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
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.
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
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.
Thanks to Mechanics of Materials, here is a different way to look at viscoelasticity and Hooke's law.
Link:
https://www.sciencedirect.com/science/article/pii/S0167663621000922
Two surfaces are ”sticky” if breaking their mutual contact requires a finite tensile force. At low fractal dimensions D, there is consensus stickiness does not depend on the upper truncation frequency of roughness spectrum (or ”magnification”). As debate is still open for the case at high D, we exploit BAM theory of Ciavarella and Persson-Tosatti theory, to derive criteria for all fractal dimensions. For high D, we show that stickiness is more influenced by short wavelength roughness with respect to the low D case.
