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Experimental Analysis of Fire Behavior in Pine Forests and Agricultural Fields: Large‐Scale Tests Conducted Within the European <scp>TREEADS</scp> Project
No full textTwo large‐scale experiments investigated fire spread mechanisms in vegetation ground fires in a pine forest and an agricultural field within the European TREEADS project. The tests, conducted in Saxony‐Anhalt and Brandenburg, targeted regions with dry, sandy soils and extensive pine stands and aim to improve suppression strategies and wildfire research. The forest experiment was conducted on a 16 × 22 m plot with line ignition using a gasoline‐diesel mix. Fire spread was documented with drone‐based video and infrared imaging. Ninety‐six thermocouples and two gas sensors were mounted on trees, and a mobile FTIR spectrometer enabled real‐time smoke analysis. A tilled and foam‐treated strip prevented uncontrolled spread. Under stable weather conditions (23°C, light wind, low soil moisture), a consistent temperature rise and distinct combustion phases were observed. Smoldering dominated in areas with mosses, grasses, and deadwood, with intermittent flaming, limited flame heights (< 0.5 m), and substantial smoke production. Peak temperatures exceeded 500°C, and CO concentrations reached 238 ppm, though wind turbulence complicated gas sampling. The second experiment on a cut agricultural field near Nauen involved burning approximately 700 m2 using a 20 m ignition line aligned with wind direction. Drone‐based infrared monitoring captured rapid spread on the stubble surface. The results underscore the variability and measurement challenges of outdoor fires and highlight the necessity of continued large‐scale experiments to support physical and numerical wildfire modeling. These findings provide essential empirical data for evaluating vegetation‐specific burning behavior, improving sensor deployment strategies, and refining validation approaches for next‐generation wildfire spread models under central European fuel and weather conditions, and supporting decision‐making in wildfire management
Quantitative Analysis of Polymers by MALDI‐TOF Mass Spectrometry: Correlation Between Signal Intensity and Arm Number
No full textThe signal intensities of linear and star‐shaped poly(L‐lactides) (PLA) and poly (ethylene oxides) (PEO) were compared to determine the influence of the number of arms on the ionization in matrix‐assisted laser desorption/ionization time‐of‐flight (MALDI‐TOF) mass spectrometry. In this study, a variety of blends were prepared and investigated, including binary and ternary combinations of linear and star‐shaped polymers with similar molecular masses. The focus was on examining their intensity ratios. In equimolar binary PLA blends, polymer stars were observed to exhibit higher intensities than their linear counterparts. This result was supported by experiments with equimolar ternary PLA blends, which clearly demonstrated an intensity dependence on the number of polymer arms. It was observed that four‐arm PLA exhibited higher intensities than three‐arm PLA. A similar trend was observed in investigations involving acetylated polymer end groups, suggesting that differences in ionization are primarily influenced by polymer architecture rather than end groups. In order to validate this assumption, the binding energies for [polymer‐K] + adduct ions utilizing the most stable geometry obtained from GOAT (Global Optimizer Algorithm) were calculated, revealing that star‐shaped lower mass oligomers have slightly higher binding energies
Tailoring TiO2 Morphology and Surface Chemistry for Optimized Photocatalytic Activity in rGO Hybrids
No full textTiO2–reduced graphene oxide (rGO) hybrids were investigated in this study to elucidate how TiO2 morphology and surface chemistry govern charge-transfer pathways and, ultimately, reaction selectivity. Three anatase TiO2 nanostructures were compared: bipyramids predominantly exposing {101} facets (bipy) and two nanosheet-like samples enriched in {001} facets, either fluorinated (n-sh) or thermally defluorinated and {101}-enriched (n-sh_873K). A constant rGO loading (2 wt.%) was introduced via in situ hydrazine reduction of graphene oxide in the presence of TiO2. Photocatalytic activity was evaluated under Xe-lamp irradiation in two model reactions probing oxidative and reductive pathways: phenol degradation and H2 evolution using formic acid as a scavenger. rGO systematically enhanced phenol degradation for all morphologies, with bipy+rGO showing the highest activity. In contrast, H2 evolution was consistently suppressed upon rGO incorporation across all TiO2 samples, although the bipyramidal morphology remained the most active within each series. These results highlight that facet exposure and surface functionalization dictate the beneficial or detrimental role of rGO depending on the targeted photocatalytic pathway
