A 2D CELLULAR AUTOMATA MODEL FOR TREE PROPAGATION IN NANOCOMPOSITES: INFLUENCE OF THE NANOPARTICLES SIZE, LOADING AND THE PRESENCE OF MICROVOIDS

NANO ◽  
2013 ◽  
Vol 08 (01) ◽  
pp. 1350002 ◽  
Author(s):  
DESPOINA PITSA ◽  
MICHAEL G. DANIKAS

Electrical tree propagation in a polymer nanocomposite is affected by the presence of nanoparticles. A 2D cellular automata (CA) model is presented for the simulation of electrical tree propagation in polymer nanocomposites. The effect of the nanoparticles size, the nanoparticles loading and the appearance of microvoids on electrical tree propagation in titania ( TiO2 )/epoxy nanocomposites under the application of DC voltage is examined with the aid of the CA model. It has been observed that the tree length is affected by nanoparticles size and nanoparticles loading. A resistance in electrical tree propagation has been noticed, as nanoparticles size decreases or as nanoparticles loading increases. The presence of microvoids in the polymer nanocomposite is another factor that has been examined. The propagation of electrical trees that initiate from microvoids in the polymer nanocomposite has also been simulated by the use of the CA model.

2007 ◽  
Vol 34 (4) ◽  
pp. 708-724 ◽  
Author(s):  
Daniel Stevens ◽  
Suzana Dragićević

This study proposes an alternative cellular automata (CA) model, which relaxes the traditional CA regular square grid and synchronous growth, and is designed for representations of land-use change in rural-urban fringe settings. The model uses high-resolution spatial data in the form of irregularly sized and shaped land parcels, and incorporates synchronous and asynchronous development in order to model more realistically land-use change at the land parcel scale. The model allows urban planners and other stakeholders to evaluate how different subdivision designs will influence development under varying population growth rates and buyer preferences. A model prototype has been developed in a common desktop GIS and applied to a rapidly developing area of a midsized Canadian city.


2021 ◽  
Vol 10 (3) ◽  
pp. 149
Author(s):  
Nuno Pinto ◽  
António P. Antunes ◽  
Josep Roca

Cellular automata (CA) models have been used in urban studies for dealing with land use change. Transport and accessibility are arguably the main drivers of urban change and have a direct influence on land use. Land use and transport interaction models deal with the complexity of this relationship using many different approaches. CA models incorporate these drivers, but usually consider transport (and accessibility) variables as exogenous. Our paper presents a CA model where transport variables are endogenous to the model and are calibrated along with the land use variables to capture the interdependent complexity of these phenomena. The model uses irregular cells and a variable neighborhood to simulate land use change, taking into account the effect of the road network. Calibration is performed through a particle swarm algorithm. We present an application of the model to a comparison of scenarios for the construction of a ring road in the city of Coimbra, Portugal. The results show the ability of the CA model to capture the influence of change of the transport network (and thus in accessibility) in the land use dynamics.


2005 ◽  
Vol 12 (1) ◽  
pp. 83-90
Author(s):  
R. Šiugždaite

The development of regional urban system still remains one of the main problems during the human race history. There are a lot of problems inside this system like overcrowded cities and decaying countryside. All these situations can be reproduced by modelling them using Cellular Automata (CA) [1, 2, 5]. CA models implement algorithms with simple rules and parameter controls, but the result can be a complex behaviour. A stability of naturally formed self‐organized urban system depends on its critical state parameter τ in the power law log(f(x)) = ‐τlog(x). If the system reaches self‐organized critical (SOC) state then it remains in it for a long time. The CA model URBACAM (URBAnistic Cellular Automata Model) describes the long‐lasting term behaviour and shows that the change in behaviour is sensitive to the urban parameter τ of the power law. Regionines urbanistines sistemos vystymasis išlieka viena iš opiausiu problemu žmonijos istorijoje. Keletas tokiu uždaviniu kaip miestu perpildymas, nykstančios kaimo vietoves ir t.t. gali būti nesunkiai modeliuojami naudojant lasteliu automatus (LA). LA metodas ypatingas tuo, kad realizuoja algoritma paprastu taisykliu bei parametru valdymo pagalba, tačiau rezultate galima gauti sudetinga elgsena. Natūraliai susiformavusiu urbanistiniu sistemu stabilumas priklauso nuo sistemos krizines savirangos būsenos (KSB) parametro τ. Jei sistema pasiekia KSB, tai ji ilga laika išlieka joje. LA modelis URBACAM charakterizuoja ilgalaike elgsena ir parodo, jog modelyje jos kitimus itakoja eksponentinio desnio urbanistinis parametras τ.


2013 ◽  
Vol 27 (13) ◽  
pp. 1350090 ◽  
Author(s):  
YUAN XUE ◽  
YONG-SHENG QIAN ◽  
XIAO-PING GUANG ◽  
JUN-WEI ZENG ◽  
ZHI-LONG JIA ◽  
...  

With the application of the dynamic control system, Cellular Automata model has become a valued tool for the simulation of human behavior and traffic flow. As an integrated kind of railway signal-control pattern, the four-aspect color light automatic block signaling has accounted for 50% in the signal-control system in China. Thus, it is extremely important to calculate correctly its carrying capacity under the automatic block signaling. Based on this fact the paper proposes a new kind of "cellular automata model" for the four-aspect color light automatic block signaling under different speed states. It also presents rational rules for the express trains with higher speed overtaking trains with lower speed in a same or adjacent section and the departing rules in some intermediate stations. In it, the state of mixed-speed trains running in the section composed of many stations is simulated with CA model, and the train-running diagram is acquired accordingly. After analyzing the relevant simulation results, the needed data are achieved herewith for the variation of section carrying capacity, the average train delay, the train speed with the change of mixed proportion, as well as the distance between the adjacent stations.


