693.932 PEOPLE
| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Hornig, Andreas
University of Oxford
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (47/47 displayed)
- 2024Soft Body Impact loaded composite structures optimized for energy absorption
- 2024Comparative study of fiber Bragg sensors in remote and direct configuration for impact detection
- 2024Graph based process models as basis for efficient data driven surrogates - Expediting the material development process
- 2024A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRPcitations
- 2023Active SHM and impact sensing for composite aerospace structures based on the TEmSAL technology - demonstration on a generic aircraft engine containment segment
- 2023Modelling delamination in fibre-reinforced composites subjected to through-thickness compression by an adapted cohesive law
- 2023Modelling of composite manufacturing processes incorporating large fibre deformations and process parameter interactions
- 2022Experimental investigation of large-scale high-velocity soft-body impact on composite laminatescitations
- 2022A Data Driven Modelling Approach for the Strain Rate Dependent 3D Shear Deformation and Failure of Thermoplastic Fibre Reinforced Composites: Experimental Characterisation and Deriving Modelling Parameterscitations
- 2022Experimental investigation of high strain-rate, large-scale crack bridging behaviour of z-pin reinforced tapered laminatescitations
- 2022Embedded sensing and actuating in CFRP composite structures - Concept and technology demonstration for tailored embeddable sensor-actuator layers(TEmSAL)citations
- 2022Experimental and numerical study on the effect of interlaminar properties on the structural properties of steel/polymer/steel crashboxes
- 2022Embedded sensing and actuating in CFRP composite structures - concept and technology demonstration for tailored embeddable sensor-actuator layers (TEmSAL)citations
- 2022Steuerung von Compliant-Mechanismen durch Reinforcement Learning
- 2022High velocity impact on generic CFRP blade specimen:Baseline free method for impact localisation and damage assessment on complex structurescitations
- 2022High velocity impact on generic CFRP blade specimencitations
- 2021On the Temperature Dependent Mechanical Response of Dynamically-loaded Shear-dominated Adhesive Structures
- 2021A mixed numerical-experimental method to characterize metal-polymer interfaces for crash applicationscitations
- 2021Temperature dependent modelling of fibre-reinforced thermoplastic organo-sheet material for forming and joining process simulationscitations
- 2021Contribution to Digital Linked Development, Manufacturing and Quality Assurance Processes for Metal-Composite Lightweight Structurescitations
- 2021Herstellung hybrider Verbunde mittels Pressverfahren
- 2021Experimentelle und numerische Untersuchung der Aufschlusszerkleinerung von Multi-Material-Strukturen zur Abschätzung der Recyclingfähigkeit
- 2021Investigation of the deformation behaviour and resulting ply thicknesses of multilayered fibre–metal laminatescitations
- 2021Influence of adhesion properties on the crash behavior of steel/polymer/steel sandwich crashboxes: an experimental studycitations
- 2021Effect of saw-tooth ply drops on the mechanical performance of tapered composite laminatescitations
- 2021Das Praktische im Virtuellen – digitale Lehre am ILK
- 2021Modelling of thermally supported clinching of fibre-reinforced thermoplastics: Approaches on mesoscale considering large deformations and fibre failurecitations
- 2021Delamination behaviour of embedded polymeric sensor and actuator carrier layers in epoxy based cfrp laminates—a study of energy release ratescitations
- 2020Electro-mechanical test rigs for analysing impact induced wave propagation in composite materials
- 2020Deformation and failure of multi-layered fibre-metal laminates subjected to highly dynamic loading conditions
- 2020On composite model calibration for extreme impact loading exemplified on aerospace structures
- 2019Modelling and simulation approaches for lightweight components and systems in multi-material design employing scale-spanning methods
- 2018Tailored embeddable sensor-actuator layers for CFRP aerospace structures
- 2018Entwicklung werkstoffgerechter Prüfstandards zur Ermittlung bruchmechanischer Kenngrößen des interlaminaren Versagens von textilverstärkten Kunststoffen (BRUKVIK)
- 2018Experimental investigation of the effect of defects in Automated Fibre Placement produced composite laminatescitations
- 2017Graded interlaminar properties in textile reinforced composite and the determination of strain energy release rates
- 2017Berechnungsmethoden für Hochleistungskomponenten
- 2016Forming of carbon fiber reinforced thermoplastic composite tubes - Experimental and numerical approachescitations
- 2016Modelling of the mechanical response of thermoplastic matrix textile composites under dynamic loading – a comparison of methods
- 2015An experimental method for dynamic delamination analysis of composite materials by impact bendingcitations
- 2015On the quantification of errors of a pre-processing effort reducing contact meshing approachcitations
- 2014Experimental and numerical investigation of the blade tip contact interaction of a high pressure compressor stage
- 2012The influence of textile architecture on the strainrate dependant material behaviour of carbon fibre-reinforced composites under bending loading
- 2011Verfahren und Vorrichtung zum Verbinden von thermoplastischen Faserverbundbauteilen mittels stiftförmiger Funktionselemente
- 2010Leichtbausitzschalen im Serientakt
- 2008Numerical and experimental deformation and failure analysis of 3D-textile reinforced lightweight structures under impact loads
- 2006Delamination behaviour of 3D-textile reinforced composites – experimental and numerical approaches
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article
A methodology for direct parameter identification for experimental results using machine learning — Real world application to the highly non-linear deformation behavior of FRP
Abstract
<p>In this work, we demonstrate how Machine Learning (ML) techniques can be employed to externalize the knowledge and time intensive process of material parameter identification. This is done on the example of a recent data driven material model for the non-linear shear behavior of glass fiber reinforced polypropylene (GF/PP) (Gerritzen, 2022). A convolutional neural network (CNN) based model architecture is trained to predict material modeling parameters based on the input of stress–strain-curves. The optimal model architecture and training setup are determined by hyperparameter optimization (HPO). Solely virtual data, generated using the target material model, is used throughout the training and HPO. The final CNN is capable of calculating model parameter combinations from experimental stress–strain-curves which lead to excellent agreement between experimental and associated model curve.</p>