Creep reference data of single-crystal Ni-based superalloy CMSX-6
No full textThe article presents creep data for the single-crystal, [001]-oriented nickel-based superalloy CMSX-6, tested at a temperature of 980 °C under initial stresses ranging from 140 MPa to 230 MPa. The constant-load creep experiments were performed in accordance with DIN EN ISO 204:2019–4 standard within an ISO 17025 accredited laboratory. A total of 12 datasets are included, each of which includes the percentage creep extension as a function of time. The data series and associated metadata were systematically documented using a data schema specifically developed for creep data of single-crystal Ni-based superalloys. This dataset serves multiple purposes: it can be used to compare with one's own creep test results on similar materials, to verify testing setups (e.g., by replicating tests on the same or comparable materials), to calibrate and validate creep models, and to support alloy development efforts
Impact damage characterization on CFRP parts using laser line scanning active thermography
No full textThis study presents a dual-path data processing framework for the detection and characterization of barely visible impact damage (BVID) in carbon-fiber-reinforced polymer (CFRP) structures using laser line thermography (LLT). A robotic LLT system was used to scan impacted CFRP specimens, and the resulting thermal sequences were analyzed using two complementary methods: full thermogram reconstruction followed by Pulse Phase Thermography (PPT) to detect subsurface delaminations, and Time-Summed Gradient Filtering (TSGF) to enhance surface-breaking cracks. Both processing paths produced interpretable results that were fused into a unified combined image and overlay mask, enabling simultaneous visualization of different defect types from a single scan. Quantitative analysis was performed on the binary masks to extract defect dimensions and Signal-to-noise ratio (SNR) values. The results demonstrated that delaminations and multiple cracks could be accurately detected and spatially distinguished, with good agreement to reference methods such as flash thermography and vibrothermography. This work highlights the potential of LLT as a versatile and scalable inspection technique, where multimodal defect detection and segmentation can be achieved through targeted processing and data fusion strategies
Synthetic Dataset for Sequential Learning-Based Optimisation of Bio-Ash Binder Formulations under Seasonal Availability Constraints
No full textThis dataset accompanies the study on sequential learning–based optimisation of bio-ash–cement binder formulations under seasonally varying material availability. It provides a fully synthetic but chemically inspired benchmark design space for evaluating data-driven optimisation strategies in cementitious materials research.
The dataset comprises 5,006 unique binder formulations, each defined by the mass fractions of cement and five bio-based ash components (A1–A5). Ash components represent generic bio-ash types derived from agricultural residues (e.g. rice husk ash, cassava peel ash), and their internal proportions are systematically varied under mass-balance constraints. Cement content ranges from 0 to 100 wt% in discrete steps.
To reflect dynamic supply conditions, the dataset includes season-specific ash usage metrics for four seasons (S1–S4), expressing the fraction of available ash resources consumed by each formulation. A synthetic compressive strength value is assigned to every formulation using a nonlinear scoring function based on chemically inspired descriptors, with added noise to generate a structured yet non-trivial optimisation landscape. These strength values do not represent calibrated physical predictions and are intended solely as a hidden objective function for benchmarking sequential learning algorithms.
