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Eingeladener Vortrag
- nein (143) (entfernen)
The development of offshore wind turbines (WTGs) presents many challenges in terms of safe operation over extended periods of time. One of these is the corrosive environment towards metallic materials, which can lead to a loss of material thickness and thus to a deterioration of mechanical performances, especially the strength of infrastructures. This can be counteracted by painting and cathodic protection (CP). Much research has already been done in this area about inhibiting the corrosion process. However, gaps exist regarding free corrosion. This plays a greater role especially for time intervals during the installation of the systems and their maintenance, during which often no CP can be operated. This is especially true for areas where painting surfaces is impossible e.g., sediment areas. This problem is exacerbated by the different corrosion rates caused by the different zones (water and sediment), with their different amounts of dissolved oxygen.
This presentation deals with experiments in artificial seawater and sediment. Classical S355J2 steel samples in the form of coupons were fitted with welding wires that carried out the electrical contact to the outer side of the basin. Inside the basins, the specimens are stored in different zones like water and sediment which should simulate the foundation situation of monopiles. The mass loss was determined gravimetrically, elemental currents between specimens in water and sediment were measured and electrochemical investigations were carried out. The influences of the zones, based on different solved oxygen contents, and the rolling skin towards the corrosion behavior of the mild steel samples were determined in this work. Especially the influence of the sediment showed unexpected behavior, determined by electrochemical investigations. These results allow better conclusions to be drawn about the corrosion behavior of low alloy steels in offshore environments used in sediment and seawater, which cannot always be protected.
We present a prototype of a distributed POF sensing system for strain detection in road construction and civil engineering ready to be used in practical applications. The system is based on a cost-efficient digital incoherent optical frequency domain reflectometry (I-OFDR). In this approach, the strain-induced changes in the Rayleigh backscattering profile along a perfluorinated polymer optical fiber (PF-POF) are determined by measuring the complex transfer function of the sensing fiber using a compact digital data acquisition unit. The digital unit replaces an oversized vector network analyzer (VNA) enabling suitability of the measurement system for out-door use and providing a significant reduction of the total system costs at the same time. The entire sensor con-cept includes the use of geosynthetics with integrated PF-POFs as two-dimensional sensor structures for geotech-nical applications. The robustness and the functionality of the distributed POF I-OFDR sensors were proven in the field. The field test involved embedding of two geomats, each with two polymer optical sensor loops, into the embankment of the federal road B 91 in a section near Leipzig. The measurements conducted after the sensor-based geomats had been installed confirmed both the potential of such smart geosynthetics and the functionali-ty of the digital I-OFDR prototype.
Setting up sensors for the purpose of environmental monitoring should be a matter of days, but often drags over weeks or even months, preventing scientists from doing real research. Additionally, the newly developed hardware and software solutions are often reinventing existing wheels. In this short paper, we revisit the design of our environmental sensing node that has been monitoring industrial areas over a span of two years. We share our findings and lessons learned. Based on this, we outline how a new generation of sensing node(s) can look like.
Der Vortrag stellt die wesentlichen Inhalte sowie die wichtigsten Änderungen der TRGS 510 "Lagerung von Gefahrstoffen in ortsbeweglichen Behältern" vor.
Die TRGS 510 zeichnet sich durch ein gestuftes Maßnahmenkonzept in Abhängigkeit von der Art und Menge der gelagerten Gefahrstoffe aus. Folgende Maßnahmenstufen werden durch die TRGS 510 beschrieben:
1. Kleinmengen -> Allgemeine Maßnahmen
2. Überschreitung der Kleinmengen -> Lagerung im Lager
3. Überschreitung bestimmter Mengen für spezielle Gefahrstoffe -> Spezielle Maßnahmen
4. Verschiedene Gefahrstoffe und Lagerung im Lager erforderlich -> ggf. Getrenntlagerung und Separatlagerung
An den vor allem vor 2006 errichteten Betonfahrbahndecken sind in den letzten Jahren vermehrt AKR-Schäden aufgetreten. Vor diesem Hintergrund wurde durch das BMVBS das ARS 04/2013 erlassen. Dieses wiederum sieht verbindlich im Vorfeld des Neubaus und der Erneuerung von Fahrbahndecken aus Beton im deutschen Bundesautobahnnetz einen Eignungsnachweis für die Gesteinskörnungen vor. Das hatte in den Folgejahren eine drastische Reduzierung der einsatzbaren Gesteinskörnungen zur Folge. Vor diesem Hintergrund wird in dem Beitrag die Leistungsfähigkeit der Innenhydrophobierung als neuartige AKR-Vermeidungsstrategie zur Nutzbarmachung grenzwertig alkaliempfindlicher Gesteinskörnungen aufgezeigt. Dabei wird ein Einblick in die Ergebnisse zweier aufeinander aufbauender BASt-Forschungsvorhaben gegeben. Den Schwerpunkt bildet hierbei die Bewertung des Einflusses der Dosierung des Hydrophobierungsmittels auf die Frisch- und Festbetoneigenschaften im Rahmen von Basisuntersuchungen im Labor. Aufbauend darauf wird das Prüfprogramm eines großmaßstäblichen Technikumsversuchs und der aktuelle Stand der Umsetzung aufgezeigt.
