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Browsing by Author "Hartung, Felix"

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  • ItemOpen Access
    Data corresponding to paper: "Incorporation of a Viscoelastic-Elastoplastic Material Model for Asphalt based on the Multiscale Microlayer Model into an ALE Formulation for Pavement Structures Considering Dynamic Tire Loadings" by May et al. (submitted 2025)
    (Technische Universität Dresden, 2025-09-12) May, Marcel; Anantheswar, Atul; Yordanov, Ventseslav; Derakhi, Elaheh; Hartung, Felix; Wollny, Ines; Eckstein, Lutz; Kaliske, Michael
    This data publication contains the data related to the scientific contribution "Incorporation of a Viscoelastic-Elastoplastic Material Model for Asphalt based on the Multiscale Microlayer Model into an ALE Formulation for Pavement Structures Considering Dynamic Tire Loadings" by May et al. (submitted 2025). Abstract of the corresponding paper: During braking, acceleration, and steering maneuvers in road traffic, dynamic vertical loads are introduced into the pavement structure. These loads give rise to complex multiaxial stress states within the layered pavement structure, which consists of materials with differing mechanical behavior. The dynamic nature of these maneuvers requires that the resulting stress states have to be considered over large spatial and temporal intervals. In this work, a novel multiscale ALE-FEM approach is introduced for the first time, capable of capturing the complex, multiaxial stress states within the asphalt pavement during steering and acceleration maneuvers. Numerical efficiency and physical representativeness are achieved through the use of a finite viscoelastic–elastoplastic material model embedded in the microlayer framework, a thermodynamically derived multiscale approach that avoids the computational cost of a conventional FE² scheme. Additionally, the application of a dynamic Arbitrary Lagrangian-Eulerian (ALE) formulation ensures that the meshed geometry remains small in comparison to the extensive length of the actually traversed road section. To experimentally determine the loads generated by a tire during a steering maneuver, a single-wheel test rig is used, in which, the side slip angle is systematically varied. The measured data is then used to generate time- and space-resolved footprints, which serve as realistic boundary conditions for simulating tire pavement interaction.
  • ItemOpen Access
    Data corresponding to paper: "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025)
    (Technische Universität Dresden, 2025-12-16) Haverkamp, Pamela; Hartung, Felix; Traverso, Marzia; Lo Presti, Davide
    This data publication contains the data related to the scientific contribution "Investigating end-of-life allocation approaches for bituminous mixtures" by Haverkamp et al. (2025) Abstract of the corresponding paper: This study examines end-of-life (EoL) allocation in Life Cycle Assessment (LCA) of bituminous mixtures, comparing four: 0:100 (EoL burdens and credits attributed to secondary material producer), EN 15804 (burden split at end-of-waste), 50:50 (burdens and credits divided equally), and Circular Footprint Formula (CFF) (allocation considering market situation). Notably, this is the first application of the CFF to bituminous mixtures. Each method is evaluated regarding recyclability, downcycling avoidance, applicability to bituminous mixtures, and loop considerations. In the case study, the 0:100 method yielded the lowest Climate Change impact (-10.7 kg CO2 eq./t), followed by EN 15804, 50:50, and CFF (65.1 kg CO2 eq./t). While 0:100 and 50:50 were the most straightforward approaches, EN 15804 and CFF were more sensitive to market conditions. Sensitivity analyses covering reclaimed asphalt content, binder availability, quality ratio, and EoL fate highlighted the importance of selecting appropriate allocation methods to ensure accurate results and support circular economy strategies.
  • ItemOpen Access
    Determination of the material behavior of asphalt using performance-oriented test methods
    (Technische Universität Dresden, 2025-12-09) Kamratowsky, Erik; Hartung, Felix; Leischner, Sabine; Zeißler, Alexander
    The tests carried out included a Stone Mastic Asphalt with a maximum grain size of 11 mm (SMA 11 S). Greywacke was selected as the aggregate and dolomite with 10% hydrated limestone as the filler. A polymer-modified bitumen of the type 40/80-85 A was used as the binder, and the binder content was varied from 6.0 M-% to 8.0 M-% in order to determine the optimum binder content. The SMA 11 S was mixed in the pavement laboratory of the Technical University of Dresden. For this purpose, the asphalt was mixed in a mixer. The slabs were then produced using a rolling compactor. Samples were taken from the slabs and assigned a numerical identifier according to the order in which the cores were taken. Consequently, the names of the samples do not correspond to any of the names given in the guidelines. The stiffness and fatigue behavior were determined using the indirect tensile test (according to TP Asphalt-StB 2018, Parts 24 and 26), the deformation behavior using the (uniaxial) compression test on a slim sample (according to AL DSV slim 2024), and the low-temperature behavior using the thermal stress restrained specimen Test (according to TP Asphalt-StB 2013, Part 46 A). The results of these tests are presented for all asphalt variants in this data publication. In contrast to the guideline AL DSV slim 2024, other maximum stresses were utilized in the third stage at temperatures of 30 °C and 40 °C. This enabled the assessment of greater loading on the sample, thereby providing a more accurate indication of the deformation behavior of the high-performance asphalt.