The dataset is designed for in silico benchmarking, reproducibility studies, and methodological comparisons of optimisation and active learning strategies. It enables systematic evaluation of algorithmic performance without the need for physical experiments
Direct connection between secondary relaxation mode and fracture toughness in alkali-aluminosilicate glasses
No full textOxide glasses are intrinsically brittle, lacking sufficient atomic-scale mechanisms that can relax mechanical stresses in the vicinity of a propagating crack. As a result, fracture is typically well-captured by considering local bond rupture at the crack tip. Here we demonstrate that barrier energies related to the low-temperature -relaxation mode in alkali-aluminosilicate glasses are inversely related to the fracture toughness measured via standardized three-point bending fracture experiments. This holds true for both a series with varying cations (Li, Na, K) and one with varying Li concentration. The structural rationale for this finding is gained via Raman spectroscopy. The findings suggest that a fundamental structural relaxation mode measured on bulk specimens can serve as an effective guideline for fracture toughness of oxide glasses. Data for additional silicate glasses support this conclusion
Mg-Templated Porosity as a Descriptor of Activity and Durability in ZIF-Derived Fe–N–C O2 Reduction Catalysts - Dataset
No full textAtomically dispersed Fe in N-doped carbon (Fe-N-C) catalysts are leading platinum-group-metal-free candidates for the O2 reduction reaction in proton exchange membrane fuel cells (PEMFCs). Zeolitic imidazolate framework (ZIF-8) derived Fe-N-C present the most promising performance; however, they possess a narrow distribution of small micropores, which limits active site accessibility. Here, to induce hierarchical porosity in Fe-N-C, we report a systematic study on MgCl₂·6H₂O-templated ZIF-8-derived Fe-N-C catalysts for the O2 reduction reaction. MgCl₂·6H₂O addition induced complete Zn removal, collapse of the ZIF-8 framework, and formation of large micro- and mesopores, with graphene-like structures. N content was markedly reduced, with conversion from pyridinic to pyrrolic N species. Rotating disc electrode tests showed a progressive increase in O2 reduction activity with MgCl₂·6H₂O, which is strongly correlated (R2 = 0.98) to the formation of large micropores and small mesopores (1-4 nm). This introduces a clear structure-activity design principle for Fe-N-Cs. The enhanced Fe-N-C porosity also leads to increased degradation rates under accelerated stress test conditions, which we attributed to the oxidation of disordered carbon domains and active Fe loss. This study highlights a key trade-off between porosity-driven O2 reduction activity and durability in Fe-N-C catalysts
Einfluss fertigungsbedingter Eigenspannungen auf die Betriebssicherheit von nassgewickelten Composite-Druckbehältern mit einem nichttragenden Liner
No full textIm Hinblick auf die globale Herausforderung der Energietransformation steigt der Bedarf an Möglichkeiten zur Energiespeicherung. Eine Technologie, die zunehmend in den Fokus rückt, ist die Energiespeicherung mittels komprimiertem Wasserstoffgas. Insbesondere für mobile und Transport-Anwendungen ist eine geringe Masse des Speichers vorteilhaft, weshalb vollumwickelte Composite-Druckbehälter des Typs 4 zum Einsatz kommen. Diese werden überwiegend im Nasswickelverfahren gefertigt, das durch zahlreiche Prozessparameter und physikalische Effekte charakterisiert wird. Die Wahl der Wickelprozessparameter sowie Schwankungen der Materialkennwerte beeinflussen den Eigenspannungszustand in der Composite-Struktur eines Druckbehälters. Somit wirken sie sich auch auf den Spannungszustand im Betrieb aus.
Die vorliegende Dissertation beinhaltet Untersuchungen des Einflusses von fertigungsbedingten Eigenspannungen auf die Sicherheit von Composite-Druckbehältern mit nichttragendem Kunststoff-Liner. Ziel ist es, das mechanische Verhalten von Composite-Druckbehältern besser zu verstehen und deren Sicherheitsniveau sowie Konkurrenzfähigkeit weiter zu steigern.
Schwerpunkte der Arbeit sind experimentelle Untersuchungen der Eigenspannungsentstehung und -entwicklung sowie deren Einfluss auf die Behälter-Sicherheit. Im Fokus befindet sich die Exploration von Möglichkeiten zur Verbesserung der Zuverlässigkeit der Behälter durch Variation der Fertigungsparameter und eine Konditionierung nach der Fertigung. Der Eigenspannungszustand wird in numerischen Simulationen sowie mit dem zerstörenden Bohrlochverfahren charakterisiert. Die Überwachung der Spannungsumlagerung während einer Konditionierung unter Zeitstandbelastung erfolgt mit eingebetteten faseroptischen Sensoren, die später zur Dehnungsmessung in zerstörenden, langsamen Berstprüfungen eingesetzt werden. Zur Vertiefung des Verständnisses des Versagensverhaltens der verwendeten 6,8 l-Druckbehälter wird die Finite-Elemente-Methode eingesetzt. Darüber hinaus werden Qualitätsuntersuchungen der Composite-Struktur mittels Mikro-Computertomographie und Impuls-Echo-Verfahren beschrieben.
