Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models
This work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid exp...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Metals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4701/13/3/621 |
| _version_ | 1797610144362659840 |
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| author | Kris Hectors Dennis Vanspeybrouck Jelle Plets Quinten Bouckaert Wim De Waele |
| author_facet | Kris Hectors Dennis Vanspeybrouck Jelle Plets Quinten Bouckaert Wim De Waele |
| author_sort | Kris Hectors |
| collection | DOAJ |
| description | This work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid experiments were performed in order to generate an open-access, high-quality dataset that can be used as a benchmark for existing models. In the future, more experiments of various specimen geometries and loading conditions will be added. The obtained dataset was used for a study comparing five (non)linear fatigue damage and life prediction models. It is shown how the performance of several (non)linear damage models is strongly dependent on the considered material dataset and loading sequence. Therefore, it is important to verify models with a broad set of independent datasets, as many existing models show significant bias to certain datasets. |
| first_indexed | 2024-03-11T06:10:20Z |
| format | Article |
| id | doaj.art-7beed57b6c5241d895e248560f443c39 |
| institution | Directory Open Access Journal |
| issn | 2075-4701 |
| language | English |
| last_indexed | 2024-03-11T06:10:20Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metals |
| spelling | doaj.art-7beed57b6c5241d895e248560f443c392023-11-17T12:40:18ZengMDPI AGMetals2075-47012023-03-0113362110.3390/met13030621Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction ModelsKris Hectors0Dennis Vanspeybrouck1Jelle Plets2Quinten Bouckaert3Wim De Waele4Laboratory Soete, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, 9000 Ghent, BelgiumLaboratory Soete, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, 9000 Ghent, BelgiumLaboratory Soete, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, 9000 Ghent, BelgiumLaboratory Soete, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, 9000 Ghent, BelgiumLaboratory Soete, Department of Electromechanical, Systems and Metal Engineering, Faculty of Engineering and Architecture, Ghent University, 9000 Ghent, BelgiumThis work addresses the lack of focus on verification and comparison of existing fatigue damage accumulation and life prediction models on the basis of large and well-documented experiment datasets. Sixty-four constant amplitude, 54 two-level block loading, and 27 three-level block loading valid experiments were performed in order to generate an open-access, high-quality dataset that can be used as a benchmark for existing models. In the future, more experiments of various specimen geometries and loading conditions will be added. The obtained dataset was used for a study comparing five (non)linear fatigue damage and life prediction models. It is shown how the performance of several (non)linear damage models is strongly dependent on the considered material dataset and loading sequence. Therefore, it is important to verify models with a broad set of independent datasets, as many existing models show significant bias to certain datasets.https://www.mdpi.com/2075-4701/13/3/621fatiguedamage accumulationexperimentsmetalsnonlinear damageS-N curve |
| spellingShingle | Kris Hectors Dennis Vanspeybrouck Jelle Plets Quinten Bouckaert Wim De Waele Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models Metals fatigue damage accumulation experiments metals nonlinear damage S-N curve |
| title | Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models |
| title_full | Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models |
| title_fullStr | Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models |
| title_full_unstemmed | Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models |
| title_short | Open-Access Experiment Dataset for Fatigue Damage Accumulation and Life Prediction Models |
| title_sort | open access experiment dataset for fatigue damage accumulation and life prediction models |
| topic | fatigue damage accumulation experiments metals nonlinear damage S-N curve |
| url | https://www.mdpi.com/2075-4701/13/3/621 |
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