Blog posts

Abstract: Advanced machine learning methods could be useful to obtain novel insights into some challenging nanomechanical problems. In this work, we employed artificial neural networks to predict the fracture stress of defective graphene samples. First, shallow neural networks were used to predict the fracture stress, which depends on the temperature, vacancy concentration, strain rate, and loading direction.

In this paper, we formulate a theory for the coupling of accretion mechanics and thermoelasticity. We present an analytical formulation of the thermoelastic accretion of an infinite cylinder and of a two-dimensional block.

Eight fully funded positions open for the "Digital Materials and Advanced Processes Modelling (MAPMOD)" Master.

MAPMOD is a one-year full-time postgraduated programme in line with industrial needs for high level competences in high added value components or equipment manufacturing in fields such as aeronautics, energy, automotive.

The funding covers tuition fees and partial support of living expenses.

Dear Colleagues,

As part of the IMECE 2020 (November 13-19, 2020, Portland, Oregon), we are organizing a topic on “Data-Enabled Predictive Modeling, Machine Learning, and Uncertainty Quantification in Computational Mechanics.” It is listed in Track 12: Mechanics of Solids, Structures, and Fluids: https://event.asme.org/IMECE/Program/Tracks-Topics.

Fracture mechanics is one of the key research topics in our field (of mechanics) and has a rather rich history of innovation and applications. From earth-quakes to air-planes---the mechanics underpinning the phenomenon of materials falling apart has been essential in the development of technology.  Griffith’s work on fracture was published about a 100 years ago and is often widely regarded as the start of modern fracture mechanics. The Century Fracture Mechanics Summit (CFMS), was held in Singapore on Apr.

Engineering ceramic/nanocomposite interfaces may lead to the development of ultra-tough ceramic nanocomposites. The novel processing method, as well as micromechanical interpretation of the above result, can be found here: https://doi.org/10.1016/j.carbon.2020.02.075

Christos E. Athanasiou

Numerical modeling of the impact during a fall on the human skeleton taking into account the variability between individuals

S. Thomas, A. Kulangara Madam, and M. Asle Zaeem. Stone-Wales defect induced performance improvement of BC3 monolayer for high capacity lithium-ion rechargeable battery anode applications. The Journal of Physical Chemistry C (2020) (10 pages). 

Modeling and numerical simulation of shockwaves in porous materials

A postdoctoral position is available immediately in the Laboratory of Microstructure Studies and Mechanics of Materials (LEM3) of the University of Lorraine (UL) in Metz, France.

Candidates must be self-starter and have a solid background in numerical simulation of high strain rate phenomena. The candidate must also be familiar with analytical approaches (continuum mechanics, plasticity, viscoplasticity, …).

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