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    187 research outputs found

    Crack monitoring with DFOS: Distributed strain measurements with various DFOS/adhesive combinations and model development for strain peak prediction

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    Coherent optical frequency domain reflectometry (c-OFDR) enables continuous and automated crack monitoring in concrete structures due to its high spatial resolution and long sensing range. However, the selection of a suitable DFOS/adhesive combination (DAC) remains a key challenge and is typically based on empirical knowledge. As a result, the monitoring quality is highly dependent on the user’s experience. Inappropriate choices can result in undetected cracks, degraded signal quality, miscalculated crack widths, or even fiber breakage. This study proposes a semi-analytical model for predicting strain curves for arbitrary crack patterns, based on experimentally derived parameters, such as sensitivity, strain lag parameter, and the extent of bond disturbance due to transverse cracking. The model was validated using strain measurements from tests on reinforced concrete specimens with multiple cracks. With only a few input parameters, it enables accurate representation of crack-induced strain peaks and allows for the consideration of measurement limitations typical for c-OFDR systems. Based on this, design charts and an open source software tool were developed to support practitioners in the systematic selection of DACs, tailored to the expected crack pattern

    Micro-CT data for SPP 2364 "Model-based control of spray synthesis of structured granules with specified properties using transfer functions derived by multivariate stochastic models and machine learning"

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    The data set comprises the micro-CT data from the 1st funding period of the SPP 2364, project number 504580586. The data published here contains the raw, reconstructed micro-CT images of the two spray dried samples (at two different feed rates) tested. The scans were done using the Zeiss Xradia Versa 510

    eBike measurements for fatigue monitoring using acceleration differences

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    In fatigue monitoring, the aim is to approximate the fatigue damage accumulation in a system, for example to schedule maintenance intelligently. Virtual sensing can be deployed to obtain the required information more efficiently by estimating them from readily available sensor data. This dataset contains acceleration and strain measurements from a sensor equipped eBike, designed to develop such methods. Using the acceleration data, the aim is to estimate the fatigue damage accumulation at the strain gauge positions. Here, the sensors are positioned such that differences between multiple acceleration sensors provide information that is related to the deformation of the eBike frame, so that a connection to strain gauge data can be established by computing differences between integrated displacement data. The dataset includes data intended for training and testing of data-driven modeling approaches, which is obtained from regular eBike usage. Additional labeled data enables the analysis of specific riding maneuvers

    Forschungsdaten zur Dissertation: Konzeption eines fachdidaktischen Patternmodells für den Informatikunterricht

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    Diese Datenpublikation umfasst die im Rahmen der Dissertation „Konzeption eines fachdidaktischen Patternmodells des Informatikunterrichts in den Dimensionen Inhalt, Methode und Medium“ (Kießling, 2025, Universität Leipzig) erhobenen Forschungsdaten. Enthalten sind anonymisierte Daten der Vorstudie (Phasen I und II), der Hauptstudie sowie der explorativen Wirksamkeitsanalyse. Darüber hinaus beinhaltet die Publikation eine Demoversion des im Forschungsprozess entwickelten IML-Modells

    A New Risk Assessment Model for Unexploded underwater Military Munitions: Monte Carlo Simulation

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    This file contains monte carlo simulation data from the following doctoral thesis: Frey, Torsten. A New Risk Assessment Model for Unexploded underwater Military Munitions. Dissertation. Leipzig University. Leipzig. 2025. https://doi.org/10.5281/zenodo.14620239. For detailed information, the interested party is referred to section 6.2 and Appendix 10 of the dissertation

    Data Underpinning: Spin Liquid Mimicry in the Hydroxide Double Perovskite CuSn(OD)₆ Induced by Correlated Proton Disorder

