High Performance Computing MSc+Ph.D. position available at the University of Glasgow on Massively Parallel Brain Surgery Simulation with the extended finite element method (XFEM and FleXFEM)  (University of Glasgow) -- funding body is EPSRC.

One year MSc in HPC in Edinburgh (all costs covered by funding) + 3 year Ph.D.  and access to HecToR, one of the world's largest super-computer, including training with experts in massively parallel simulation (10,000+ processors).

Supervisor: Dr Stephane Bordas,Dr Lee Margetts (Manchester)

Collaborators: Prof. Ray Ogden and Prof. Gerhard Holzapfel

A postdoctoral associate position at MIT is available immediately, focused on elucidating the fundamental material science concepts that control the formation, behavior and in particular mechanical failure and fracture of fibrous amyloid protein materials. Amyloids form pathogens in diseases (Alzheimer’s, Parkinson’s), play a role in defining the properties of spider silk, and are found in many natural adhesives. These beta-sheet rich protein structures constitute an intriguing class of protein materials that self-assemble at room temperature to form characteristic hierarchical nanostructures and fibers, which combine exceptional strength and sturdiness, elasticity with bioactivity and the ability to self-heal. 

Hi all,

I'm trying to model a peel T test on a composite material composed of steel and polymer (polypropylen) on Abaqus 6.7. Between these parts, there are cohesive elements COH3D8.
I have a problem with my model and I don't understand it. You can visualize my results in attachs files.
For understand this draw, a few precisions:
The elements in white has just here to guide the materials.
In B (cf attachs files), the nodes are embedded.
In A I applied a velocity.
In C I applied rotation constraints and coupling constraints on all rotations and displacements.
My structure present a strange evolution in the red circle. I don't understand this.

Hello,

 I am looking for a job in applied mechanics in California, to start in or around July 2008.  I am trained (Ph.D.) in applied mathematics, modeling, and computational mechanics (of biological tissues), general continuum mechanics, constitutive modeling, and optimal control.  Greatly interested in dynamic modeling and analysis, stress / thermal analysis, and modeling problems related to design, e.g. medical devices.  Will be glad to be more involved in design.

 My CV, including my contact information, can be found at  http://math.uci.edu/~sadovsky/docs/cv-02-2008.pdf

 If seeking such candidates, please email me.  Thanks!

Dear Colleague,

We want to draw your attention to and encourage your participation in a special session on Multiscale Modeling and Simulation of the thirteenth Pacific Symposium on Biocomputing (PSB), to be held January 4-8, 2008, on the Big Island of Hawaii. PSB is an international, multidisciplinary conference with high impact on the theory and application of computational methods in problems of biological significance. 

Considering the MD (molecualr dynamics) simulation programs, they enable us to define the initial crack and then using different theories they propagate the crack. This process is actually a dynamic feature at least when the sample is going to fail. Here is the question that present in the most modellers assumptions, which will limit the simulation or maybe it is not possible to simulate the process with out these assumptions. One of them which I would like to know your ideas about is the linear velocity which come into conclusions before the simulations start. Actually is this linear velocity remains constant or increase with definite constant acceleration (rate) as crack propagates? I think the answer is No, so why we assume that this theory is accurate?

Companion web site http://micro.stanford.edu ISBN:0-19-852614-8, Hard cover, 304 pages, Nov. 2006, US $74.50.

This book presents a broad collection of models and computational methods - from atomistic to continuum - applied to crystal dislocations. Its purpose is to help students and researchers in computational materials sciences to acquire practical knowledge of relevant simulation methods. Because their behavior spans multiple length and time scales, crystal dislocations present a common ground for an in-depth discussion of a variety of computational approaches, including their relative strengths, weaknesses and inter-connections. The details of the covered methods are presented in the form of "numerical recipes" and illustrated by case studies. A suite of simulation codes and data files is made available on the book's website to help the reader "to learn-by-doing" through solving the exercise problems offered in the book. This book is part of an Oxford Series on Materials Modelling.