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Paper des Monats
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There is no applicable existing standard for the determination of safety characteristics for hybrid mixtures. While developing a new standard in a joint research project in Germany first results from parameter studies led to a standard procedure that can be adopted by laboratories that are already testing dusts in the so called 20L-sphere with as little additional effort as necessary. In fact, one of the main objectives of this research project was to keep modifications and adjustments from the generally accepted dust testing procedures as easy and minimal as possible so as to limit potential deviations from one laboratory to another.
In this first round robin test on hybrid mixtures ever, with methane as gas component and a specific corn starch as dust sample, the practicality of the whole procedure, the scattering of the results and the deviation between the testing apparatuses is investigated. This paper summarizes the experimental procedure adopted and objectives of the first round-robin phase involving three of the four original German companies, plus volunteering laboratories from Australia, Belgium, Czech Republic, France, Poland and P.R. China. The results will have an impact on the new standard and may lead to robust data for later simulation purposes.
2015 Tianjin explosions
(2016)
In 2015 a series of explosions occurred at a container storage station at the Port of Tianjin, China, on Wednesday, 12 August 2015, that killed over one hundred people and injured hundreds of firemen and others. The first two explosions happened within 30 seconds of each other at the facility. The second explosion was larger and involved the detonation of about 800 tons of ammonium nitrate. The cause of the explosions was not known at first, but an investigation of the Chinese authorities concluded in February 2016 that an overheated container of dry nitrocellulose was the cause of the initial explosion. Colleagues of the Nanjing University of Science and Technology and BAM worked together to analyze the reasons and the process of that incident based on knowledge about the properties of the involved substances, particularly ammonium nitrate and nitrocellulose, and potential mechanism of initiation and propagation.
2015 Tianjin Explosions
(2016)
In 2015 a series of explosions occurred at a container storage station at the Port of Tianjin, China, on Wednesday, 12 August 2015, that killed over one hundred people and injured hundreds of firemen and others. The first two explosions happened within 30 seconds of each other at the facility. The second explosion was larger and involved the detonation of about 800 tons of ammonium nitrate. The cause of the explosions was not known at first, but an investigation of the Chinese authorities concluded in February 2016 that an overheated container of dry nitrocellulose was the cause of the initial explosion. Colleagues of the Nanjing University of Science and Technology and BAM worked together to analyze the reasons and the process of that incident based on knowledge about the properties of the involved substances, particularly ammonium nitrate and nitrocellulose, and potential mechanism of initiation and propagation.
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.
The influence of starting materials and synthesis route on the properties and the structure of cementitious sodium aluminosilicate gels is not fully understood, partly due their amorphous nature and the fact that they often contain residual reactants, which can make the results of single-pulse NMR spectroscopy applied to these materials difficult to interpret or ambiguous. To overcome some of these limitations, 29Si{27Al} TRAPDOR NMR as well as 27Al{29Si} and 27Al{1H} REDOR NMR spectroscopy were applied to materials synthesized by the one-part alkali-activation route from three different amorphous silica starting materials, including rice husk ash. The latter led to formation of a fully amorphous sodium aluminosilicate gel (geopolymer), while the materials produced from the other silicas contained amorphous phase and crystalline zeolites. Application of the double-resonance NMR methods allowed to identify hydrous alumina gel domains in the rice husk ash-based material as well as significantly differing amounts of residual silica in the three cured materials. Four-coordinated Al existed not only in the aluminosilicate gel framework but also in a water-rich chemical environment with only a small amount of Si in proximity, likely in the alumina gel or possibly present as extra-framework Al in the aluminosilicate gel. The results demonstrate how the employment of different silica starting materials determines the phase assemblage of one-part alkali-activated materials, which in turn influences their engineering properties such as the resistance against chemically/biologically aggressive media.
Components in the Aerospace, Power and Automotive engineering sectors are frequently subjected to cyclic stresses induced by thermal fluctuations and mechanical loads. For the design of such components, reliable material property data are required which need to be acquired using well accepted and reproducible test procedures for thermo-mechanical fatigue (TMF) loading. Available materials TMF property data are limited so that there is a need for further TMF data generated by TMF testing. The TMF behaviour of materials is often desired to be simulated in models which describe the cyclic stress-strain behaviour, the fatigue life and the cyclic crack growth behaviour. There is a continuous need for the development and amendment of such models. Models can be validated by using materials in industrial applications which are subjected to TMF loading.
The fire-induced spalling behaviour of concretes has a huge effect on the fire resistance of concrete components. Therefore, fire performance must be taken into account in the design and dimensioning of concrete structures. The use of new types of concrete and different types of cement or binder must also be considered. Despite decades of research, the mechanisms underlying the spalling phenomenon are not yet fully understood. However, knowledge about these mechanisms is the prerequisite for predicting the spalling behaviour as accurately as possible.
Experimental research from material characterisation on the micro scale up to full-sized fire tests as well as the simulation and modelling of fire-induced damage processes offer the opportunity to investigate the spalling behaviour of concrete. Thereby, a variety of influencing parameters must be regarded. Against this background, the effect of avoidance strategies can be evaluated.
Since 2009, the International Workshop on Concrete Spalling due to Fire Exposure (IWCS) offers a platform to get in touch with researchers and practitioners, exchange the latest research results and newly acquired data from real fire scenarios, and discuss current developments in the field of concrete spalling. After the successful workshops in Leipzig (Germany), Delft (Netherlands), Paris (France), Borås (Sweden) and Sheffield (United Kingdom), the 7th International Workshop IWCS took place in Berlin at BAM. It provided insights into the work of two RILEM Technical Committees. Based on this, various results of screening tests and large-scale tests for the assessment of the fire-induced spalling behaviour of concretes were presented, taking into account a large number of influencing parameters. Further topics of the workshop were the analysis of the mechanisms for the spalling phenomenon as well as the modelling and simulation of the spalling processes. A large part of the workshop was devoted to the high-temperature behaviour of various types of concrete.
The workshop was dedicated to Prof. Diederichs, who passed away on 20 January 2022. With his death, the spalling community lost an internationally renowned expert in the field of fire behaviour of concrete and reinforced concrete components. He played a decisive role in the design of all previous RILEM TCs on the high temperature and fire behaviour of concretes and reinforced concrete components.
We present, to our knowledge for the first time, a 100-km Brillouin Optical Frequency-Domain Analysis (BOFDA) employing a 200-km fiber loop. Compared to our previous publication, enhanced sensor length, sensor accuracy and spatial resolution are presented. The performance improvements are achieved by applying distributed Raman amplification (DRA) and a digital high-pass filter. We report on temperature measurements over sensing distances of 75 km and 100 km both with a 12.5-m spatial resolution. Temperature changes of 5 °C have been measured along 75 km sensing fiber. A temperature change of 30 °C has been detected at 99.5 km.
Simulation-based digital twins have emerged as a powerful tool for evaluating the mechanical response of bridges. As virtual representations of physical systems, digital twins can provide a wealth of information that complements traditional inspection and monitoring data. By incorporating virtual sensors and predictive maintenance strategies, they have the potential to improve our understanding of the behavior and performance of bridges over time. However, as bridges age and undergo regular loading and extreme events, their tructural characteristics change, often differing from the predictions of their initial design. Digital twins must be continuously adapted to reflect these changes. In this article, we present a Bayesian framework for updating simulation-based digital twins in the context of bridges. Our approach integrates information from measurements to account for inaccuracies in the simulation model and quantify uncertainties. Through its implementation and assessment, this work demonstrates the potential for digital twins to provide a reliable and up-to-date representation of bridge behavior, helping to inform decision-making for maintenance and management.