Cellular Automata-based computational library for development of digital material representation models of heterogenous microstructures

AbstractThe development of an efficient numerical approach for the generation of a wide range of heterogeneous microstructures models with the application of the lean workflow concept is presented in the paper. First, the idea and implementation details of the developed cellular automata-based computational library allowing the development of digital material representation models within a workflow are presented in the paper. Such an approach provides the desired flexibility in the generation of various digital models of heterogenous microstructures. Therefore, the proposed library is mostly implemented within the object-oriented C + + programming language with the assumption of modularity. In this case, the main part of the application consists of classes and methods, which can be treated like base elements to be inherited and extended in other libraries. Each additional dynamic link library implements particular algorithms for the generation of specific microstructure features in the digital model within the unified data structures that allow the application of the workflow concept. The set of developed libraries and their assumptions are described as case studies to show the capabilities of the presented solution. Finally, examples of practical applications of the developed library in the full-field numerical simulations of complex material deformation are presented at the end of the paper.

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BLOCK CIPHERS ON THE BASIS OF REVERSIBLE CELLULAR AUTOMATA

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska ◽

10.35784/iapgos.919 ◽

2020 ◽

Vol 10 (1) ◽

pp. 8-11

Author(s):

Yuliya Tanasyuk ◽

Petro Burdeinyi

Keyword(s):

Cellular Automata ◽

Block Cipher ◽

Key Generation ◽

One Dimensional ◽

C Programming Language ◽

C Programming ◽

Shared Secret ◽

Reversible Cellular Automata ◽

The Given ◽

First Time

The given paper is devoted to the software development of block cipher based on reversible one-dimensional cellular automata and the study of its statistical properties. The software implementation of the proposed encryption algorithm is performed in C# programming language in Visual Studio 2017. The paper presents specially designed approach for key generation. To ensure desired cryptographic stability, the shared secret parameters can be adjusted to contain information needed for creating substitution tables, defining reversible rules, and hiding final data. For the first time, it is suggested to create substitution tables based on iterations of a cellular automaton that is initialized by the key data.

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Development of a simulation model of energy-saving system based on CCGT-110 and ABСM for energy and thermodynamic analysis

Herald of Dagestan State Technical University Technical Sciences ◽

10.21822/2073-6185-2021-48-3-6-15 ◽

2021 ◽

Vol 48 (3) ◽

pp. 6-15

Author(s):

L. V. Galimova ◽

D. Z. Bayramov

Keyword(s):

Simulation Model ◽

Energy Saving ◽

Thermodynamic Analysis ◽

Simulation Modeling ◽

Nonlinear Approximation ◽

C Programming Language ◽

Wide Range ◽

C Programming ◽

Scale Experiment ◽

Manual Calculation

Objectives. Simulation modeling is increasingly being used for the study of complex economic, technical, biological, etc. systems. Such systems are characterized by multifactorial relationships of their functioning, nonlinear dependencies between system elements and stochasticity of their parameters, etc. The purpose of this work is to develop a simulation model based on the C# programming language for the energy-saving CCGT-110 and ABCM system based on the results of manual analysis according to the data of a full-scale experiment.Method. Methods of linear and nonlinear approximation, methods of energy and thermodynamic analysis, as well as methods of mathematical simulation modeling are used to develop the simulation model.Result.The result of this work is the developed software SAESS 3.0, which allows you to analyze the operation of the CCGT-110 and ABCM systems together and separately in a wide range of parameters and in real time. Conclusion.To assess the adequacy of the developed program, a comparative analysis of software and manual calculation was carried out. Deviations do not exceed an average of 3 %, which confirms the reliability of the simulation model.

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Managing Recurrent Congestion of Subway Network in Peak Hours with Station Inflow Control

Journal of Advanced Transportation ◽

10.1155/2018/6931025 ◽

2018 ◽

Vol 2018 ◽

pp. 1-16 ◽

Cited By ~ 2

Author(s):

Qingru Zou ◽

Xiangming Yao ◽

Peng Zhao ◽

Fei Dou ◽

Taoyuan Yang

Keyword(s):

Large Scale ◽

Practical Applications ◽

C Programming Language ◽

Passenger Flow ◽

Assignment Model ◽

C Programming ◽

Subway System ◽

And Control ◽

Internal Relationship

Station inflow control (SIC) is an important and effective method for reducing recurrent congestion during peak hours in the Beijing, Shanghai, and Guangzhou subway systems. This work proposes a practical and efficient method for establishing a static SIC scheme in normal weekdays for large-scale subway networks. First, a traffic assignment model without capacity constraint is utilized to determine passenger flow distributions on the network. An internal relationship between station inflows and section flows is then constructed. Second, capacity bottlenecks are identified by considering the transport capacity of each section. Then, a feedback-based bottleneck elimination strategy is established to search target control stations and determine their control time and control strength. To validate the effectiveness of the proposed approach, a decision support system coded in the C# programming language was developed, and the Beijing subway was used as a case study. The results indicate that the proposed method and tool are capable of practical applications, and the generated SIC plan has better performance over the existing SIC plan. This study provides a practical and useful method for operation agencies to construct SIC schemes in the subway system.

