Dr.-Ing. Jörg Brummund
© TUD/NEFM
Name
Dr.-Ing. Jörg Brummund
Send encrypted email via the SecureMail portal (for TUD external users only).
Organization Name
Chair of Computational and Experimental Solid Mechanics
Address
work
Visiting address:
Zeunerbau, Room 354 George-Bähr-Straße 3c
01069 Dresden
Research
- Material modelling
- Modelling of magnetic materials
- Phase field modelling
- Modelling of hydrogels
Teaching
- Tutorials for basic and advanced courses
- Lectures: Tensor analysis, Analytic methods in solid mechanics, Variational calculus
Publications
23 Entries
2025
-
Neural networks meet anisotropic hyperelasticity: A framework based on generalized structure tensors and isotropic tensor functions, 21 Jan 2025, In: Computer Methods in Applied Mechanics and Engineering. 437, 117725Electronic (full-text) versionResearch output: Contribution to journal > Research article
2024
-
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
-
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
-
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
-
Overview of phase-field models for fatigue fracture in a unified framework, 4 Aug 2023, In: Engineering Fracture Mechanics. 288, 109318Electronic (full-text) versionResearch output: Contribution to journal > Research article
-
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
-
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
-
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
-
Jump conditions in phase‐field modeling of interface fracture, Jan 2021Electronic (full-text) versionResearch output: Contribution to conferences > Paper
-
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.
Talks
20 Entries
2023
-
Data-driven modeling of viscoelastic materials using physics-augmented neural networks Rosenkranz, M. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 22 Aug 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
-
Automated Constitutive Modeling of Viscoelastic Materials using Physics-Augmented Neural Networks Rosenkranz, M. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Kästner, M. (Involved person) 31 May 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
-
Physics-augmented neural networks meet hyperelasticity Kalina, K. A. (Speaker), Linden, L. (Involved person), Brummund, J. (Involved person), Klein, D. (Involved person), Weeger, O. (Involved person), Kästner, M. (Involved person) 21 Mar 2023 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2022
-
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
-
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
-
Modeling and simulation of magnetorheological elastomers across scales Kalina, K. A. (Speaker), Metsch, P. (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
-
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
-
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) 2022 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2021
-
Automated constitutive modeling of isotropic hyperelasticity based on artificial neural networks Linden, L. (Speaker), Kalina, K. A. (Speaker), Brummund, J. (Speaker), Kästner, M. (Speaker) 15 Mar 2021 → 19 Mar 2021 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
2018
-
Microscale analysis of interactions in magnetorheological elastomers Metsch, P. (Speaker), Kalina, K. A. (Involved person), Brummund, J. (Involved person), Auernhammer, G. K. (Involved person), Kästner, M. (Involved person) 19 Mar 2018 → 23 Mar 2018 Activity: Talk or presentation at external institutions/events > Talk/Presentation > Contributed
This information is provided by the FIS.