Die Ergebnisse der Untersuchungen zeigen, dass eine Steigerung der Zuverlässigkeit durch eine gezielte Innendruckbeanspruchung der gewickelten Behälter nahezu kostenneutral möglich ist. Dies wird im Rahmen der Arbeit anhand eines Baumusters demonstriert. Darüber hinaus wird die Verbesserung der Zuverlässigkeit der Behälter im Rahmen einer Konditionierung unter Zeitstandbelastung vertieft diskutiert. Diese stellt eine weiterführende Möglichkeit dar, das Behälterverhalten positiv zu beeinflussen und das Sicherheitsniveau zu steigern.Considering the global challenge of energy transformation, the demand for energy storage solutions is increasing. One of the technologies, which is gaining attention, is the storage of hydrogen gas under high operating pressures. Particularly for on-board and transport applications, lightweight storage systems are advantageous. Therefore, fully wrapped composite pressure vessels of Type 4 are increasingly used. These are mostly manufactured using the wet filament winding process, which is characterized by numerous process parameters and physical effects. The choice of winding process parameters and variations in material properties influence the residual stress state in the finished component and thus also the stress state under operational loads. This dissertation includes insights into the impact of manufacturing-induced residual stresses on the safety of Type 4 pressure vessels, which contribute to a deeper understanding of the mechanical behavior of composite pressure vessels and support the further enhancement of safety levels and competitiveness.
The work focuses on experimental investigations of the induction and development of residual stresses and their impact on the safety of the composite pressure vessels. A core of the dissertation is an exploration of the possibilities to improve pressure vessel performance through variation of manufacturing parameters and conditioning after manufacturing. The residual stress state is characterized in numerical simulations as well as with the destructive hole-drilling method. Embedded fiber optic sensors are used for the monitoring of stress redistribution during conditioning. The fiber optic sensors are later used for strain measurement in destructive, slow burst tests. Finite element analyses are performed to deepen the understanding of the failure behavior of the used 6.8-liter pressure vessels. Additionally, quality investigations of the composite structure using micro-computed tomography and impulse-echo ultrasonic propagation imaging are described.
The results of the investigations show that an increase in performance is possible through targeted internal pressure regulation during the winding process pressure vessels. This is demonstrated almost cost-neutrally, i.e., without increasing process time and material usage. Furthermore, the improvement of vessel performance through conditioning under increased pressure and temperature is discussed in depth. This represents a further possibility to favorably influence vessel behavior and enhance safety levels
Room-temperature superprotonic conductivity in COOH-functionalized multicomponent covalent organic frameworks
No full textIn solid materials, the development of hydrogen bonding (H-bonding) networks within pores is crucial for efficient proton conductance. In this study, a chemically stable carboxylic acid-functionalized, quinoline-linked 2D microporous covalent organic framework (COF) (Qy-COOH) was synthesized using the Doebner multicomponent reaction (MCR) and compared to a similar framework lacking the –COOH functionality (Qy-H), prepared via an MC Domino reaction. The proton conductivity of the –COOH-functionalized MCR-COF was significantly enhanced, reaching 10−2 S cm−1, attributed to strong H-bonding interactions between water molecules and the dangling –COOH groups within the COF pores. In contrast, the analogous Qy-H framework exhibited a much lower proton conductivity of 10−5 S cm−1, while an imine-based COF showed only 10−6 S cm−1. This work represents the first demonstration of a general strategy to achieve efficient proton conduction in a class of layered 2D –COOH-functionalized COFs, offering superprotonic conductivity without requiring additives at room temperature. The MCR-COF design approach provides a promising pathway for developing highly stable and high-performance proton-conducting materials