Stavole, Martina

• 2012 – 2015  B. Sc. Civil and Environmental Engineering, University of Cassino and Southern Lazio, Italy
• 2015 – 2018  M.Sc. Civil Engineering, University of Cassino and Southern Lazio, Italy
• 2019 Researcher and teaching assistant, University of Cassino and Southern Lazio, Italy
• 2020 Doctoral candidate, Institute of Applied Dynamics, Friedrich-Alexander-Universität Erlangen-Nürnberg

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• Joint Training on Numerical Modelling of Highly Flexible Structures for Industrial Applications

  (Third Party Funds Single)

  Term: 2019-10-01 - 2023-09-30
  Funding source: EU - 8. Rahmenprogramm - Horizon 2020
  URL: https://thread-etn.eu
  Abstract

  Highly flexible slender structures like yarns, cables, hoses or ropes are essential parts of high-performance engineering systems. The complex response of such structures in real operational conditions is far beyond the capabilities of current modelling tools that are at the core of modern product development cycles.

  Addressing this requires a new generation of brilliant scientists. Marie Skłodowska-Curie funding of the THREAD project will bring together young mechanical engineers and mathematicians who will develop mechanical models and numerical methods for designing highly flexible slender structures, and support the development of future virtual prototyping tools for products where such structures have a key role in functional system performance. 

  THREAD is a unique network of universities, research organisations and industry which by addressing fundamental modelling problems will ultimately enable the field to better meet the needs of different industries. A group of 14 Early Stage Researchers (ESRs) will receive comprehensive training covering state-of-the-art research topics along the modeling of highly flexible slender structures for industrial applications  as well as valuable transferable skills. They will benefit from close cooperation with twelve industrial partner organisations implementing a comprehensive programme of research secondments and contributing their experience.

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Praktikum (PR)

• • Laboratory course Matlab