  • ItemOpen Access
    Geometric-Semantic-Model and Platform for pavement loading and response monitoring of a German Highway
    (Technische Universität Dresden, 2025-11-06) Crampen, David; Hartung, Felix; Effkemann, Christoph; Becker, Ralf; Blankenbach, Jörg
    This data publication contains the data and derivatives corresponding to the geometric-semantic model generated as foundation for the interactive visualization of the Unreal engine-based digital shadow platform for sensor data management and simulation integration for the use case Weigh-in-Motion (WIM) and pavement response analysis. The Demonstrator "3D Interactive Visualization and Physical Mockup of a WIM Research Site" of the DFG Collaborative Research Center SFB/TRR 339 “Digital Twin Road” represents a case study for evaluating the feasibility of integrating multiple monitoring subsystems into a single source of truth representing the main components of a digital shadow system. The system integrates WIM system measurements, simulated pavement deformations and a real-time connection to a small-scale physical mock-up, where vehicle positions and proxy vehicle loading measurements can be monitored in real time. This demonstrates the feasibility of sensor data integration into a single-source-of-truth and linkage of real-time capable pavement analysis simulations into a high fidelity 3D monitoring environment, allowing interaction with the physical environment.
  • ItemOpen Access
    Influence of various types of modification on the material behavior of bitumen
    (Technische Universität Dresden, 2025-11-11) Kamratowsky, Erik; Hartung, Felix; Leischner, Sabine; Zeißler, Alexander
    The present study investigated the influence of various types of modifications on the material behavior of bitumen. The stiffness behavior was examined using a temperature-frequency sweep, and the deformation behavior was examined using an adapted Single Stress Creep Recovery (SSCR) test. These tests were carried out on Anton Paar's Dynamic Shear Rheometer (DSR) utilizing the plate-plate geometry. The Anton Paar DSR was also employed to assess fatigue and low-temperature behavior, utilizing a solid-sample geometry. The tests are described in more detail in "Chemical and Mechanical Characterisation of Sbs-Modified Bitumen" by Kamratowsky et al. (submitted 2025).
  • ItemOpen Access
    Tire Footprint Measurements of Commercial Truck Tires
    (Technische Universität Dresden, 2025-12-02) Yordanov, Ventseslav; Hartung, Felix; Eckstein, Lutz
    This data publication presents high-resolution measurements of tire contact patch pressure distributions obtained using a capacitive pressure-mapping sensor with 1.6 mm spatial resolution and 65,536 sensing points. The dataset captures contact pressures between 69 kPa and 2070 kPa for two commercial truck tires. Footprints were recorded at various wheel loads under a constant inflation pressures, providing detailed insight into load-dependent pressure behavior. All measurements were taken with the sensor mounted on a flat surface within the experimental setup, while the ika’s tire stiffness test rig (SteiReP) supplied controlled loading conditions to ensure repeatable data acquisition.
  • ItemOpen Access
    Weigh-in-Motion and Environmental Data from a German Highway
    (Technische Universität Dresden, 2025-11-13) Hagmanns, Moritz Peter Mathias; Jablkowski, Boguslaw; Hartung, Felix; Fazekas, Adrian; Oeser, Markus
    Weigh-in-Motion (WIM) systems capture traffic-induced loads under real driving conditions, providing valuable insights into pavement loading. This dataset was collected within the DFG Collaborative Research Center SFB/TRR 339 “Digital Twin Road” using the project’s research WIM installation on the main lane of the A1/A61 highway near Erftstadt, Germany. It originates from Kistler’s KiTraffic Digital system and includes measurements from two sensor rows (four Lineas Digital sensors, type 9181A). Over a six-month observation period in 2025, 3.26 million vehicles with a total of 9.55 million axles were recorded. Each vehicle record provides detailed information on vehicle classification, loads, geometry, and tire-patch dimensions, which are rarely available from real-world WIM systems. In addition, separate environmental factors — such as asphalt and air temperature as well as solar irradiance — were recorded. The dataset supports analyses of load distributions, traffic composition, environmental factor, and speed characteristics, contributing to data-driven modeling of infrastructure loading and digital twins of road systems.

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