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Atomic-Scale Investigation on the Mechanical Behavior of Ultrathin Multilayers Under Shock Loading

Submitted by Nuwan Dewapriya on

Recent advances in microprojectile impact tests have opened a new route to explore the behaviors of nanomaterials under extreme dynamic conditions. For example, impact tests have revealed that the specific penetration energies of ultrathin polymer films are remarkably high compared to the energies of conventional protective materials. The current experimental techniques are, however, unable to elucidate some of the complex atomistic mechanisms associated with the penetration process, which can only be realized through atomistic simulations.

A Review of Damage, Void Evolution, and Fatigue Life Prediction Models

Submitted by cemalbasaran on

Our new review article [open acess] on damage, void evolution, and fatigue life prediction models. We tried to include everything done in the last 20 years. My apologies if we missed your work.
Metals | Free Full-Text | A Review of Damage, Void Evolution, and Fatigue Life Prediction Models (mdpi.com)

https://lnkd.in/dH9UtcC

On the Effect of Shear Loading Rate on Contact Area Shrinking in Adhesive Soft Contacts

Submitted by Antonio Papangelo on

Adhesion and, its interplay with friction, is central in several engineering applications involving soft contacts. Recently, there has been an incredible push towards a better understanding on how the apparent contact area evolves when a shear load is applied to an adhesive soft contact, both experimentally and theoretically. Although soft materials are well-known to exhibit rate-dependent properties, there is still a lack of understanding in how the loading rate could affect the contact area shrinking.

A micromechanics-based deep learning model for short fiber composites

Submitted by Mirkhalaf on

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 

Nanosleeves: Morphology transitions of infilled carbon nanotubes

Submitted by Fan Xu on

Morphology instability of substrate-supported carbon atomic layers can be harnessed to modulate physical properties and functions, which has drawn interesting attention. Curvature would be a critical factor affecting surface morphology and its stability characteristics. Infilled carbon nanotubes, that is to say carbon monolayers with curved geometry and infilled substrates, namely nanosleeves, widely exist in the literature and have many potential applications.