Blog posts

Most soft materials resist volumetric changes much more than shape distortions. This experimental observation led to the introduction of the incompressibility constraint in the constitutive description of soft materials. The incompressibility constraint provides analytical solutions for problems which, otherwise, could be solved numerically only. However, in the present work, we show that the enforcement of the incompressibility constraint in the analysis of failure of soft materials can lead to somewhat non- physical results. 

A PhD Research Assistant position in Materials Science and Engineering is available. The research focuses on the computational modeling of elasto-plastic phase transitions in alloys. Applicants with a background or interest in this research field are preferred.

Interested applicants can send an email to lmushongera [at] unr.edu with the resume, cover letter, transcripts, GRE and TOEFL scores in attachment. The position is available for start in Spring 2020.

The Computational Mechanics and Physics Laboratory at Vanderbilt University is seeking a postdoctoral researcher interested in the area of ice sheet modeling and fracture mechanics of Antarctic ice shelves and glaciers. 

In this paper we present a methodology for reverse engineering of trabecular bone like architectures using multi-objective topology optimization. We then investigate the mechanical properties of the resulting network structures. Specifically, we show that structures optimized according to Wolff's law alone may be stiffest but they are also fragile.

Acta Mechanica Sinica (Volume 35, Issue 3, 2019 ) is online now !

Dear everyone!

The third issue in 2019 (Volume 35, Issue 3) of Acta Mechanica Sinica (AMS) is online now.

Welcome to this SCI-indexed journal http://ams.cstam.org.cn for rapid publication of your exciting results.

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I am looking for a highly motivated, hard working, and bright student to fill a fully funded MS/ PhD position in my research group (www.ndsu-dams.com). Candidates are expected to have strong background and/ or inclination for math, and coding. Course work or previous research experience in one or more of the following areas is a plus: artificial intelligence, continuum mechanics, numerical methods, finite element methods, analytical chemistry, computational material science, etc.