Cracks usually propagate dynamically that makes them so dangerous. However, most crack simulations are based on quasi-static analyses because they are simpler than the dynamic ones. Is it correct to use quasi-static analyses instead of the dynamic ones? Will the quasi-static and dynamic simulations provide similar results? We try to answer these questions in the present work. We compare results of quasi-static and dynamic simulations of crack propagation in aneurysm material.

The mechanism of drag reduction via polymer additives is long debated in the literature. We present results of 3D numerical simulations of the realistic pipe flow where material instabilities develop into turbulence. We observe in the simulations that the addition of the polymer solute suppresses the chaotic turbulent motion, indeed, in accordance with the experimental observations of the phenomenon.

 The  Multi-Scale Mechanics and Materials by Design Lab at Purdue University is seeking a highly motivated and talented individual to fill a postdoctoral research position in the field of biomimetic fiber-reinforced composites. This position offers a unique opportunity to work closely with Professor Zavattieri and collaborate with leading companies in the composites industry, focusing on a novel application of these materials.

We present a general formalism for the analysis of mechanical lattices with microstructure using the concept of effective dynamic mass. We first revisit a classical case of microstructure being modeled by a  spring-interconnected mass-in-mass cell. The frequency-dependent effective dynamic mass of the cell is the sum of a static mass and of an added mass, in analogy to that of a swimmer in a fluid. The effective dynamic mass is derived using three different methods: momentum equivalence, dynamic condensation, and action equivalence.

1 Ph.D. position (36 months) within the research activity related to the PI ERC Consolidator Grant "SFOAM" will be funded by and available at the University of Trento (Italy). 

The financial conditions offered with this Ph.D. position are in line with those of all Italian Ph.D. schemes, designed to be compatible with the cost of living in Italy, where medical care is free and accommodation costs are reasonable. 

Multiple postdoc and one PhD positions are open at Tsinghua University. The research will take place at Tsinghua University’s Shenzhen International Graduate School (SIGS), located in Shenzhen, China, and is partly sponsored by NSFC and Tsinghua SIGS’s scientific research startup funds.

Multiscale.Sim 2022R2 version is now available globally.

Multiscale.Sim is an add-in tool for the Ansys Workbench environment (it's also compatible with Ansys Mechanical APDL). It can help to predict materials behavior using virtual material testing without having to rely on costly and time-consuming physical testing all the time. The software includes a templates library to easily create microstructure of materials. It's available in English and Japanese UI.

The Multiscale Modeling of Materials and Machine Learning Laboratory (M4L Lab: https://www.m4l-lab.com/) at Villanova University is looking for two Ph.D. students. The successful applicants will work with Dr. David Cereceda on interdisciplinary research topics that involve Materials Informatics and Computational Mechanics. The positions start as early as Fall 2023. Evaluations will start immediately until the positions are filled. Please, see the description of each position below.

Position 1

Join the Ansys Customer Excellence team to partner with our customers to engineer what's ahead, solve their real-world engineering problems, deploy Ansys software in their design workflows, and grow Ansys’ business. As a hands-on subject matter expert, you will use expert-level engineering knowledge to provide technical advise, perform professional services, and help translate customer requirements into exciting new product features.

Our group in the Department of Mechanical and Industrial Engineering at New Jersey Institute of Technology (NJIT) is working on a range of problems, involving mechanics and physics of 2D materials, soft materials and biological systems. We employ methods of continuum mechanics, mathematics, statistical physics and atomistic simulations to explore the mechanics of 2D materials, electromechanical coupling in soft materials, as well as physical mechanisms underlying the interface of nanomaterials and biology.