Dr.-Ing. Karl Kalina
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
- ResearchGate, GoogleScholar
Teaching
- Lecture Materialtheorie in summer term
- Lecture Mehrskalige numerische Modellierung in winter term
- Tutorials for basic and advanced courses
Publications
2025
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Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions , Mar 2025, In: Computer Methods in Applied Mechanics and EngineeringElectronic (full-text) versionResearch output: Contribution to journal > Research article
2024
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Utilizing physics‐augmented neural networks to predict the material behavior according to Yeoh's law , 12 Nov 2024, In: Proceedings in Applied Mathematics and Mechanics: PAMMElectronic (full-text) versionResearch output: Contribution to journal > Research article
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Fast descriptor-based 2D and 3D microstructure reconstruction using the Portilla-Simoncelli algorithm , 22 Jul 2024, In: Engineering with computers. 19 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Viscoelasticity with physics-augmented neural networks: model formulation and training methods without prescribed internal variables , 6 May 2024, In: Computational Mechanics : solids, fluids, engineered materials, aging infrastructure, molecular dynamics, heat transfer, manufacturing processes, optimization, fracture & integrity. 2024, 6, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Neural network-based multiscale modeling of finite strain magneto-elasticity with relaxed convexity criteria , Mar 2024, In: Computer Methods in Applied Mechanics and Engineering. 421, 116739Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Reconstructing Microstructures From Statistical Descriptors Using Neural Cellular Automata , 18 Jan 2024, In: Integrating materials and manufacturing innovation. 13 (2024), 1, p. 272-287, 16 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Fast reconstruction of microstructures with ellipsoidal inclusions using analytical descriptors , 1 Jan 2024, In: Computer aided design : CADResearch output: Contribution to journal > Research article
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Statistical analysis of effective crack properties by microstructure reconstruction and phase-field modeling , 2024, In: Archive of applied mechanics. 94, 9, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
2023
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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
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
- Cement and Concrete Composites
- Computational Mechanics
- Computer Methods in Applied Mechanics and Engineering
- Data-Centric Engineering
- 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