Dust Formation in Substellar Atmospheres: A Multi-Scale Problem

Author(s):  
Christiane Helling ◽  
Peter Woitke ◽  
Rupert Klein ◽  
Erwin Sedlmayr
2012 ◽  
Vol 126 ◽  
pp. 169-183 ◽  
Author(s):  
Kaizhi Zhang ◽  
Jun Ou Yang ◽  
Feng Yang ◽  
Jian Zhang ◽  
Yan Li

2020 ◽  
Vol 310 ◽  
pp. 00041
Author(s):  
Tomáš Krejčí ◽  
Aleš Jíra ◽  
Luboš Řehounek ◽  
Michal Šejnoha ◽  
Jaroslav Kruis ◽  
...  

Numerical modeling of implants and specimens made from trabecular structures can be difficult and time-consuming. Trabecular structures are characterized as spatial truss structures composed of beams. A detailed discretization using the finite element method usually leads to a large number of degrees of freedom. It is attributed to the effort of creating a very fine mesh to capture the geometry of beams of the structure as accurately as possible. This contribution presents a numerical homogenization as one of the possible methods of trabecular structures modeling. The proposed approach is based on a multi-scale analysis, where the whole specimen is assumed to be homogeneous at a macro-level with assigned effective properties derived from an independent homogenization problem at a meso-level. Therein, the trabecular structure is seen as a porous or two-component medium with the metal structure and voids filled with the air or bone tissue at the meso-level. This corresponds to a two-level finite element homogenization scheme. The specimen is discretized by a reasonable coarse mesh at the macro-level, called the macro-scale problem, while the actual microstructure represented by a periodic unit cell is discretized with sufficient accuracy, called the meso-scale problem. Such a procedure was already applied to modeling of composite materials or masonry structures. The application of this multi-scale analysis is illustrated by a numerical simulation of laboratory compression tests of trabecular specimens.


2015 ◽  
Vol 51 ◽  
pp. 2729-2733 ◽  
Author(s):  
Alexey Bezgodov ◽  
Andrey Karsakov ◽  
Aleksandr Zagarskikh ◽  
Vladislav Karbovskii

2016 ◽  
Vol 18 (46) ◽  
pp. 31744-31756 ◽  
Author(s):  
Crystal E. Valdez ◽  
Amanda Morgenstern ◽  
Mark E. Eberhart ◽  
Anastassia N. Alexandrova

Computational metalloenzyme design is a multi-scale problem.


2014 ◽  
Vol 695 ◽  
pp. 516-520
Author(s):  
Khairul Salleh Basaruddin

A stochastic analysis of multi-scale problem in honeycomb microstructure was introduced in this paper to determine the variation of macroscopic homogenized properties considering uncertainty of micro-property. By assuming the fluctuation of micro-property, specifically the Young's modulus, is in Gaussian normal distribution, the macroscopic (homogenized) properties was formulated in stochastic manner based on first order perturbation approach. Next, the macroscopic property of honeycomb microstructure considering the geometrical defect that might be occurred in manufacturing process was also predicted. The numerical results showed that even with minor geometrical defect could affect the macroscopic properties. It proved the essential of stochastic homogenization method in predicting the reliable macroscopic property for microstructure design.


2016 ◽  
Vol 727 ◽  
pp. 012007 ◽  
Author(s):  
Andrei Korobeinikov ◽  
Aleksei Archibasov ◽  
Vladimir Sobolev

2006 ◽  
Vol 55 ◽  
pp. 45-54 ◽  
Author(s):  
C F Clancy ◽  
M J A O'Callaghan ◽  
T C Kelly

2007 ◽  
Vol 91 (1-2) ◽  
pp. 58-80 ◽  
Author(s):  
Paul A. Ellis ◽  
Rae Mackay ◽  
Michael O. Rivett

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