A Stochastic Approach on the Tear Behavior of Coated Fabrics With Interphase

Author(s):  
Wen Zhong ◽  
Ning Pan ◽  
David Lukas

A stochastic approach, the Ising model combined with Monte Carlo simulation, is employed to study the process of a tongue tear process of coated fabrics. The complicated mechanisms involved can be realistically simulated with a relatively simple algorithm. The important factors, especially the interphase between the coating and the fabric, influencing the tear behavior, formation and failure of the del-zone can be represented by the corresponding coefficients in an energy expression of the system. The results of parametric studies are in good qualitative agreement with the behavior of real systems, indicating the usefulness of this approach in the studies of similar interfacial phenomena.

Author(s):  
Subir K Das ◽  
Nalina Vadakkayil

For quicker formation of ice, before inserting inside a refrigerator, heating up of a body of water can be beneficial. We report first observation of a counterpart of this intriguing...


2005 ◽  
Vol 16 (04) ◽  
pp. 585-589 ◽  
Author(s):  
MUNEER A. SUMOUR ◽  
M. M. SHABAT

The existence of spontaneous magnetization of Ising spins on directed Barabasi–Albert networks is investigated with seven neighbors, by using Monte Carlo simulations. In large systems, we see the magnetization for different temperatures T to decay after a characteristic time τ(T), which is extrapolated to diverge at zero temperature.


1994 ◽  
Vol 05 (03) ◽  
pp. 547-560 ◽  
Author(s):  
P.D. CODDINGTON

Monte Carlo simulation is one of the main applications involving the use of random number generators. It is also one of the best methods of testing the randomness properties of such generators, by comparing results of simulations using different generators with each other, or with analytic results. Here we compare the performance of some popular random number generators by high precision Monte Carlo simulation of the 2-d Ising model, for which exact results are known, using the Metropolis, Swendsen-Wang, and Wolff Monte Carlo algorithms. Many widely used generators that perform well in standard statistical tests are shown to fail these Monte Carlo tests.


2019 ◽  
Vol 14 (19) ◽  
pp. 7165-7173
Author(s):  
F.F. Jurado-Lasso ◽  
N. Jurado-Lasso ◽  
J.S Baena-Vasquez ◽  
J.F. Jurado

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