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Appraising and developing ST-X field determination of uncertainties by DST analysis

Science and Technology Development Journal ◽

10.32508/stdj.v19i1.502 ◽

2016 ◽

Vol 19 (1) ◽

pp. 27-34

Author(s):

Hung Viet Vu ◽

Lan Cao Mai

Keyword(s):

Numerical Approach ◽

Low Permeability ◽

Full Field ◽

Field Development ◽

Wide Range ◽

Drilling Cost ◽

Project Objectives ◽

Flow Boundaries ◽

The Impact

A subsurface uncertainties is a possible future event, which, if occurs, would affect project objectives either negatively or positively. For any given model or event, the uncertainty is the range of variation of the component parts and possible outcomes. It could be quantified approximately by either analytical model or in a more cumbersome one such as numerical approach. This paper summarizes thedetermination ofuncertainties by DST analysis in appraising and developing the ST-X gas condensate field, which is offshore Vietnam in Block 15-1O. Drill Stem Test (DST) results show that the S field has moderate to low permeability, multiple flow boundaries/barriers, and at least 2 PVT regions. To understand the impact of these and other important reservoir parameters on ultimate gas and condensate recovery and well count, the uncertainties has to be well evaluated and understood. The study demonstrates that there is a wide range of possible ultimate gas and condensate recoveries and well counts. The top causes for this wide range are permeability and flow boundaries/barriers. In addition to the subsurface risks, drilling cost of a ST-X well is very high. The high well cost in combination with the field being offshore, having low permeability and possibly numerous reservoir compartments dramatically increase the risk of a full field development.

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Scaling Scientific Cellular Automata Microstructure Evolution Model of Static Recrystallization toward Practical Industrial Calculations

Materials ◽

10.3390/ma14154082 ◽

2021 ◽

Vol 14 (15) ◽

pp. 4082

Author(s):

Mateusz Sitko ◽

Krzysztof Banaś ◽

Lukasz Madej

Keyword(s):

Cellular Automata ◽

High Performance Computing ◽

Microstructure Evolution ◽

High Performance ◽

Static Recrystallization ◽

Full Field ◽

Practical Applications ◽

Grain Boundary Mobility ◽

Computation Scheme ◽

Performance Computing

An attempt to bridge the gap between capabilities offered by advanced full-field microstructure evolution models based on the cellular automata method and their practical applications to daily industrial technology design was the goal of the work. High-performance parallelization techniques applied to the cellular automata static recrystallization (CA-SRX) model were selected as a case study. Basic assumptions of the CA-SRX model and developed modifications allowing high-performance computing are presented within the paper. Particular attention is placed on the development of the parallel computation scheme allowing numerical simulations even for a large volume of material. The development of new approaches to handle communication within the distributed environment is also addressed in the paper as a means to obtain higher computational efficiency. Evaluation of model limits was based on the scalability analysis. The investigation was carried out for the 3D and 2D case studies. Therefore, the complex static recrystallization cellular automata simulation taking into account the influence of recovery, nucleation based on accumulated energy, and the progress of recrystallization as a function of stored energy and grain boundary mobility with high-performance computing capabilities is now possible. The research highlighted that parallelization is more effective with an increasing number of cellular automata cells processed during the entire simulation. It was also proven that the developed parallelization scheme and communication mechanism provides a possibility of obtaining scaled speedup over 700 times for 2D and over 800 times for 3D computational domains, which is crucial for future applications in industrial practice. Therefore, the presented approach’s main advantage is based on the possibility of running the calculation based on input data obtained directly from high-resolution 3D imaging of the microstructure. With that, the full immersion of the experimental results into the numerical model is possible. The second novelty aspect of this work is related to the identification of the quality of model predictions as a function of model size reductions.

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Strain localisation and dynamic recrystallisation in the ice-air aggregate: A numerical study

10.5194/tc-2016-167 ◽

2016 ◽

Cited By ~ 1

Author(s):

Florian Steinbach ◽

Paul D. Bons ◽

Albert Griera ◽

Daniela Jansen ◽

Maria-Gema Llorens ◽

...

Keyword(s):

Numerical Study ◽

Numerical Approach ◽

Second Phase ◽

Strain Localisation ◽

Time Resolved ◽

Full Field ◽

First Results ◽

Dynamic Recrystallisation ◽

Heterogeneous Microstructures ◽

Heterogeneous Deformation

Abstract. We performed numerical simulations on the micro-dynamics of ice with air inclusions as a second phase. This provides first results of a numerical approach to model dynamic recrystallisation in polyphase crystalline aggregates. Our aim was to investigate the rheological effects of air inclusions and explain the onset of dynamic recrystallisation in the permeable firn. The simulations employ a full field theory crystal plasticity code coupled to codes simulating dynamic recrystallisation processes and predict time-resolved microstructure evolution in terms of lattice orientations, strain distribution, grain sizes and grain boundary network. Results show heterogeneous deformation throughout the simulations and indicate the importance of strain localisation controlled by air inclusions. This strain localisation gives rise to locally increased energies that drive dynamic recrystallisation and induce heterogeneous microstructures that are coherent with natural firn microstructures from EPICA Dronning Maud Land ice coring site in Antarctica. We conclude that although overall strains and stresses in firn are low, strain localisation associated with locally increased strain energies can explain the occurrence of dynamic recrystallisation.

