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The morphology of graphene on non-developbale substrate

Submitted by Yuli Chen on Fri, 01/22/2016 - 03:40

The performances of graphene sheet in micro- and nano-electronics and devices are significantly affected by its morphology, which depends on the surface features of the supporting substrate. The substrates with non-developable convex or concave surface are widely used with graphene sheet in applications but rarely studied. Therefore, theoretical models are established based on energy analysis to explain the adhesion mechanisms and predict the morphology of the monolayer graphene sheet on non-developable surface.

how to simulate projectile motion using abaqus

Submitted by baijatnal on Wed, 01/20/2016 - 07:54

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I want to simulate a problem in which a ball placed over a spring plate or elastic plate is fired at an angle to travel maximum distance. Can anybody help me how to simulate this.I have the plates's height of 180mm and I need to find the angle and maximum distance of travel.
Suppose I have vertical Cantilever Plate(say 100mm height) with a ball in contact on the top and I apply a load of 100N to bend the two and release it from that bent position or angular position. I need to calculate the best angle of projection and maximum distance travelled. Can anybody help me now

Modeling of carbon nanotubes and carbon nanotube–polymer composites

Submitted by ghanshyampal78 on Sun, 01/17/2016 - 07:27

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Highlights

- In polymer matrix nanocomposites (PNC), carbon nanotubes (CNT) physically bond with polymeric matrix at a level where the assumption of continuum level interactions is not applicable.

- Modeling and prediction of mechanical response and failure behavior of CNTs and PNCs becomes a task involving up-scale modeling strategies with multiple spatial and temporal scales in hierarchical or concurrent manner.

Multiscale modeling of effective electrical conductivity of short carbon fiber-carbon nanotube-polymer matrix hybrid composites

Submitted by ghanshyampal78 on Sun, 01/17/2016 - 07:12

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Highlights

- A hierarchical modeling approach is presented to predict the electrical conductivity of hybrid composites.
- Influence of CNT content, anisotropic conductivity, percolation and interfacial resistance is studied.
- Effect of short carbon fiber (SCF) loading, conductivity anisotropy, aspect ratio, and orientation is also reported.

New Shear lock free finite elements

Submitted by psubbu2000 on Wed, 01/13/2016 - 15:20

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Dear All,

The Sardinia Radio Telescope: A comparison between close-range photogrammetry and finite element models

Submitted by Flavio Stochino on Wed, 01/13/2016 - 14:58

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Structural Engineering

computational mechanics

finite elements

astronomy

A paper on: Mathematical modeling of the overall time-dependent behavior of non-ageing viscoelastic reinforced composites.

Submitted by El Kouri mohamed on Tue, 01/12/2016 - 17:35

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Materials Forum

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Viscoelastic composites

convolution integrals

abstract:
New mathematical and numerical formulations are developed for effective time-dependent non ageing viscoelastic behavior of linear viscoelastic composites. The modeling is based on the dynamic Green's functions, integral equations, and Volterra product. The time concentration tensor is derived through numerical solution of the integral equation and the Mori-Tanaka micromechanical

Mesoscale Constitutive Modeling of Non-Crystallizing Filled Elastomer

Submitted by Ajay B Harish on Sat, 01/09/2016 - 20:47

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elastomeric materials

mullins effect

International Journal

We have just published a new paper, 1st in the series, that presents a computational model to understand the microstructural changes in the filled elastomers as a consequence of mechanical forces. A heterogeneous (or multiphase) constitutive model at the mesoscale explicitly considering filler particle aggregates, elastomeric matrix and their mechanical interaction through an approximate interface layer is presented. An innovative lego-set method is discussed for generation of random microstructures that can be used for simple stochastic analysis.

Extreme Multiscale Modeling - 53.8 Billion finite elements

Submitted by karelmatous on Sat, 01/09/2016 - 01:27

research

computational homogenization

multiscale modeling and simulation

High Performance Computing

In our recent Extreme Mechanics Letter, we present a simulation consisting of 53.8 Billion finite elements with 28.1 Billion nonlinear equations that is solved on 393,216 computing cores (786,432 threads). The excellent parallel performance of the computational homogenization solver is demonstrated by a strong scaling test from 4,096 to 262,144 cores.