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27 Publications
2025 | Journal Article | LibreCat-ID: 61138
Zhan, Yingjie, et al. “Damage-Incorporated Four-Step Mean-Field Method for Simulating CFRP Machining: A Novel Algorithmic Approach.” Multiscale and Multidisciplinary Modeling, Experiments and Design, vol. 8, no. 10, 434, Springer Science and Business Media LLC, 2025, doi:10.1007/s41939-025-01026-4.
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2024 | Journal Article | LibreCat-ID: 58309
Najafi Koopas, Rasoul, et al. “Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties.” Applied Sciences, vol. 15, no. 1, 160, MDPI AG, 2024, doi:10.3390/app15010160.
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2024 | Journal Article | LibreCat-ID: 62767
Najafi Koopas, Rasoul, et al. “Introducing a Microstructure-Embedded Autoencoder Approach for Reconstructing High-Resolution Solution Field Data from a Reduced Parametric Space.” Computational Mechanics, vol. 75, no. 4, Springer Science and Business Media LLC, 2024, pp. 1377–406, doi:10.1007/s00466-024-02568-z.
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2024 | Journal Article | LibreCat-ID: 62769
Najafi Koopas, Rasoul, et al. “Comparative Analysis of Phase-Field and Intrinsic Cohesive Zone Models for Fracture Simulations in Multiphase Materials with Interfaces: Investigation of the Influence of the Microstructure on the Fracture Properties.” Applied Sciences, vol. 15, no. 1, 160, MDPI AG, 2024, doi:10.3390/app15010160.
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2024 | Journal Article | LibreCat-ID: 62770
Gerlach, Jan, et al. “Enhancing Damage Prediction in Bulk Metal Forming through Machine Learning-Assisted Parameter Identification.” Archive of Applied Mechanics, vol. 94, no. 8, Springer Science and Business Media LLC, 2024, pp. 2217–42, doi:10.1007/s00419-024-02634-1.
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2024 | Journal Article | LibreCat-ID: 62768
Najafi Koopas, Rasoul, et al. “A Spatiotemporal Deep Learning Framework for Prediction of Crack Dynamics in Heterogeneous Solids: Efficient Mapping of Concrete Microstructures to Its Fracture Properties.” Engineering Fracture Mechanics, vol. 314, 110675, Elsevier BV, 2024, doi:10.1016/j.engfracmech.2024.110675.
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2022 | Journal Article | LibreCat-ID: 62771
Schulte, Robin, et al. “Machine Learning-Assisted Parameter Identification for Constitutive Models Based on Concatenated Loading Path Sequences.” European Journal of Mechanics - A/Solids, vol. 98, 104854, Elsevier BV, 2022, doi:10.1016/j.euromechsol.2022.104854.
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2021 | Journal Article | LibreCat-ID: 62773
Schulte, Robin, et al. “A Computational Framework for Gradient‐enhanced Damage – Implementation and Applications.” PAMM, vol. 20, no. 1, e202000215, Wiley, 2021, doi:10.1002/pamm.202000215.
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2021 | Journal Article | LibreCat-ID: 62772
Schowtjak, Alexander, et al. “ADAPT — A Diversely Applicable Parameter Identification Tool: Overview and Full-Field Application Examples.” International Journal of Mechanical Sciences, vol. 213, 106840, Elsevier BV, 2021, doi:10.1016/j.ijmecsci.2021.106840.
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2020 | Journal Article | LibreCat-ID: 62777
Schulte, Robin, et al. “Gradient-Enhanced Modelling of Damage for Rate-Dependent Material Behaviour—A Parameter Identification Framework.” Materials, vol. 13, no. 14, 3156, MDPI AG, 2020, doi:10.3390/ma13143156.
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2020 | Journal Article | LibreCat-ID: 62778
Langenfeld, Kai, et al. “Influence of Anisotropic Damage Evolution on Cold Forging.” Production Engineering, vol. 14, no. 1, Springer Science and Business Media LLC, 2020, pp. 115–21, doi:10.1007/s11740-019-00942-y.
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2020 | Journal Article | LibreCat-ID: 62776
Clausmeyer, Till, et al. “Prediction of Ductile Damage in the Process Chain of Caliber Rolling and Forward Rod Extrusion.” Procedia Manufacturing, vol. 47, Elsevier BV, 2020, pp. 649–55, doi:10.1016/j.promfg.2020.04.201.
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2019 | Journal Article | LibreCat-ID: 62775
Schowtjak, Alexander, et al. “Prediction and Analysis of Damage Evolution during Caliber Rolling and Subsequent Cold Forward Extrusion.” Production Engineering, vol. 14, no. 1, Springer Science and Business Media LLC, 2019, pp. 33–41, doi:10.1007/s11740-019-00935-x.
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2019 | Journal Article | LibreCat-ID: 62779
Ostwald, Richard, et al. “On the Implementation of Finite Deformation Gradient-Enhanced Damage Models.” Computational Mechanics, vol. 64, no. 3, Springer Science and Business Media LLC, 2019, pp. 847–77, doi:10.1007/s00466-019-01684-5.
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2017 | Conference Paper | LibreCat-ID: 62781
Ostwald, Richard, et al. “A THERMODYNAMICALLY CONSISTENT FINITE STRAIN MICRO-SPHERE FRAMEWORK FOR PHASE-TRANSFORMATION.” Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016), Institute of Structural Analysis and Antiseismic Research School of Civil Engineering National Technical University of Athens (NTUA) Greece, 2017, doi:10.7712/100016.1945.10899.
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2016 | Journal Article | LibreCat-ID: 62782
Ostwald, Richard, et al. “Extending a Finite Strain Hyperelastic Micro‐sphere Framework towards Phase Transformations.” PAMM, vol. 16, no. 1, Wiley, 2016, pp. 381–82, doi:10.1002/pamm.201610179.
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2015 | Dissertation | LibreCat-ID: 62784
Ostwald, Richard. Modelling and Simulation of Phase Transformations in Elasto-Plastic Polycrystals. LibreCat University, 2015, doi:10.17877/DE290R-155.
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2015 | Journal Article | LibreCat-ID: 62783
Ostwald, Richard, et al. “An Energy-Barrier-Based Computational Micro-Sphere Model for Phase-Transformations Interacting with Plasticity.” Computer Methods in Applied Mechanics and Engineering, vol. 293, Elsevier BV, 2015, pp. 232–65, doi:10.1016/j.cma.2015.04.008.
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2014 | Journal Article | LibreCat-ID: 62785
Ostwald, Richard, et al. “A Gibbs‐energy‐barrier‐based Computational Micro‐sphere Model for the Simulation of Martensitic Phase‐transformations.” International Journal for Numerical Methods in Engineering, vol. 97, no. 12, Wiley, 2014, pp. 851–77, doi:10.1002/nme.4601.
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2014 | Journal Article | LibreCat-ID: 62786
Ostwald, Richard, et al. “Towards the Multi-Scale Simulation of Martensitic Phase-Transformations: An Efficient Post-Processing Approach Applied to Turning Processes.” Journal of Materials Processing Technology, vol. 214, no. 8, Elsevier BV, 2014, pp. 1516–23, doi:10.1016/j.jmatprotec.2014.02.022.
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