PhD positions are available for DurAMat which is a Marie Skłodowska-Curie Actions - Doctoral Network (MSCA-DN) project. A total number of 11 PhD students will be hired for DurAMat. One PhD student will join us at the department of Physics of the University of Gothenburg in Sweden. The project details and the application process are described in the project website: http://duramat-project.eu/
A special issue on "Mechanics of 3D-Printed Polymers and Polymer Composites", is recently launched in the journal "Polymers". If your research is related to the topic, I would like to invite you to submit your latest research developments to the special issue. For more details and submitting your manuscript, please see:
If you are curious about application of machine learning techniques in mechanics problems, our latest paper is probably interesting for you. In this paper, we are proposing a micromechanics-based artificial neural networks model for short fiber composites. You can find the paper here: https://www.sciencedirect.com/science/article/pii/S1359836821001281
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.
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.
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.
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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