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- Gefahrgut (29)
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Organisationseinheit der BAM
- 8 Zerstörungsfreie Prüfung (63)
- 7 Bauwerkssicherheit (46)
- 3 Gefahrgutumschließungen; Energiespeicher (38)
- 3.1 Sicherheit von Gefahrgutverpackungen und Batterien (27)
- 8.2 Zerstörungsfreie Prüfmethoden für das Bauwesen (26)
- 2 Prozess- und Anlagensicherheit (23)
- 8.1 Sensorik, mess- und prüftechnische Verfahren (19)
- 8.6 Faseroptische Sensorik (19)
- 7.5 Technische Eigenschaften von Polymerwerkstoffen (18)
- 2.1 Sicherheit von Energieträgern (16)
Das Schienennetz der DB und anderer Bahngesellschaften wird regelmäßig mit Schienenprüfzügen inspiziert. Die mit den Prüfzügen aufgenommenen Messdaten werden offline zu einem späteren Zeitpunkt ausgewertet. Um Prüfbefunde manuell nachprüfen und ggf. Reparaturmaßnahmen einleiten zu können, ist eine möglichst exakte Zuordnung der Befunde zum Prüfort notwendig.
Theoretisch ist jeder Ort des Schienennetzes durch Streckennummer, Richtungskennzahl und Kilometrierung exakt beschrieben. In der Praxis treten jedoch bei der Zuordnung diverse Probleme auf: Die Kilometrierung wird während der Prüfung manuell erfasst, indem die Beschriftung der Kilometer- bzw. Hektometertafeln in das Prüfsystem eingegeben und deren Position beim Vorbeifahren per Tastendruck in die Messdaten „eingeblitzt“ wird. Die Hektometertafeln stehen jedoch nicht an der aufgedruckten Position, sondern sind am nächstgelegenen Mast montiert. Dagegen ist die Ungenauigkeit des manuellen „Einblitzens“ vernachlässigbar. Außerdem ist die Kilometrierung nicht immer eindeutig, da nach Umbaumaßnahmen Kilometersprünge (sowohl fehlende als auch doppelte Kilometer) auftreten können.
Abhilfe verspricht der Einsatz des satellitengestützten GPS, vorausgesetzt, die Strecken sind exakt vermessen. Um eine ausreichende Positionsgenauigkeit auch bei schlechten Empfangsbedingungen zu erreichen, ist jedoch ein erheblicher Aufwand notwendig. Die Positionsgenauigkeit eines Standard-GPS-Empfängers genügt hier nicht.
Es wird ein Verortungssystem hoher Positionsgenauigkeit auf der Basis des GPS vorgestellt, das sich derzeit in der Erprobung befindet.
One-part-geopolymers, produced by addition of water to a mixture of solid silica and sodium alumi-nate, are a less exhaustively studied approach to form geopolymeric binders. Depending on the silica source, the reaction products show significant amounts of zeolite Na-A besides amorphous compounds. Previously, 29Si MAS NMR has been used to analyze the chemical structure of such one-part geopolymers, having crystalline structures and amorphous phases (Q2, Q3, Q4).
In this work, pure zeolites and three different one-part-geopolymers cured for 1 day were investigated by 29Si-27Al TRAPDOR NMR. It was used to identify aluminum phases in overlapping silicon sites. Zeolites Na-X (Si/Al=1.4) and Na-Y (Si/Al=2.7) served as model systems to measure the TRAPDOR effect of the structural units Q4(mAl). Both materials show several Q4(mAl) signals, which are all separated by their chemical shifts. The more aluminum surrounds the silicon tetrahedron the higher are the normalized TRAPDOR difference signals (S0/∆S). The intensity ratios between Q4(mAl) to Q4({m-1}Al) of these signals is fixed but vary slightly between both zeolites. These results are transferred to the complex geopolymer structure.
A comparison between the results obtained from a Computational Fluid Dynamic (CFD) simulation and from the application of an empirical formula for determining the temperature distribution inside a tunnel in case of fire is presented. The temperature is measured and calculated at different distances from the location of the fire and at different time intervals. The fire considered varies with time following a time-heat release rate curve which has a parabolic growing phase, a constant period and a linear decay. The comparison reveals differences in the results. The temperatures calculated with the empirical formula resulted higher than the temperatures obtained by means of the CFD simulation. A list of possible reasons for this limited correspondence is also presented and commented. A proposal for further studies to better define the limitations of both the procedures and to define the influence of each parameter involved is finally presented.
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.
The residual post-fire mechanical properties of fiber-reinforced epoxy composites are influenced by their fire residues after burning. This study uses intumescent/low-melting glass flame retardants to tailor fire residues in epoxy resin. Processibility of prepregs and their quality are analysed for transfer of the flame-retardant epoxy resins to layered glass-fiber reinforced composites. Minimal effects were found on the pre-fire flexural strengths of the composites due to low loading of the flame retardants. However, when transferred to glass-fiber reinforced composites, the fire residues diminish significantly. Further studies are required to improve theoretical and experimental estimations of the post-fire mechanics of the composites.
Additive manufacturing (3D printing) of ceramics and other materials offers significant advantages compared to conventional production processes for several applications. While ceramics have been extensively investigated in this regard, additive manufacturing of geopolymers have received much less attention to date. In the present contribution we study a ‘standard’ metakaolin-based geopolymer, a fly ash-based geopolymer and a silica-based one-part geopolymer regarding their suitability for additive manufacturing via selective laser curing. Model geometries such as bars and cuboids could be produced by this route. After selective laser curing the specimens were additionally cured at 80 °C for 24 h. The specimens were studied by means of scanning electron microscopy (SEM) and powder X-ray diffraction (XRD). SEM showed that the precursors in all geopolymers had reacted partially and geopolymeric gel had formed. XRD confirmed these results and additionally revealed that the crystalline byproducts (zeolites) in the one-part geopolymer differed from the byproducts observed in conventionally produced samples. This indicates that also the geopolymerization reactions differ between the two synthesis routes. The mechanical strength after selective laser curing and 80 °C-curing appeared to be highest for the metakaolin-based geopolymer. However, SEM also showed that a significant volume of macropores remained in most regions of all specimens, while some regions in the metakaolin-based geopolymer appeared to be significantly denser. These preliminary results demonstrate that selective laser curing offers potential for the production of geopolymers, but more research has to be undertaken to optimize the process.