multi-scale modelling

Details:

Full description & contact: see attached document
University & laboratory: University of Lyon, Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Nationale des Travaux Publics de l'Etat (ENTPE), Géomatériaux et Constructions Durables (GCD).
Location: Lyon, France
Period: 4-year China Scholarship Council scholarship application

Context:

Details:

Full description & contact: see attached document
University & laboratory: University of Lyon, Laboratoire de Tribologie et Dynamique des Systèmes (LTDS), Ecole Nationale des Travaux Publics de l'Etat (ENTPE), Géomatériaux et Constructions Durables (GCD).
Location: Lyon, France
Period: 4-year China Scholarship Council scholarship application

Context:

We have an open PhD position on machine learning enhanced multi-scale modelling of textile composites. The following link provides more information about the project, and the details of the application process. Please keep in mind that only applications sent through the online application system will be evaluated.

Description of the PhD project, and how to apply

The core idea of this fundamental research project is to develop a consistent multi-scale modelling framework for fatigue damage in unidirectionally reinforced composites. Three scales are distinguished: (i) the micro-scale, where individual fibre filaments are arranged in a polymer matrix.

Nowadays, there is an increasing interest to use composite materials in automotive applications, in particular the use of fibre-reinforced plastics (carbon or glass fibres in a polymer matrix) is widely considered. The use of lighter materials, and hence a reduced fuel consumption, can be one of the possible solutions for reduced CO2 emissions. As the automotive industry is mainly familiar with metals and plastics, a lot of research is being spent on the mechanical response of composites under fatigue and impact loading, and on developing new design methodologies for these "new" materials.