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- 2024
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Mark
Enhancing damage prediction in bulk metal forming through machine learning-assisted parameter identification
- Contribution to journal › Article
- 2023
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Mark
Machine learning-assisted parameter identification for constitutive models based on concatenated loading path sequences
- Contribution to journal › Article
-
Mark
Parameter Identification For Inter Turn Fault Detection In Permanent-Magnet Synchronous Motors Using Stator Flux Linkage DC Offset Monitoring
(2023) 14th IEEE International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives, SDEMPED 2023 p.498-504
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2021
-
Mark
Identification of thermal material parameters for thermo-mechanically coupled material models : Verification and model dependency
- Contribution to journal › Article
- 2020
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Mark
Optimisation based material parameter identification using full field displacement and temperature measurements
- Contribution to journal › Article
-
Mark
Gradient-enhanced modelling of damage for rate-dependent material behaviour-a parameter identification framework
- Contribution to journal › Article
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Mark
A large strain gradient-enhanced ductile damage model : finite element formulation, experiment and parameter identification
- Contribution to journal › Article
- 2018
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Mark
Laminate-based modelling of single and polycrystalline ferroelectric materials – application to tetragonal barium titanate
- Contribution to journal › Article
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Mark
Matching experimental and three dimensional numerical models for structural vibration problems with uncertainties
- Contribution to journal › Article
- 2016
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Mark
Identification of imperfections in thin plates based on the modified potential energy principle
- Contribution to journal › Article