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Development of the Modified Cellular Automata Sphere Growth Model for Creation of the Digital Material Representations

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.611-612.489 ◽

2014 ◽

Vol 611-612 ◽

pp. 489-496 ◽

Cited By ~ 3

Author(s):

Łukasz Madej ◽

Kamil Pasternak ◽

Joanna Szyndler ◽

Wojciech Wajda

Keyword(s):

Genetic Algorithm ◽

Cellular Automata ◽

Growth Model ◽

Texture Evolution ◽

Experimental Measurements ◽

Algorithm Optimization ◽

Practical Applications ◽

Digital Material ◽

Grain Growth Model ◽

The Subject

Development of reliable algorithm for generation of statistical representations of microstructure morphologies is the subject of the present work. The implemented cellular automata sphere growth model is presented first. Obtained grain size distribution of digital microstructure is compared with experimental measurements to prove efficiency of the proposed algorithm. Then, the grain growth model was additionally combined with the genetic algorithm optimization to extend its microstructure generation capabilities. Finally, possibilities of practical applications of generated digital material representation for modelling texture evolution during channel die test is presented.

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Parallel Implementation of Numerical Solution of Few-Body Problem Using Feynman’s Continual Integrals

EPJ Web of Conferences ◽

10.1051/epjconf/201817305011 ◽

2018 ◽

Vol 173 ◽

pp. 05011

Author(s):

Mikhail Naumenko ◽

Viacheslav Samarin

Keyword(s):

Body Problem ◽

Parallel Implementation ◽

Oscillatory System ◽

C Programming Language ◽

Nvidia Cuda ◽

Protons And Neutrons ◽

Cuda Technology ◽

Wide Range ◽

C Programming ◽

Exactly Solvable

Modern parallel computing algorithm has been applied to the solution of the few-body problem. The approach is based on Feynman’s continual integrals method implemented in C++ programming language using NVIDIA CUDA technology. A wide range of 3-body and 4-body bound systems has been considered including nuclei described as consisting of protons and neutrons (e.g., 3,4He) and nuclei described as consisting of clusters and nucleons (e.g., 6He). The correctness of the results was checked by the comparison with the exactly solvable 4-body oscillatory system and experimental data.

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A New Detector System For The HB5 Stem Instrument

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100117674 ◽

1985 ◽

Vol 43 ◽

pp. 134-135

Author(s):

J.M. Cowley

Keyword(s):

Dark Field ◽

Detector System ◽

Electron Holography ◽

Small Specimen ◽

Bright Field ◽

Multiple Images ◽

Practical Applications ◽

Wide Range ◽

Diffraction Patterns ◽

Operational Modes

The HB5 STEM instrument at ASU has been modified previously to include an efficient two-dimensional detector incorporating an optical analyser device and also a digital system for the recording of multiple images. The detector system was built to explore a wide range of possibilities including in-line electron holography, the observation and recording of diffraction patterns from very small specimen regions (having diameters as small as 3Å) and the formation of both bright field and dark field images by detection of various portions of the diffraction pattern. Experience in the use of this system has shown that sane of its capabilities are unique and valuable. For other purposes it appears that, while the principles of the operational modes may be verified, the practical applications are limited by the details of the initial design.

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Ring-Forming Polymerization toward Perfluorocyclobutyl and Ortho-Diynylarene-Derived Materials: From Synthesis to Practical Applications

Materials ◽

10.3390/ma14061486 ◽

2021 ◽

Vol 14 (6) ◽

pp. 1486

Author(s):

Eugene B. Caldona ◽

Ernesto I. Borrego ◽

Ketki E. Shelar ◽

Karl M. Mukeba ◽

Dennis W. Smith

Keyword(s):

Chemical Resistance ◽

Structural Features ◽

Review Article ◽

Aryl Ether ◽

Aromatic Rings ◽

Practical Applications ◽

Repeat Units ◽

Wide Range ◽

Synthetic Routes ◽

The Cost

Many desirable characteristics of polymers arise from the method of polymerization and structural features of their repeat units, which typically are responsible for the polymer’s performance at the cost of processability. While linear alternatives are popular, polymers composed of cyclic repeat units across their backbones have generally been shown to exhibit higher optical transparency, lower water absorption, and higher glass transition temperatures. These specifically include polymers built with either substituted alicyclic structures or aromatic rings, or both. In this review article, we highlight two useful ring-forming polymer groups, perfluorocyclobutyl (PFCB) aryl ether polymers and ortho-diynylarene- (ODA) based thermosets, both demonstrating outstanding thermal stability, chemical resistance, mechanical integrity, and improved processability. Different synthetic routes (with emphasis on ring-forming polymerization) and properties for these polymers are discussed, followed by their relevant applications in a wide range of aspects.

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