The aim of this project is to provide an experimental approach in attempt to understand as well as map in great detail the failure mechanisms in fibre-reinforced composites, hence making the necessary steps in reducing over-engineering to a minimum. Computed Tomography (CT) will be used as a tool analyse the complex failure processes in fibre-reinforced composites.
To provide a complete analysis, efforts will be made not only to reconstruct the internal the composite volume subjected to loading, but also to provide internal strain mapping, with the focus along the fibre length via Digital Image Correlation assisted by particle inclusion. The latter will serve as validation material against additional measuring techniques and models.
PhD researcher at University of Southampton (2017-present)
M.Sc., Oil and Gas Technology - Chemical Engineering, Aalborg University, Denmark (2014-2016)
B. Eng., Mechanical Engineering, University of Southampton, United Kingdom (2010-2014)
Composite Materials, Micromechanics of Composites, Manufacturing and Testing of Composites, Fracture Mechanics, FEA
I have a genuine passion for engineering and have built a strong skill base along with in-depth theoretical knowledge. I take great pride in aligning myself with the scope and vision of the FiBreMoD project and achieving objectives to high standards as well as within time and budget constraints.
Latest publications by Erich Schoberl
Multi-instrument multi-scale experimental damage mechanics for fibre reinforced composites
International Conference On Textile Composites (TEXCOMP-13), Milan, Italy, 17-19 September 2018
Mapping strains and fibre fracture in carbon fibre composites using in situ digital volume correlation
International conference on Composite Materials (ICCM-22), Melbourne, Australia, 12-16 August 2019
Fibre-direction strain measurement in a composite ply under quasi-static tensile loading using Digital Volume Correlation and in situ Synchrotron Radiation Computed Tomography
Composites Part A: Applied Science and Manufacturing, 2020