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    Weld heat input effect on microstructure and hydrogen diffusion in thick-walled S690 submerged arc welded joints

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    High-strength, low-alloy (HLSA) steels such as S690 are an attractive option for heavy industries such as offshore wind turbines and peripheral equipment due to their combination of excellent mechanical properties and weldability. The construction of these thick-walled structures requires highly efficient welding processes such as submerged arc welding (SAW). However, SAW faces challenges related to delayed hydrogen assisted cold cracking (HACC). Despite its importance, the effect of different diffusion coefficients on the cold cracking susceptibility of different microstructures within SAW-welded S690 steels is not fully understood. For this reason, the present study focuses on comparing the cold cracking susceptibility of thermomechanically rolled (TM) or quenched and tempered (QL) variants of S690 steel. Submerged arc welding was performed on both steel grades at different welding heat inputs. From these thick-walled welds, metallic membranes were extracted from the weld metal, the heat-affected zone (HAZ), and the two base metals. The specimens were subjected to electrochemical hydrogen permeation tests (according to ISO 17081) to determine the microstructure-specific hydrogen diffusion coefficients. In general, increased welding heat input and thickness decreased the hydrogen diffusion coefficients, i.e., the time required for hydrogen diffusion increased. In addition, the results showed that the TM grade exhibited slightly accelerated hydrogen diffusion coefficients compared to the QL grade, which is beneficial for hydrogen reduction and increases the HACC resistance. As a result, the microstructure-specific assessment of hydrogen diffusion in the BM, HAZ or WM of the SAW joint was less important for a given set of welding parameters compared to other welding processes such as gas metal arc welding (GMAW). The reason is that in multilayer SAW, the relatively large welding heat input and multiple annealing resulted in similar microstructures, resulting in very close hydrogen diffusion coefficients. From this point of view, it is sufficient to characterize the hydrogen diffusion coefficients of both the weld metal and the base material

    Interferometric sensing in the UV range – Investigation and comparison of the all-reflective spatial heterodyne spectrometer designs

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    Spatial heterodyne spectrometers (SHS) are optical interferometric devices, working in the UV and visible spectral ranges [1]. The most common SHS setup is similar to the Michelson interferometer, both utilizes a beam splitter in the incoming beam path. In case of the SHS the split beams are not aimed towards orthogonal mirrors, but reflective optical gratings, set under a selected angle. These optical gratings diffract the beams, the direction of every wavelength will depend on the grating constant and the angle of the gratings. The wavefronts belonging to different wavelengths are going to cross each other under a unique angle, resulting in a spatial interference, which is recorded by a digital camera. This relatively compact setup provides high resolution and light throughput, which properties were harnessed for tasks requiring good line separation and/or high sensitivity [2]. However, SHS are only applicable on wavelengths for which an adequate transmissive beam splitter is available like the visible range, but not the far UV. To overcome this limitation, different all-reflective designs were introduced [3]. These instruments utilize symmetric optical gratings for the splitting and recombination of the beams. Although these SHS devices solve the main limitations of the traditional ones, they come with their fair share of drawbacks as well, such as more complex arrangement and the requirement for more delicate tuning. The behaviour of the traditional SHS is well documented [4,5], but in regards of the all-reflective ones we have much less available information. In this current study we utilized computational modelling to predict the behaviour of the all-reflective SH spectrometers, with special attention to the effects of the different alignment errors. Later we utilize this knowledge to fine tune an SHS for sensing (LIBS, Raman) in the UV region. Furthermore, we are introducing two new all-reflective SHS setups and compering them to their older counterparts

    EvalTherm: Evaluation of passive thermography for the inspection of operational wind turbine rotor blades

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    Wind turbine rotor blades (WTBs) have undergone numerous developments related to their design, manufacturing, and material selection. The drive for cost efficiency has resulted in increasingly longer WTBs over the past two decades [1]. Despite advancements in wind turbine technology, WTB inspection methods have seen little change over the years. While drones are increasingly used, inspections still rely primarily on visual assessments. However, critical structural damage - often originating from manufacturing defects - typically begins within the composite blade structure. With the increase in wind turbine blade (WTB) sizes, now exceeding lengths of 120 meters, passive infrared thermography (IRT) has been explored as an alternative inspection method when thermal or optical excitation is impractical [2]. Despite its advantages, employing IRT in wind industry presents significant challenges due to inherent uncertainties related to material properties, environmental conditions, and calibration factors [3]. The effects of these conditions can be analysed through finite element (FE) modelling, albeit with certain limitations [4, 5]. This work is part of the multi-partner project “EvalTherm,” which aims to evaluate passive IRT as a non-destructive inspection tool for WTBs in operation (schematic of the project is shown in Figure 1:). One parameter that can be used to investigate its effectiveness is thermal contrast, which allows two distinct features to be distinguished in thermal data. Selected results from the project “EvalTherm” are discussed and shown in the presentation. They are primarily categorised into inspections done under controlled conditions: i.e. in laboratory (with active excitation in the form of irradiation) and a climate chamber (with a temperature transient introduced with airflow). Results from these trials help understand the combined effect that are observed in outside measurements, with exposure to the sun and diurnal temperature changes. The presentation will include results obtained from field inspections on operational WTBs