2011 ◽  
Vol 56 (2) ◽  
pp. 523-532 ◽  
Author(s):  
D. Kuc ◽  
J. Gawąd

Modelling of Microstructure Changes During Hot Deformation Using Cellular AutomataThe paper is focused on an application of the cellular automata (CA) method to description of microstructure changes in continuous deformation condition. The model approach consists of Cellular Automata model of microstructure development and the thermal-mechanical finite element (FE) code. Dynamic recrystallization phenomenon is taken into account in 2D CA model which takes advantage of explicit representation of microstructure, including individual grains and grain boundaries. Flow stress is the main material parameter in mechanical part of FE and is calculated on the basis of average dislocation density obtained from the CA model. The results obtained from the model were validated with the experimental data. In the present study, austenitic steel X3CrNi18-10 was investigated. The examination of microstructure for the initial and final microstructures was carried out, using light microscopy, transmission electron microscopy and EBSD technique. Compression forces were recorded during the tests and flow stresses were determined using the inverse method.


2015 ◽  
Vol 651-653 ◽  
pp. 581-586 ◽  
Author(s):  
Mateusz Sitko ◽  
Łukasz Madej ◽  
Maciej Pietrzyk

Development and validation of the micro scale cellular automata (CA) model of dynamic recrystallization (DRX) were the main goals of the present paper. Major assumptions of the developed CA DRX model, which is based on the Digital Material Representation (DMR) concept, are described. Parameters like neighborhood type, state and internal variables of the proposed model and their influence on final results are presented and discussed. Particular attention was put on description of the developed transition rules used to replicate mechanisms leading to dynamic recrystallization. Finally, obtained results in the form of flow stress curves are compared with the experimental predictions.


Author(s):  
N. Mahdizadeh Gharakhanlou ◽  
M. S. Mesgari

Abstract. The rainfall-runoff process is one of the central aspects of hydrology. In the rainfall-runoff process, the fast accumulation of rainwater in the catchments and rivers may lead to a flood disaster. To prevent and manage such disasters, it is essential to model and simulate the runoff process. The cellular automata (CA) is a computational model that can represent and simulate complex and dynamic natural phenomena. The main objective of this research is to develop a CA model of the rainfall-runoff process and to use it for simulating and representation of the runoff in the Babol catchment. The study is carried out in two main steps. First, several data manipulation and analyses in ArcGIS 10.3 software are used to prepare the input data of the CA model. In the second step, the CA model is developed and implemented in the NetLogo 6.0.4 platform. The total amount of runoff in each cell during the year 2016 was calculated and presented as the output of the model. A map of the total generated runoff can be an important tool for flood management decision-makers and it can also be used for managing the catchment and assessing the water resources in the study area.


2011 ◽  
Vol 399-401 ◽  
pp. 1755-1762
Author(s):  
Jing Liu ◽  
Zi Li Li ◽  
Zhi Shuan Cao

Corrosion perforation in the oil-tank bottom is one of the most damaging mechanisms in oil-tanks. This paper presents a two-dimentional cellular automata model which simulates the corrosion perforation in the oil-tank bottom. According to the mechanism of metal corrosion in the oil-tank bottom, the CA model which simulates the electrochemical reactions and diffusion steps of pitting corrosion is proposed. With a series of simulation, the results show that CA is a powerful approach to model corrosion perforation in the oil-tank bottom, which could be of practical importance in predicting the security of oil-tanks.


Author(s):  
Sridhar Alapati ◽  
M. Joy Thomas

This paper presents a study of electrical treeing phenomena in polymer nanocomposites. The polymer nanocomposite studied consists of epoxy resin as base polymer and silica as nano filler. Treeing experiments were performed at a constant ac voltage of 20kV, 50Hz on epoxy samples without any fillers as well as epoxy silica nano composites with 1% by weight of nano silica. Times for tree inception as well as tree growth patterns were studied. The results show that addition of small amount (1% by weight) of nano silica particles in epoxy resin can improve the treeing resistance by delaying the tree inception time as well as the time required by the tree to reach the opposite electrode. Treeing phenomena has been analyzed and interpreted by a physical model to explain the behavior in nanocomposites. The nature of bonding at the interface between epoxy and nano filler is characterized by using FTIR spectrometry. It has been shown that the type of bonding at the interface has an influence on the electrical tree growth pattern.


2014 ◽  
Vol 4 (4) ◽  
pp. 662-668 ◽  
Author(s):  
V. A. Kioussis ◽  
M. Danikas ◽  
D. D. Christantoni ◽  
G. E. Vardakis ◽  
Α. Bairaktari

Epoxy resin and mica sheets consist the essential insulation of rotating machine stator bars. Such an insulation, although very resistant to partial discharges, is subjected to considerable electrical stresses and consequently electrical trees may ensue. In this paper, an effort is  made to simulate electrical tree propagation in multiple epoxy resin/mica sheets with the aid of Cellular Automata (CA). An attempt to compare the simulation results with experimental results is also made.


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