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Multiscale analysis

Electroelasticity of polymer networks

This work introduces a new microscopically-motivated model for the electromechanical response of elastomers:

http://ac.els-cdn.com/S0022509615303525/1-s2.0-S0022509615303525-main.pdf?_tid=1db1e302-202a-11e6-8a60-00000aacb361&acdnat=1463927774_d9ad1fa74b5b42fafcb28a8b6b2c9b60

The merit of this novel model is demonstrated in the following paper

Looking for Research/Postdoc Opportunity.

Dear Fellow Members,

 

I am currently pursuing my PhD research under the supervision of Prof. Ralf Müller at the Institute for Applied Mechanics, TU Kaiserslautern, Germany. I have submitted my dissertation on October 2014. And expecting to defend my PhD work on March, 2015.

 

Julian J. Rimoli's picture

Call for Abstracts: "Advances in Computational Methods for Heterogeneous Materials"

As part of the 13th US National Congress on Computational Mechanics to be held in San Diego, CA, on July 26-30 2015, it is our pleasure to invite you to submit an abstract to the Symposium “Advances in Computational Methods for Heterogeneous Materials”.

Shailendra's picture

Minisymposium on "Materials for Extreme Environments: Multi-Scale Experiments and Simulations", SES Annual Meeting (July 28-31

We cordially invite you to participate in the minisymposium "Materials for Extreme Environments: Multi-Scale Experiments and Simulations" at the 50th Society of Engineering Science Annual Technical Meeting (http://www.brown.edu/Conference/ses2013/). The Meeting will be held at Brown niversity, RI, USA during July 28-31, 2013.

Postdoctoral Fellowship at Northwestern University in Stochastic Multiscale Analysis and Design

We are seeking applicants for a Postdoctoral Fellowship in “stochastic multiscale analysis and design” in the Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA. Applicants are expected to have expertise in the following areas: solid mechanics, uncertainty quantification, finite element modeling, and engineering optimization. The candidate is expected to have a strong background in statistical analysis. Prior experience with material microstructure characterization via image processing, and model uncertainty quantification is preferred.

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