    Design and optimization of integrated multimode interferometers (MMIs) for dual-polarization photonic biosensors for biomedical applications in a silicon-on-insulator platform

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    Faster, more sensitive, and cost-efficient diagnostic tests are crucial, as conventional lab tests are slow and expensive, while rapid tests often lack specificity. Advancements in medical diagnostics are crucial for early disease detection, reducing costs and testing time. Optical biosensors, particularly multimode interferometers (MMIs), offer high sensitivity and integration potential for Point-of-Care applications [1-2]. This work introduces a novel MMI biosensor utilizing orthogonal TE and TM modes, significantly minimizing the footprint

    From Particles to PFAS: Recent Advances in Plasma-based Instrumentation Development

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    In this presentation, recent advances in plasma spectrochemistry with hot and cold plasma sources for the direct detection of nanoparticles as well as per- and polyfluoroalkyl substances (PFAS) will be discussed. In the first part, single-particle inductively coupled plasma mass spectrometry (spICP-MS) with an in-house built data acquisition system with nanosecond time resolution (nanoDAQ) will be presented. In the second part, we turn to a cooler plasma source. Specifically, a flowing atmospheric-pressure afterglow source (FAPA) and its application for the direct mass spectrometric analysis of PFAS will be discussed

    Quantifying the uncertainty of predictive simulations in digital twins through the identification of model bias

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    This work presents a novel approach to quantifying uncertainty in digital twin simulations by address-ing model bias through embedded parameter distributions. Traditional Bayesian methods often under-estimate uncertainty due to assumptions of model correctness. We propose a hierarchical Bayesian framework combined with Polynomial Chaos Expansion to better capture and propagate uncertainty. The methodology is validated on an analytical example and a real-world case involving thermal defor-mation predictions of the Nibelungen Bridge, demonstrating improved predictive accuracy and relia-bility

    Impact Experiments on Reinforced Concrete Specimens - Investigation of Repeatability and Scaling

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    Nowadays, the impact resistance of concrete structures has become a prominent concern for critical infrastructure operators, particularly amidst escalating geopolitical tensions. Regulators and design engineers know that reinforced concrete structures can only be developed with high efficiency by considering nonlinear structural and highly nonlinear material behavior. Therefore, specific guidelines on impact design provide instructions for design and analysis of structures required to resist impact loading. These instructions are usually based on published results and evaluated data of impact experiments carried out in laboratories. To widen the knowledge and increase the scientific data the Institute of Concrete Structures (IMB) at TUD Dresden University of Technology (TUD) has carried out many impact experiments on reinforced concrete specimens in recent years. A specially designed drop tower is available for this purpose on the premises of the Otto Mohr Laboratory, TUD. In the framework of the past research at TUD some important issues, such as influence of rebar arrangement, structural thickness, scalability of specimen and repeatability, with regard to experimental impact testing were investigated. This article presents the drop tower facility and research results of impact experiments on reinforced concrete slabs. First, the scalability of impact experiments will be discussed in conjunction with already known theoretical scaling parameters provided by researchers in the past, e.g. Rüdiger et al. [1]. Scalability of experimental data is of huge importance since protective structures made of reinforced concrete differ usually in size in comparison to experimental specimens. The second important research focus is on repeatably of impact experiments. Since impact experiments are usually time consuming and expensive, a certain impact scenario is mostly carried out only once. It is intended to show the range of deviation of impact tests on some already carried out experiments on reinforced concrete slabs. A possible standard deviation is estimated for the applied test setup

    A practical handbook for safe, smart and durable construction in Ghana

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    The handbook provides practical guidelines for safe, efficient, and effective construction in Ghana, focusing on proper cement use, mixing consistencies and techniques, and environmental protection. It emphasizes quality control, safety in handling construction materials, and the importance of using protective equipment to prevent health hazards

    Water absorption effects on distributed temperature sensing using polyimide-coated optical fiber

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    Polyimide-coated fibers are becoming more popular for distributed temperature sensing (DTS) because this coating can withstand much higher temperatures than the standard acrylate coating. As a hygroscopic material, polyimide can absorb water from the air, changing its properties, which may result in a modified temperature response of the sensing fiber. This study investigates the effect of water absorption on the performance of polyimide-coated optical fibers with different sizes and properties. The thermal response of these fibers was determined experimentally from 20°C to 90°C at a broad relative humidity level ranging from 10% to 90%. The results show that all the fibers experienced a decrease in temperature sensitivity as humidity increased, with the most noticeable non-linear spectral shift observed at higher humidity levels. These findings highlight the importance of optimizing fiber design and coating properties to balance stability and sensitivity, ensuring the reliable performance of DTS systems under extreme environmental conditions

    Forschung zum Thema Feuer an der BAM

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    Feuer und deren Auswirkung stellen ein Querschnittsthema über die Aktivitätsfelder der BAM dar. Schwerpunkte stellen dabei Brände in Gebäuden, Industrieanlagen und Lagerräumen, der Vegetation, an Fahrzeugen und Tanks sowie Brände im Zusammenhang mit neuen Energieträgern dar. Im Vortrag werden die einzelnen Themen und exemplarische für deren Erforschung nutzbare Infrastruktur vorgestellt

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