In our industry, equipment, including universal testing machines and grips and fixtures, are categorized by the maximum force capacity. We have generated an automatic load calculator to help calculate the required forces necessary to test a certain type of material. The calculator can be found here: https://www.admet.com/calculators/load-calculator/
To use the calculator:
1- Select the specimen geometry. Options include: rectangular, round, tubular, by area.
Amit Acharya Shankar Venkataramani
(In Materials Theory)
Growth processes in many living organisms create thin, soft materials with an intrinsically hyperbolic
geometry. These objects support novel types of mesoscopic defects - discontinuity lines
for the second derivative and branch points - terminating defects for these line discontinuities.
These higher-order defects move "easily", and thus confer a great degree of
flexibility to thin hyperbolic elastic sheets. We develop a general, higher-order, continuum mechanical framework
from which we can derive the dynamics of higher order defects in a thermodynamically consistent
manner. We illustrate our framework by obtaining the explicit equations for the dynamics
of branch points in an elastic body.
We are looking for a PhD student which is fully funded for EU/UK student.
The Division of Mechanics at Lund University, Sweden, invites highly motivated and creative applicants for a PhD position oriented towards multiscale modelling of yielding and failure of materials subjected to harsh conditions in energy applications (e.g. components in fusion reactors, battery components, etc.). The research program focuses on improving the understanding of the yielding and failure mechanisms, with the ultimate goal to develop atomistically-informed continuum-based theoretical and computational models to predict yielding and failure in energy materials.
The group on “Mechanics of soft and living interfaces” (https://www.lacan.upc.edu/mechanics-of-soft-and-living-interfaces/) lead by Marino Arroyo (https://www.lacan.upc.edu/arroyo/) is looking for a highly motivated and creative postdoctoral researcher to study the mechanical organization of epithelial cells and tissues, and how this understanding can lead to a precise control of tissue structure, mechanical properties, and dynamics.
We've recently published our new study about Uncertainty Quantification in Molecular Dynamics (MD) Simulations. Due to the selection of functional forms of interatomic potentials or the numerical approximation, MD simulations may predict different material behavior from experiments or other high-fidelity results. In this study, we used Stochastic Reduced Order Modeling (SROM) to achieve
(1) mechanical behavior of graphene predicted by MD simulations in good agreement with the continuum model which has been calibrated by experiments;
Composite materials are increasingly used in industry due to the possibility of tailoring their properties based on the applications. Their greatest advantage is strength and stiffness combined with lightness. However, their optimal design and performance is still limited by the lack of knowledge of physical mechanisms that control their fracture behavior. Machine learning and big data driven approaches have not been extensively studied for fracture behavior predictions.
