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Mechanics of Materials

Research group

Short description

Mechanics of micro-structurally heterogeneous materials is investigated in this group. We develop micro-mechanical and coupled multi-scale models to predict complex behaviour of multi-phase materials, with an emphasis on (bio-)composites. To increase the predictive capability and to enhance the computational efficiency of the models, we use machine learning techniques, in particular artificial neural networks.

We also employ physics-based models (using continuum mechanics and finite element method) and machine learning techniques to develop real-time applications to predict deformation behavior of an organ during surgery, particularly when large deformations are involved. These tools provide connections between pre-operative anatomical models and intraoperative data.

News

Special issue in the journal “Polymers”

Topic: Mechanics of 3D-Printed Polymers and Polymer Composites.
Guest editors: Mohsen Mirkhalaf and Mohammad Heidari-Rarani. 
Deadline for manuscript submissions: March 20, 2022.

Master thesis presentation

Mehrdad Saaedi, “Predicting cancer tumor position in a liver using finite element analysis and artificial neural networks”, July 16, 2021 (online) at 10:00.

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

Two different probability distribution functions of short fibers represented on a unit sphere.
Two different probability distribution functions of short fibers represented on a unit sphere.
Displacement fields on a liver finite element model subjected to two different loading conditions.
Displacement fields on a liver finite element model subjected to two different loading conditions.
An RVE of a short fiber reinforced composite and its spatial discretization
An RVE of a short fiber reinforced composite and its spatial discretization.

Members

Ehsan Ghane, PhD student, 12/2020 – Present

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 – 06/2021

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

Robert Auenhammer, PhD student (Chalmers), 02/2021 – Present

Project: Carbon-fibre composite: Three-dimensional structure determination as input for micro-mechanical modelling

Ali Davari, Master thesis (Isfahan University of Technology), 09/2021 – Present

Thesis title: Using micromechanics and deep learning for designing short fiber reinforced composites
Supervisors: Mohammad Mashayekhi (Isfahan University of Technology) and Mohsen Mirkhalaf

Emilio Haumahu, Bachelor thesis (Eindhoven University of Technology), 09/2021 – Present

Thesis title: Investigating in-situ properties of natural fiber reinforced polymer matrix composites
Supervisor: Johan Hoefnagels (Eindhoven University of Technology), Co-supervisor: Mohsen Mirkhalaf

Hélène Latty, Master internship project (Chalmers), 08/2021 – Present

Project title: Short fiber bio-composites: manufacturing, testing and modelling
Supervisor: Giada Lo Re (Chalmers), Co-supervisor: Mohsen Mirkhalaf

Ramin Saberi, Master thesis (Isfahan University of Technology), 02/2021 – Present

Thesis title: Physics-informed deep learning modelling of the non-linear behavior of short fiber reinforced composites
Supervisors: Mohammad Mashayekhi (Isfahan University of Technology) and Mohsen Mirkhalaf

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