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The Berlin Congress Hall was a gift of the United States of America to Germany for the Berlin World Exhibition in 1957. The elegantly double-curved roof was made from an advanced prestressed concrete construction. The construction followed the design by the American architect Hugh Stubbins with special structural modifications to comply with German construction rules. No early indications for failure initiation were detected before a sudden partial collapse. On May 21st, 1980, the Southern external roof overhang collapsed. In December 1980, Jörg Schlaich and his co-authors published a summarizing expert opinion about structural causes of failure. The present paper mainly introduces results of cause analysis made at the Federal Institute for Materials Research and Testing (BAM), mandated by the Public Prosecutor at the Berlin District Court to specify the causes of the sudden failure. This paper refers to BAM-publications about analyses that were performed under this mandate and published – most of them in German language – within the first years after failure. The expert's opinions comprise structural considerations materials investigations, metallographic analyses and corrosion. Nowadays experts have learnt from the failure and built a slightly modified roof in the original shape at the 750th birthday of the city of Berlin and re-opened the former Berlin Congress Hall to the public on May 9th, 1987. The Hall is now serving as the House of the Cultures of the World, following the initial intention of the hall.
To meet the increasing fabrication quality standards and the high throughput requirements NDE techniques are reliant on efficient reconstruction tools and visualization tools. In this work we present an inverse algorithm for a modern electromagnetic non-destructive testing approach using a small GMR sensor array to inspect superconducting wires. Four sensitive GMR sensors are positioned around the wire. Small defects of 100 µm in size could be detected in a depth of 200 µm with a signal-to-noise ratio of better than 400. Surface defects could be detected with a SNR of up to 10,000. This remarkably SNR and the small extent of GMR sensors results in a spatial resolution which offers new visualisation techniques for defect localisation, defect characterization and future tomography-like mapping techniques. We developed several inverse algorithms based on either a Finite Element Method or an analytical approach leading to defect localization with an accuracy of a few 10 µm.
Aufgrund eines anhaltenden Trends der Miniaturisierung von Bauteilen sowie eines gesteigerten Qualitätsanspruches in Fertigung und Instandhaltung besteht ein wachsender Bedarf für hochauflösende zerstörungsfreie Prüfverfahren. Ein derzeit vielversprechender Lösungsansatz in der elektromagnetischen Prüfung wird durch die magnetischen Mikrosysteme eröffnet. Insbesondere die jüngst mit dem Physik-Nobelpreis ausgezeichnete GMR-Technologie bietet neben einer hohen Feldempfindlichkeit zugleich hervorragende Ortsauflösungen mit Schichtabmessungen bis in den unteren µm-Bereich. Hierdurch werden magnetische Feldverteilungen bei der Wirbelstromprüfung oder der Streuflussprüfung mit einem gegenüber Spulensystemen erhöhten Signal/Rausch-Verhältnis (SNR) und einer verbesserten Ortsauflösung gemessen. Im vorliegenden Beitrag wird das Potenzial der MR-Technologie anhand der Wirbelstromprüfung von Drähten verdeutlicht. Hierbei wird ein kreuzförmiges GMR-Sensor-Array um den zu untersuchenden Draht positioniert. Jeder einzelne GMR-Sensor misst dabei mit einer Feldempfindlichkeit von etwa 200pT/√Hz und einer Ortsauflösung von 100µm. Der Nachweis von im Durchmesser etwa 200µm großen Defekten in einer Tiefenlage von 200µm unterhalb der Drahtoberfläche gelingt mit einem SNR von über 400. Oberflächendefekte ähnlicher Größenordnung können mit einem SNR von nahezu 104 detektiert werden. Ein derart hohes SNR birgt in Kombination mit der hohen örtlichen Auflösung Potenzial für eine 3D-Fehlerlokalisierung. Unter Verwendung eines analytischen Ansatzes sowie auf FEM beruhende Dateninversionsalgorithmen können Defekte mit einer Abmessung von größer 200µm auf einige 10µm exakt lokalisiert werden.
A strategy to mitigate typical reconstruction artefacts in missing wedge computed tomography is presented. These artefacts appear as elongations of reconstructed details along the mean direction (i.e. the symmetry centre of the projections). Although absent in standard computed tomography applications, they are most prominent in advanced electron tomography and also in special topics of X-ray and Neutron tomography under restricted geometric boundary conditions. We investigate the Performance of the DIRECTT (Direct Iterative Reconstruction of Computed Tomography Trajectories) algorithm to reduce the directional artefacts in standard procedures. In order to be sensitive to the anisotropic nature of missing wedge artefacts, we investigate isotropic substructures of metal foam as well as circular disc models. Comparison is drawn to filtered backprojection and algebraic techniques. Reference is made to reconstructions of complete data sets. For the purpose of assessing the reconstruction Quality, Fourier transforms are employed to visualize the missing wedge directly. Deficient reconstructions of disc models are evaluated by a length-weighted boundary orientations. The DIRECTT results are assessd at different signal-to-noise ratios by means of local and integral evaluation Parameters.
The paper presents a numerical method to detect and characterise defects and inhomogeneities by means of active thermography. The objective was to determine the wall thickness of structure elements with an inaccessible back wall, e.g., elements of pipes or containers. As test specimens we used PVC samples with the thickness of about 2 cm that had spatial variations in the back wall geometry. Flash lamps provided the heating. To measure the thickness of the wall, we employed the LevenbergMarquardt method, which we applied here to experimental thermographic data for non-destructive testing. We started the inversion procedure by making a rough first estimation of the back wall geometry following the echo defect shape method, and then we calculated the thickness of the back wall. We found reasonable reconstruction results which differed from the real value significantly below 1 mm at the defect centre, whereas the error wais increased at the edge of the defect, depending on its shape and depth.