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    The face-centered-cubic lattice is composed of edge-sharing tetrahedra, making it a leading candidate host for strongly frustrated magnetism, but relatively few face-centered frustrated materials have been investigated. In the hydroxide double perovskite CuSn(OH)6, magnetic frustration of the Cu2+ quantum spins is partially relieved by strong Jahn-Teller distortions. Nevertheless, the system shows no signs of long-range magnetic order down to 45 mK and instead exhibits broad thermodynamic anomalies in specific heat and magnetization, indicating short-range dynamical spin correlations — a behavior typical of quantum spin liquids. We propose that such an unusual robustness of the spin-liquid-like state is a combined effect of quantum fluctuations of the quantum spins S = 1/2 , residual frustration on the highly distorted face-centered Cu2+ sublattice, and correlated proton disorder. Similar to the disorder-induced spin-liquid mimicry in YbMgGaO4 and herbertsmithite, proton disorder destabilizes the long-range magnetic order by introducing randomness into the magnetic exchange interaction network. However, unlike the quenched substitutional disorder on the magnetic sublattice, which is difficult to control, proton disorder can in principle be tuned through pressure-driven proton ordering transitions. This opens up the prospect of tuning the degree of disorder in a magnetic system to better understand its influence on the magnetic ground state

    Monitoring Data of the openLAB Research Bridge – Load Test on PE 2.1

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    Between May 5 and 7, 2025, extensive experiments were carried out on the openLAB research bridge. The test program was structured as follows: • Day 1: Static and dynamic measurements in the reference state • Day 2: Loading of the bridge using hydraulic jacks up to the ultimate limit state (yielding of prestressing steel) • Day 3: Local damage of prestressing tendons (cutting wires at several locations) The present dataset contains force and displacement measurements from the load test conducted on Day 2. The load was applied locally to precast element (PE) 2.1 (Field 2, PE axis 1) using two hydraulic jacks and increased up to 400 kN. Displacements were measured at five different positions along PE axis 1. Details on the measurement setup can be found in the attached file readme.txt. Additional information on the project, the bridge and reference-phase measurements is available under the following references: https://doi.org/10.1016/j.dib.2025.111624 https://onlinelibrary.wiley.com/doi/10.1002/best.202300094 Herbers, M., Richter, B., Jan-Hauke, B., Al-Zuriqat, T., Smarsly, K., & Marx, S. (2024, November). openLAB – A large-scale demonstrator for advancing digital twin developments of bridges. In 2024 fib Symposium (pp. 2057–2067). (see attachment) Value of the data: • Validation and calibration of finite element models (FEM) • Comparison with geodetic measurement methods (e.g., total station, drone survey) • Basis for interpreting data from additional monitoring systems (e.g., distributed fiber optic sensing, acceleration measurements, acoustic emission monitoring, etc.) The provided Python script enables data import, post-processing, and visualization of the measurement data (see example figures)

    Data for "Continuous order-to-order quantum phase transitions from fixed-point annihilation"

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    The archive contains the data used to construct Fig. 2, Fig. 3, and Fig. S5 of the manuscript "Continuous order-to-order quantum phase transitions from fixed-point annihilation" by David J. Moser and Lukas Janssen [arXiv:2412.06890]. The work exploits mean-field theory and renormalization group approaches to unveil several examples of continuous order-to-order quantum phase transitions from fixed-point annihilation

    3D-Model Toro Farnese (Research version)

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    The research model is based on the documentation model. It has been cleaned up to remove elements of the sculpture group that, according to research, did not belong to the original Greek model on which the Roman copy in Naples was based

    Adipic acid concentrations from biotransformation by rec. Pseudomonas taiwanensis

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    The dataset belongs to a publication in Green Chemistry from 2023 (DOI: 10.1039/d3gc01105d). In the publication a two-step process is demonstrated, in which phenolic compounds are electrochemically hydrogenated and further converted to adipic acid by a biotransformation of recombinant Pseudomonas taiwanensis. The dataset shows the data from Fig. 3c and 4c in the publication. The two tables show the adipic acid concentration over time in the 500 mL-bubble column reactors, in which the biocatalyst was fed with the substrate solution

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