Bewertung der Innenhydrophobierung als neuartige AKR-Vermeidungsstrategie bei Betonfahrbahndecken
(2023)
Zur Vermeidung von AKR-Schäden an Betonfahrbahndecken im deutschen Autobahnnetz wurden mit dem ARS 04/2013 verbindliche Eignungsprüfungen zum Ausschluss alkaliempfindlicher Gesteinskörnungen bei Neubau- und Erhaltungsmaßnahmen eingeführt. Das hatte eine signifikante Reduzierung geeigneter Gesteinskörnungen zur Folge. Deshalb wird geprüft, ob durch die Zugabe eines Hydrophobierungsmittels während der Betonherstellung grenzwertig alkaliempfindliche Gesteinskörnungen nutzbar gemacht werden können. In diesem Beitrag wird der Einfluss der Dosierung eines Compounds mit Hydrophobierungsmittel (HM) auf die Frisch- und Festbetoneigenschaften eines Waschbetons mit einer reaktiven Grauwacke dargestellt. Es zeigt sich, dass aufgrund des Antagonismus die zunehmende Dosierung des HM-Compounds eine signifikante Erhöhung der Zugabe des Luftporenbildners auf Wurzelharzbasis erfordert. Der AKR-Schädigungsprozess wird ab einer Dosierung des HM-Compounds von 0,75 M.-%, bezogen auf den Zementgehalt, hinreichend vermindert. Die mechanischen Eigenschaften des hydrophobierten Waschbetons verschlechtern sich im betrachteten Dosierungsbereich des HM-Compounds nur geringfügig. Auch der Frost-Tausalz-Widerstand vermindert sich, ohne den normativen Grenzwert für die Abwitterung zu überschreiten.
FAIR (findable, accessible, interoperable and reusable) data usage is one of the main principals that many of the research and funding organizations include in their strategic plans, which means that following the main principals of FAIR data is required in many research projects. The definition of data being FAIR is very general, and when implementing that for a specific application or project or even setting a standardized procedure within a working group, a company or a research community, many challenges arise. In this contribution, an overview about our experience with different methods, tools and procedures is outlined.
We begin with a motivation on potential use cases for the applications of FAIR data with increasing complexity starting from a reproducible research paper over collaborative projects with multiple participants such as Round-Robin tests up to data-based models within standardization codes, applications in machine learning or parameter estimation of physics-based simulation models.
In a second part, different options for structuring the data are discussed. On the one hand, this includes a discussion on how to define actual data structures and in particular metadata schema, and on the other hand, two different systems for storing the data are discussed. The first one is the openBIS system, which is an open-source Lab notebook and PostgreSQL based data management system. A second option are a semantic representations using RDF based ontologies for the domain of interest.
In a third section, requirements for workflow tools to automate data processing are discussed and their integration into reproducible data analysis is presented with an outlook on required information to be stored as metadata in the database.
Finally, the presented procedures are exemplarily demonstrated for the calibration of a temperature dependent constitutive model for additively manufactured mortar. Metadata schemata for a rheological measurement setup are derived and implemented in an openBIS database. After a short review of a potential numerical model predicting the structural build-up behaviour, the automatic workflow to use the stored data for model parameter estimation is demonstrated.
