Skip to main content

research

A finite element formuation for a direct approach to elastoplasticity in special Cosserat rods

Submitted by Ajeet Kumar on

A finite element formulation is presented for a direct approach to model elastoplastic deformation in slender bodies using the special Cosserat rod theory. The direct theory has additional plastic strain and hardening variables, which are functions of just the rod's arc-length, to account for plastic deformation of the rod. Furthermore, the theory assumes the existence of an effective yield function in terms of stress resultants, i.e., force and moment in the cross-section and cross-section averaged hardening parameters.

EML Webinar on October 28, 2020 on Multi-scale and Trans-scale Analysis in Particle-laden Turbulence

Submitted by Teng Li on

EML Webinar on 28 October 2020 will be given by Prof. Xiaojing Zheng, Lanzhou University. Discussion leader: Prof. Yujie Wei, Institute of Mechanics, Chinese Academy of Sciences.

Title: Multi-scale and Trans-scale Analysis in Particle-laden Turbulence

Time: 7 am California, 10 am Boston, 3 pm London, 10 pm Beijing on 28 October 2020

Global Composites Experts Webinar by Kevin Potter

Submitted by Wenbin Yu on

Title: Automating the lay-up of geometrically complex composite structures made from preimpregnated reinforcements: a route to a roadmap

Speaker: Dr. Kevin Potter

Time: 10/29, 11AM-12PM EST.

Please go to https://www.purdue.edu/cmsc/events/2020-webinars/ to register for this talk.

 

EML Webinar on October 14, 2020: Fluid dynamics of speech: Mechanisms underlying pathogen transmission

Submitted by Teng Li on

 

EML Webinar on 14 October 2020 will be given by Prof. Howard Stone, Princeton University; Manouk Abkarian and Simon Mendez, CNRS, France.

Title: Fluid dynamics of speech: Mechanisms underlying pathogen transmission

A predictive deep-learning approach for homogenization of auxetic kirigami metamaterials with randomly oriented cuts

Submitted by Jinxiong Zhou on

This paper describes a data-driven approach to predict mechanical properties of auxetic kirigami metamaterials with randomly oriented cuts. The finite element method (FEM)was used to generate datasets, the convolutional neural network (CNN) was introduced to train these data, and an implicit mapping between the input orientations of cuts and the output Young’s modulus and Poisson’s ratio of the kirigami sheets was established. With this input–output relationship in hand, a quick estimation of auxetic behavior of kirigami metamaterials is straightforward.

Architected Elastomer Networks for Optimal Electromechanical Response

Submitted by matthew.grasinger on

Dear Colleagues,

This is the preprint of an article on the design of elastomer networks for optimal electromechanical response that will appear in JMPS. We explore how various structural properties of an elastomer network (e.g. density of cross-links, fraction of loose-end monomers, orientation density of chains, etc.) affects both its bulk elastic and dielectric properties, and its performance as an actuator. (https://doi.org/10.1016/j.jmps.2020.104171).

 

NSF: Mechanics of Materials and Structures (MoMS) Program Listserv

Submitted by Siddiq Qidwai on

Dear US Academic Researchers,

If you want to get on to the announcement listserv dedicated to the Mechanics of Materials & Structures (MoMS) program at the National Sciecne Foundation, then perform this task:

Send an email to listserv [at] listserv.nsf.gov with the message

subscribe MOMS Full_Name

e.g., subscribe MoMS John Smith