Mechanics of Materials
Short description
We study the mechanics of micro-structurally heterogenous materials. Our main focus is to develop micro-mechanical and multi-scale models to predict complex behaviour of multi-phase materials, with an emphasis on (bio-)composites. We also use Machine Learning techniques, in particular Artificial Neural Networks, to increase the predictive capability and to enhance the computational efficiency of our developed models.
News
Master thesis defense
Johan Friemann, “Predicting the elasto-plastic response of short fiber composites using deep neural networks trained on micro-mechanical simulations”, February 11, 2021 (online) at 10:00.
Master thesis defense
Noah Mentges, “Micro-mechanical modelling of the effects of fibre length distributions on short fibre reinforced composites using orientation averaging”, December 16, 2020 (online) at 14:00.
Recent publications
- S.M. Mirkhalaf, E.H. Eggels, T.J.H. van Beurden, F. Larsson, M. Fagerström, (2020).
A finite element based orientation averaging method for predicting elastic properties of short fiber reinforced composites.
Composites, Part B: Engineering 202, 108388. - N. Mentges, B. Dashtbozorg, S.M. Mirkhalaf, (2021).
A micromechanics-based artificial neural networks model for elastic properties of short fiber composites.
Composites Part B: Engineering, 108736.
Members
Ehsan Ghane, PhD student, 12/2020 – Current
Thesis title: Deep learning enhanced multi-scale modelling of woven composites
Supervisor: Mohsen Mirkhalaf, Co-supervisor: Martin Fagerström (Chalmers), Examiner: Mattias Marklund
Mehrdad Saaedi, Master thesis, 11/2020 – Current
Thesis title: Predicting cancer tumor position in a liver using finite element analysis and artificial neural networks
Supervisor: Mohsen Mirkhalaf, Co-supervisor: Behdad Dashtbozorg (Netherlands Cancer institute/Eindhoven University of Technology), Examiner: Hirpa Gelgele Lemu (University of Stavanger)
Johan Friemann, Master thesis, 06/2020 – 02/2021
Thesis title: Predciting path dependent elasto-plastic behaviour of short fiber composites using micromechanics-based deep learning
Supervisor: Mohsen Mirkhalaf, Co-supervisor: Behdad Dashtbozorg (Netherlands Cancer institute/Eindhoven University of Technology), Examiner: Martin Fagerström (Chalmers)
Noah Mentges, Master internship project, 04/2020 – 06/2020
Project title: A micromechanics-based artificial neural network model for elastic properties of short fiber reinforced composites
Supervisor: Mohsen Mirkhalaf, Co-supervisor: Behdad Dashtbozorg (Netherlands Cancer institute/Eindhoven University of Technology)
Collaborations
Noah Mentges, Master thesis (Chalmers), 07/2020 – 12/2020
Thesis title: Micro-mechanical modelling of the effects of fibre lengthdistributions and fibre matrix debondingon short fibre reinforced composites using orientation averaging
Supervisor and Examiner: Martin Fagerström (Chalmers), Co-supervisor: Mohsen Mirkhalaf
Pouya Shahbazian, Bachelor thesis (University of Isfahan), 02/2020 – 10/2020
Thesis title: Experimental investigation and micro-mechanical modelling of the stiffness of short fiber composites
Supervisor: Mohammad Heidari-Rarani (University of Isfahan), Co-supervisor: Mohsen Mirkhalaf
Brian Castricum, Master internship project (Chalmers), 09/2019 – 01/2020
Project title: A hierarchical coupled multi-scale model for short fiber reinforced composites
Supervisor: Mohsen Mirkhalaf, Co-supervisors: Fredrik Larsson and Martin Fagerström (Chalmers)
Tom van Beurden, Master internship project (Chalmers), 02/2019 – 06/2019
Project title: Multi-scale modelling of short fiber composites via orientation averaging and using self-consistent interaction
Supervisor: Martin Fagerström (Chalmers), Co-supervisors: Mohsen Mirkhalaf and Fredrik Larsson (Chalmers)
Abhijith Anantharanga, Master thesis (Chalmers), 01/2019 – 09/2019
Thesis title: A comparative study on micro-mechanical models for short fiber composites
Supervisor: Mohsen Mirkhalaf, Examiner: Martin Fagerström (Chalmers)
Eva Eggels, Master internship project (Chalmers), 09/2018 – 12/2018
Project title: Modelling the mechanical behavior of short fiber composites via orientation averaging
Supervisor: Martin Fagerström (Chalmers), Co-supervisor: Mohsen Mirkhalaf