Data provenance - from experimental data to trust worthy simulation models and standards Jörg F. Unger, Annika Robens-Radermacher, Erik Tamsen Bundesanstalt für Materialforschung und -prüfung (BAM). Unter den Eichen 87, 12205 Berlin, Germany FAIR (findable, accessible, interoperable and reusable) data usage is one of the main principals that many of the research and funding organizations include in their strategic plans, which means that following the main principals of FAIR data is required in many research projects. The definition of data being FAIR is very general, and when implementing that for a specific application or project or even setting a standardized procedure within a working group, a company or a research community, many challenges arise. In this contribution, an overview about our experience with different methods, tools and procedures is outlined. We begin with a motivation on potential use cases for the applications of FAIR data with increasing complexity starting from a reproducible research paper over collaborative projects with multiple participants such as Round-Robin tests up to data-based models within standardization codes, applications in machine learning or parameter estimation of physics-based simulation models. In a second part, different options for structuring the data are discussed. On the one hand, this includes a discussion on how to define actual data structures and in particular metadata schema, and on the other hand, two different systems for storing the data are discussed. The first one is the open BIS system, which is an opensource Lab notebook and Postgre SQL based data management system. A second option are a semantic representations using RDF based ontologies for the domain of interest. In a third section, requirements for workflow tools to automate data processing are discussed and their integration into reproducible data analysis is presented with an outlook on required information to be stored as metadata in the database.
Concrete has a long history in the construction industry and is currently one of the most widely used building materials. Unfortunately, the concrete industry has a significant impact on the environment by contributing to about 9% of the total anthropogenic greenhouse gas (GHG) emissions. Concrete is a highly complex composite material. However, the main source of concrete's GHG emissions is the cement. This leads to two main strategies when trying to reduce the environmental impact. The first is to reduce the cement within the concrete mix. This can be done by substituting it using additives or increasing the amount of aggregates. Usually this will lead to decreased material properties, like compressive strength or stiffness. The second option is to reduce the amount of required concrete by optimizing the topology of the structure. However, this might require higher compressive strength. In addition, there are other properties like to workability which need to be considered. All in all, this leads to a highly complex optimization problem, which requires the estimation of effective concrete properties, based on the mixture as input to a predictive simulation.
We present an automated workflow framework which combines experimental data with simulations, calibrates the simulation and performs the desired optimization. This workflow includes classical FE models, design guidelines based on model codes, as well as data driven methods. The chosen example is a beam, for which the concrete mixture is optimized to reduce GHG emissions. The first step is an estimation of material parameters, based on experimental data. This includes measures of stochastic distribution, allowing the quantification of the quality of the estimated parameters. The second step is the optimization. It takes into account constraints like the loading capacity after 28 days, the maximum allowed temperature during cement hydration and the maximum time till demoulding. The applied models include a Mori-Tanaka-based homogenization method to estimate effective concrete parameters, an FE simulation including the evolution of the concrete compressive strength and stiffness, the temperature field, displacements, and stress. This research shows a way towards a more performance-oriented material design.
Fire resistance testing of components made of carbon fibre reinforced polymers (CFRP) composites usually demands intermediate-scale or full-scale testing. In this study, a bench-scale test is presented as a practicable and efficient method to assess the improvement in structural integrity of CFRP with different protective interlayers during fire.
Fire stability is one of the biggest issues of carbon fibre reinforced polymer (CFRP) composites, particularly when they are using in load bearing applications. As soon as the glass transition temperature of polymer matrix (100-200°C) is achieved, the composite loses its structural integrity, what leads to the distortion and failure. The principal fire stability test is based on simultaneous application of fire and mechanical load. Since the carbon fibres can transfer the tensile loads quite well, the compression load is chosen as a required mechanical load for a test. The fire tests were preceded by a static load test at room temperature to determine ultimate failure load. The specimen was loaded with a compression force until the failure load was reached, which was observed as a buckling. For the fire tests, 10% of compression failure load and direct flame of a fully developed fire (heat flux ≈ 180 kW m-2) were applied simultaneously to the specimen, while the time to failure was measured.
The possibilities of bench-scale fire stability testing were presented by investigating new types of laminate structures, which exhibit promising flame retardancy and fireproof properties. The new approach of CFRP laminate differs with a protective concept. Every system consists of two different interlayers (titanium foil, thermoplastic foil PEI, ceramic layer WHIPOX, rubber tape Pyrostat, basalt fibres and kenaf fibres), where the one layer constitutes the fireproof protection, that delays the rise of temperature in the rest of laminate, and the second layer provides very good structural connection with carbon fibre layers, thus improves the mechanical integrity of CFRP composite in fire.
The time to failure of CFRP composite was 17s. Protective systems significantly enhance the fire stability and increased time to failure by 3 to 10 times. Thicker specimens showed longer resistance time, however CFRP laminate with ceramic layer and titanium foil presented outstanding results and the best performance. The protection with Kenaf and basalt fibres offered a natural fibre solution with also good fire resistance performance
Although bench-scale tests are limited with respect to assessing the performance of components and structures, they are valuable in the assessment of different materials concepts. Furthermore, the reduced effort of conducting bench-scale test (lower costs, time, personnel resources) makes it more practical and effective.