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PhD position on machine learning enhanced multi-scale modelling of textile composites at the University of Gothenburg

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

 

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Post yield response of amorphous polymers under different stress states

In this contribution, an elasto-viscoplastic constitutive model based on the single mode EGP (Eindhoven Glassy Polymer) model is proposed to describe the deformation behaviour of solid polymers subjected to finite deformations under different stress states. The material properties of the original model are determined and calibrated from a uniaxial compression-loading test. Then, several numerical examples under different stress states are presented to illustrate the limitations.

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RVE size determination

The definition of the size of the Representative Volume Element (RVE) is extremely important for the mechanics and physics of heterogeneous materials since it should statistically represent the micro-structure of the material. In the present contribution, a methodology based on statistical analysis and numerical experiments is proposed to determine the size of the RVE for heterogeneous amorphous polymers subjected to finite deformations.

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Polymer constitutive modelling: Formulation and computational aspects

  • This work formulates an elasto-viscoplastic model at finite strains.
  • A particularly efficient numerical integration algorithm is presented.
  • A closed-form analytical expression is derived for the consistent tangent operator.
  • The non-linear behaviour of polymers is captured in the numerical examples.
  • Quadratic rate of convergence is successfully achieved.
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EUROMECH Conference

13 - 16 September 2016, Porto, Portugal

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Plenary Speakers:

Prof. Wing K. Liu, Northwestern University

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EUROMECH Conference on Multi-uncertainty and Multi-scale Methods and Applications

EUROMECH Conference: MULTI-UNCERTAINTY AND MULTI-SCALE METHODS AND RELATED APPLICATIONS

13 September – 16 September 2016, Portugal

http://584.euromech.org/

The conference aims to:

(a) present the state-of-the-art in this field by showing the most recent developments by leading experts, and

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Journals

 

 

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Multiscale Material Modelling

Computational modelling of materials behaviour
is becoming a reliable tool to underpin scientific investigations and to
complement traditional theoretical and experimental approaches. In cases where
an understanding of the dual nature of the structure of matter (continuous when
viewed at large length scales and discrete when viewed at smaller length scales) and
its interdependences are crucial, multiscale materials modelling (MMM)

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