Dipl.-Ing. Lennart Linden
Dipl.-Ing. Lennart Linden
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
Zeunerbau, Room 350 George-Bähr-Straße 3c
01069 Dresden
Research
- Data-driven material modeling and simulation methods
- Application of neural networks in solid mechanics
- Embedding basic physical principles in neural networks
- Data-driven identification based on full-field data
- ResearchGate, GoogleScholar
Teaching
- Tutorial Continuum Mechanics (main studies)
- Tutorial Finite Element Method (main studies)
- Tutorial Statics and Dynamics (basic studies)
Publications
2025
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A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks, 1 Dec 2025, In: Computer Methods in Applied Mechanics and Engineering. 447, 118289Electronic (full-text) versionResearch output: Contribution to journal > Research article
2024
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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
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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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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FEANN - An efficient data-driven multiscale approach based on physics-constrained neural networks and automated data mining, 3 Jul 2022, 22 p.Electronic (full-text) versionResearch output: Preprint/documentation/report > Preprint
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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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Thermodynamically consistent constitutive modeling of isotropic hyperelasticity based on artificial neural networks, 2021, In: Proceedings in Applied Mathematics and Mechanics: PAMM. 21, 1, p. e202100144, 3 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
Conference Talks
2022
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Application of Artificial Neural Networks in Constitutive Modeling: A Comparison of Various Network Architectures Kalina, K. A. (Speaker), Rosenkranz, M. (Involved person), Linden, L. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 21 Sep 2022 → 23 Sep 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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An efficient data-driven multiscale scheme based on physics-constrained neural networks and autonomous data mining Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 15 Aug 2022 → 19 Aug 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Constitutive Modeling of Isotropic and Anisotropic Hyperelastic Materials based on Physically Constrained Artificial Neural Networks Kalina, K. A. (Involved person), Linden, L. (Speaker), Brummund, J. (Involved person), Kästner, M. (Involved person) 31 Jul 2022 → 5 Aug 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
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Constitutive modeling of isotropic and anisotropic hyperelastic solids based on physically informed artificial neural networks Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 4 Apr 2022 → 6 Apr 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2021
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Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks Linden, L. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 15 Mar 2021 → 19 Mar 2021 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
Monographs
- L. Linden, Implementierung eines datengetriebenen Algorithmus zur Simulation von Fachwerken mit nicht linear elastischem Materialverhalten, Bachelor Thesis Mathematics, 2022
- L. Linden, Datengetriebene Modellierung anisotroper Elastizität bei finiten Deformationen mittels künstlicher neuronaler Netze, Diploma Thesis Mechanical Engineering, 2020