data in order to support maintenance decisions or to investigate the reliability. The quality of the prognosis strongly depends on both the data quality and the quality of the digital twin. The latter comprises both the modeling assumptions as well as the correct parameters of these models. This article discusses the challenges when applying this concept to realmeasurement data for a demonstrator bridge in the lab, including the data management, the iterative development of the simulation model as well as the identification/updating procedure using Bayesian inference with a potentially large number of parameters. The investigated scenarios include both the iterative identification of the structural model parameters as well as scenarios related to a damage identification. In addition, the article aims at providing all models and data in a reproducibleway such that other researcher can use this setup to validate their methodologies.
Bending beams and slabs are typical examples for structural elements used for reinforced concrete structures such as bridge girders, T-beams and bridge decks. Their strength related failure modes at maximum loading can be divided into bending and shear failure. The failure of beams loaded in bending can occur with or without indication. Therefore, conventional design concepts aim on failure modes with sufficient indication (e.g. large deflections or cracks), as it occurs in the case of secondary flexural compression failure. These indicating factors can also be used for Structural Health Monitoring (SHM) of civil infrastructure systems (e.g. bridges) to identify structural changes. In this context, non-destructive testing (NDT) methods offer different techniques for measuring deflections or crack formation and opening. However, profound knowledge on the determining failure modes of bending beams and their detection by NDT methods is required for the reliable application of SHM. Different NDT methods have been used in this study for analysing the load-bearing behaviour of a reinforced concrete beam in bending. The different measuring techniques are briefly described and their applicability is discussed by means of experimental results. For this purpose, the load-bearing behaviour of a reinforced concrete beam having a span of 2.75 m was investigated in a four-point bending flexural test at laboratory scale. The focus is on the characterization of determining failure modes by optical NDT and the comparison with classical measuring techniques (e.g. deformation measurements by displacement transducers). The bending beam was equipped with two single-mode (SM) sensor fibres. One fibre served as Distributed Optical Fibre Sensor (DOFS), whereas the other fibre contained Fibre Bragg Grating (FBG) sensors. In addition, optical deformation measurements using Digital Image Correlation (DIC) and Stereophotogrammetry (SP) were conducted.
Numerical models built as virtual-twins of a real structure (digital-twins) are considered the future ofmonitoring systems. Their setup requires the estimation of unknown parameters, which are not directly measurable. Stochastic model identification is then essential, which can be computationally costly and even unfeasible when it comes to real applications. Efficient surrogate models, such as reduced-order method, can be used to overcome this limitation and provide real time model identification. Since their numerical accuracy influences the identification process, the optimal surrogate not only has to be computationally efficient, but also accurate with respect to the identified parameters. This work aims at automatically controlling the Proper Generalized Decomposition (PGD) surrogate’s numerical accuracy for parameter identification. For this purpose, a sequence of Bayesian model identification problems, in which the surrogate’s accuracy is iteratively increased, is solved with a variational Bayesian inference procedure. The effect of the numerical accuracy on the resulting posteriors probability density functions is analyzed through two metrics, the Bayes Factor (BF) and a criterion based on the Kullback-Leibler (KL) divergence. The approach is demonstrated by a simple test example and by two structural problems. The latter aims to identify spatially distributed damage, modeled with a PGD surrogate extended for log-normal random fields, in two different structures: a truss with synthetic data and a small, reinforced bridge with real measurement data. For all examples, the evolution of the KL-based and BF criteria for increased accuracy is shown and their convergence indicates when model refinement no longer affects the identification results.
Der Beitrag konzentriert sich auf bildgebende Messverfahren, die der dreidimensionalen Bestimmung mechanischer, geometrischer und kinematischer Parameter von Materialien und Bauteilen dienen. Das sind hier insbesondere die Mehrbildfotogrammetrie sowie die Stereomessverfahren, die auf folgenden physikalisch-optischen Grundlagen beruhen: die zeit- und raumveränderliche Projektion von Lichtstreifensystemen, die Bildkorrelation mittels Grauwertmustern und die Verfolgung kontrastreich applizierter Punkttargets. Letztendlich werden aus den gemessenen Punktkoordinaten unterschiedlicher Dichte und Belastungszustände die gewünschten 3D-Parameter abgeleitet. Hierzu gehören z. B. die Oberflächengestalt und deren Verformung, approximierte 3D-Geometrielemente, veränderliche 6DoF-Starrkörperorientierungen, Vektorverschiebungsfelder, Oberflächendehnung, Koordinaten-Zeit-Funktionen, Geschwindigkeit und Beschleunigung. Diese Kenngrößen sind beispielsweise für die Ermittlung mechanischer Werkstoffeigenschaften und -kennwerte bis hin zur Form- und Verformungsmessung von Bauteilen in gezielt quasi-statisch oder dynamisch beanspruchenden Prüfeinrichtungen wichtig. Vorteilhaft für die praktische Anwendung dieser Verfahren ist insbesondere, dass sie berührungslos arbeiten, kombiniert werden können und skalierbar sind z. B. hinsichtlich Messvolumen, Auflösung, Genauigkeit und Koordinatensystemen der zu bestimmenden 3D-Punktkoordinaten an Materialoberflächen bzw. Komponenten.
Ausgehend von der Beschreibung der messtechnischen Prinzipien dieser Verfahren sollen zwei Anwendungsbeispiele aus dem Bereich der Gefahrgutbehäl-terprüfung im Rahmen von Bauartzulassungen und der normungsbegleitenden Mate-rialforschung den Stand in der Anwendungspraxis aufzeigen und einen Eindruck hinsichtlich der flexiblen Einsatzmöglichkeiten dieser optischen 3D-Verfahren verdeutlichen.
The performance of shock absorbers has been tested in specific regulatory drop tests onto an unyielding target at the BAM drop test facility. Optical surface digitisation methods have been used to measure, analyse and evaluate permanent deformations of shock absorbers more systematically. The measurement principle of the used fringe projection technique and its technical application to shock absorber investigations is explained in detail. Furthermore, examples of shock absorber testing results as well as final data visualisation are given in the present paper.
The performance of shock absorbers has been tested in specific regulatory drop tests onto an un-yielding target at the BAM drop test facility. Optical surface digitization methods have been used to measure, analyze and evaluate permanent deformations of shock absorbers more systemati-cally. The measurement principle of the fringe projection technique used and its technical appli-cation to shock absorber research is explained in detail in this paper. Furthermore, examples of shock absorber testing results as well as final data visualization are presented.
Ein stereo-fotogrammetrisches Messverfahren wurde zur quantitativen Analyse der Bewegungssignale eines elektrischen Multi-Sensorsystems eingesetzt. Der Vergleich von Weg- und Winkel-Zeitverläufen zeigte bereits eine recht gute Übereinstimmung, verdeutlichte jedoch auch die Notwendigkeit einer weiterzuentwickelnden Kalibriermethodik. Die Stereo-Videogrammetrie hat sich als Referenzverfahren zur Analyse und Validierung dreidimensional ausgelegter elektrischer Bewegungssensorik für den Nahbereich bewährt.