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Schultheis, Erik (2022) Generating Displacement Data with Physics-Guided Adversarial Networks and Physics-Informed Neural Networks. Master's, Technische Universität Darmstadt.
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| Item URL in elib: | https://elib.dlr.de/189439/ | ||||||||
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| Document Type: | Thesis (Master's) | ||||||||
| Title: | Generating Displacement Data with Physics-Guided Adversarial Networks and Physics-Informed Neural Networks | ||||||||
| Authors: |
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| Date: | 16 October 2022 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | generative adversarial networks, physics-informed neural networks, digital image correlation, fatigue crack growth | ||||||||
| Institution: | Technische Universität Darmstadt | ||||||||
| Department: | Institut für Kernphysik | ||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||
| HGF - Program: | Aeronautics | ||||||||
| HGF - Program Themes: | Components and Systems | ||||||||
| DLR - Research area: | Aeronautics | ||||||||
| DLR - Program: | L CS - Components and Systems | ||||||||
| DLR - Research theme (Project): | L - Structural Materials and Design, L - Digital Technologies | ||||||||
| Location: | Köln-Porz | ||||||||
| Institutes and Institutions: | Institute of Materials Research > Metallic Structures and Hybrid Material Systems | ||||||||
| Deposited By: | Melching, David | ||||||||
| Deposited On: | 27 Oct 2022 09:28 | ||||||||
| Last Modified: | 27 Oct 2022 09:28 |
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