Skip to main content

Blog posts

New results on shock mitigation of MC gels to appear in JMPS

Submitted by D.Rittel on

This recently accepted paper, to appear in the Journal of the Mechanics and Physics of Solids, reports our detailed experiments on shock energy absorption of methylcellulose hydrogels. A phenomenological model is developed and validated that allows for a quantitative estimate of the attnuated signal as a function of the gel layer thickness and composition.

Scientific Paper

Submitted by mohammedlamine on

Hi All,

Please Find in this Post my Scientific Paper :

Numerical Analysis of Damage Zones in a Bridge

Mohammed Lamine MOUSSAOUI , Mohamed CHABAAT

International Journal of Structural Integrity, Emerald Publishing,

Volume 11, No. 1, pp. 1-12, 2020

Doi: https://doi.org/10.1108/IJSI-03-2019-0017

 

Best Regards

Journal Club for November 2020: Hydrogel Ionotronics: Principles, Materials and Applications

Submitted by canhui yang on

Hydrogel Ionotronics: Principles, Materials and Applications

Canhui Yang

Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology

Email: yangch [at] sustech.edu.cn (yangch[at]sustech[dot]edu[dot]cn)

 

1.     Introduction

Postdoc @AMOLF in Amsterdam: Smart Fluidic Circuits for Autonomous soft robots

Submitted by Johannes T.B. … on

In this PostDoc, you will study ways to replace the electronics currently needed to control soft robots by dedicated soft fluidic circuits that will control and power the soft robot. You will e.g. work on embedding smart fluidic circuits that contain soft fluidic sensors, and that harness nonlinear mechanics to allow for direct feedback with the environment. The ultimate aim of this research is to ‘cut the tethers’, and to use such fluidic circuits to have soft robots perform tasks autonomously.

PhD positions opening in Sun Group at Columbia University

Submitted by WaiChing Sun on

Dear colleagues,

We are looking for PhD students in the broad area of computational mechanics. Our project is specifically focused on applications of machine learning (deep reinforcement learning, graph neural network) for computational plasticity and damage of crystalline and granular materials. 

USA citizenship is highly preferred but exceptional cases will be considered. Candidates from underrepresented groups are encouraged to apply. 

Virtual Opening of 3DEXPERIENCE Education Center for Advanced Composites

Submitted by Wenbin Yu on

Where will the composites workforce of the future come from? The demand for and production of composites – these extremely versatile materials – is booming. Why? They offer lighter weight, higher strength, longer fatigue life and higher heat tolerance compared with other materials like aluminum, steel and titanium.

Postdoc position at University of Glasgow

Submitted by ankushaggarwal on

A one-year postdoc position is available in my Computational Biomechanics Research Group at the University of Glasgow. The project is aimed at combining image segmentation with biomechanical calculations and requires experience in scientific code development and nonlinear biomechanics.