Professor
© TUD/NEFM
Professor for Computational and Experimental Solid Mechanics
NameProf. Dr.-Ing. habil. Markus Kästner
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 353 George-Bähr-Straße 3c
01069 Dresden
Research
Data-driven analysis of processes, materials and structures
- Microstructure characterisation and reconstruction
- Description of Process-Structure-Property (PSP) linkages
- Exploration of PSP linkages and inverse materials design
- Virtual Sensing und clustering for load and stress analysis
- Digital twins for predictive maintenance
Development of data- and model-driven modeling techniques
- Physics-constrained neural networks for material modeling
- Data-driven multi-scale modeling with automated data augmentation
- Phase-field modeling of fracture and structural evolution processes
- Modeling of coupled boundary value problems
Experimental characterization and modeling of materials
- Damage and failure of additively manufactured materials
- Process-dependent fatigue behavior of materials
- Inelastic, rate-dependent material behavior of polymers
- Damage and failure of fibre reinforced composites
- Magnetosensitive elastomers and fluids
- Parameter identification and experimental validation of material models
Selected projects
- DFG-Priority Programme SPP 2489 DaMic
- DFG-Research Training Group GRK 2868 D³
- AMTwin - Data-driven analysis of processes, materials and structures for additive manufacturing
- ePredict - Predictive maintenance for electromobility
- LRVTwin - a digital twin for light rail vehicles
- Drucksache - multiscale characterization and modeling of additively manufactured lattice structures
Publications
2024
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Morphological evaluation of β-Ti-precipitation and its link to the mechanical properties of Ti-6Al-4V after laser powder bed fusion and subsequent heat treatments, 14 Jul 2024, In: Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing. 913, 146958Electronic (full-text) versionResearch output: Contribution to journal > Research article
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A demonstrator example for virtual sensing approaches in predictive maintenance applications, 11 Jun 2024, VAL5 Fifth International Conference on Material and Component Performance under Variable Amplitude Loading. p. 243 - 249Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Viscoelasticty 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. 74, 6, p. 1279-1301, 23 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Statistical analysis of effective crack properties by microstructure reconstruction and phase-field modeling, 25 Apr 2024, In: Archive of applied mechanics. 94 (2024), 9, p. 2471-2487, 17 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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DA-VEGAN: Differentiably Augmenting VAE-GAN for microstructure reconstruction from extremely small data sets, 25 Jan 2024, In: Computational materials science. 232, 14 p., 112661Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Rate- and temperature-dependent ductile-to-brittle fracture transition: Experimental investigation and phase-field analysis for toffee, 20 Jan 2024, In: Engineering Fracture Mechanics. 297 (2024), 24 p., 109878Electronic (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, 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, Jan 2024, In: Computer aided design : CAD. 166, 103635Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Application of the Local Strain Approach to estimate fatigue life of clinched joints under constant and variable amplitude loading in different loading conditions, 2024, VAL5 Fifth International Conference on Material and Component Performance under Variable Amplitude Loading. Esderts, A., Werdin, S. & Bleicher, C. (eds.).46Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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