Dr.-Ing. Karl Kalina
© TUD/NEFM
Dr.-Ing. Karl Kalina
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 356 George-Bähr-Straße 3c
01069 Dresden
Research
- Data-driven simulation techniques
- Usage of neural networks in solid mechanics
- Modeling and simulation of magnetoactive materials
- Nonlinear FEM, homogenisation methods
- Coupled Problems, constitutive modeling, parameter identification
- Charectirization and reconstruction of microstructures
- Postdoc in RTG 2868 D3 Graduiertenkolleg 2868
- ResearchGate, GoogleScholar
Teaching
- Lecture Materialtheorie in summer term
- Lecture Mehrskalige numerische Modellierung in winter term
- Tutorials for basic and advanced courses
Publications
2023
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Phase-field modelling and analysis of rate-dependent fracture phenomena at finite deformation, Nov 2023, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 72, 5, p. 859–883, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural networks meet hyperelasticity: A guide to enforcing physics, Oct 2023, In: Journal of the Mechanics and Physics of Solids. 179, 105363Electronic (full-text) versionResearch output: Contribution to journal > Research article
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On the relevance of descriptor fidelity in microstructure reconstruction, 15 Sep 2023, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 23, 3, e202300116Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A comparative study on different neural network architectures to model inelasticity, 18 Jul 2023, In: International Journal for Numerical Methods in Engineering. 124 (2023), 21, p. 4802-4840, 39 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Two-stage 2D-to-3D reconstruction of realistic microstructures: Implementation and numerical validation by effective properties, 1 Jul 2023, In: Computer Methods in Applied Mechanics and Engineering. 412, 116098Electronic (full-text) versionResearch output: Contribution to journal > Research article
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FEANN: an efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining, 8 Feb 2023, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 71, 5, p. 827-851, 25 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
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Microstructure Characterization and Reconstruction in Python: MCRpy, Sep 2022, In: Integrating materials and manufacturing innovation. 11, 3, p. 450-466, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks, Jan 2022, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 69, p. 213-232, 20 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2021
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Magneto-Mechanical Coupling in Magneto-Active Elastomers, 2 Jan 2021, In: Materials. 14, 2, p. 1-27, 27 p., 434Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A macroscopic model for magneto‐active elastomers based on microscopic simulations, 2021, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 20 (2020), 1, p. e202000208, 2 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
This information is provided by the FIS.
Conference Talks
2025
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Constitutive Modeling of Anisotropic Elasticityand Magneto-Elasticity with Neural Networks Kalina, K. A. (Speaker), Brummund, J. (Involved person), Roth, H. T. (Involved person), Gebhart, P. (Involved person), Sun, W. (Involved person), Kästner, M. (Involved person) 17 Feb 2025 → 21 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Designing spinodoid architected materials by Bayesian optimization Otto, A. (Speaker), Raßloff, A. (Involved person), Seibert, P. (Involved person), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 17 Feb 2025 → 21 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Neural networks meet phase-field: A hybrid fracture model Dammaß, F. G. (Speaker), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 19 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Neural networks meet phase-field: A hybrid approach to fracture Dammaß, F. G. (Speaker), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 13 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Neural networks meet fracture phase-field: Hybrid modelling of crack propagation Dammaß, F. G. (Speaker), Kalina, K. A. (Involved person), Kästner, M. (Involved person) 12 Feb 2025 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
This information is provided by the FIS.
Awards
- DAAD research scholarship for young scientists with doctorates (04/23 – 09/23)
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TU Dresden Postdoc starter kit (01/23 – 09/24)
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Dr.-Klaus-Körper Awardee in appreciation for an excellent dissertation in Applied Mathematics and Mechanics 2022
Activity as a reviewer for scientific project proposals
Activity as a reviewer for scientific journals
- Cement and Concrete Composites
- Computational Mechanics
- Computer Methods in Applied Mechanics and Engineering
- Data-Centric Engineering
- European Journal of Mechanics - A/Solids
- Examples and Counterexamples
- International Journal for Numerical Methods in Engineering
- Journal of the Mechanics and Physics of Solids
- Mechanics of Materials
- Mechanics of Time-Dependent Materials
- Technische Mechanik