Papers by Keyword: Monte Carlo Simulation

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Authors: K.R. Phaneesh, Anirudh Bhat, Gautam Mukherjee, Kishore T. Kashyap
Abstract: Large scale Potts model Monte Carlo simulation was carried on 3-dimensional square lattices of 1003 and 2003 sizes using the Metropolis algorithm to study grain growth behavior. Simulations were carried out to investigate both growth kinetics as well as the Zener limit in two-phase polycrystals inhibited in growth by second phase particles of single-voxel size. Initially the matrices were run to 10,000 Monte Carlo steps (MCS) to check the growth kinetics in both single phase and two-phase poly-crystals. Grain growth exponent values obtained as a result have shown to be highest (~ 0.4) for mono-phase materials while the value decreases with addition of second phase particles. Subsequently the matrices were run to stagnation in the presence of second phase particles of volume fractions ranging from 0.001to 0.1. Results obtained have shown a cube root dependence of the limiting grain size over the particle volume fraction thus reinforcing earlier 3D simulation efforts. It was observed that there was not much difference in the values of either growth kinetics or the Zener limit between 1003 and 2003 sized matrices, although the results improved mildly with size.
Authors: Tatiana Semenistaya, Nina K. Plugotarenko, Viktor Petrov
Abstract: The calculations of the dimer, trimer and tetramer molecules of polyacrylonitrile (PAN) using the quantum-chemical method are carried out. The computer simulation of formation of a polymer PAN chain by the Monte-Carlo method taken with the Metropolis and Wang-Landau algorithm is done. Technology of fabrication of gas-sensing material based on metal-containing PAN is developed. Electroconductive metal-containing PAN films are fabricated by method of pyrolysis under the influence of incoherent IR-radiation. Their sensing properties are studied.
Authors: Jin Quan Zhao, Chen Lu Zhang, Wei Hua Luo, Jun Zhao
Abstract: Among the solving methods of probabilistic optimal power flow (P-OPF), Monte Carlo Simulation (MCS) combined with random sampling (RS) is widely used due to its high accuracy. In order to further improve that, this paper proposes a way of using Monte Carlo Simulation with Latin hypercube sampling (LHS) to calculate the consumption of generating cost under many random variables. Numerical results of IEEE 14-bus and IEEE 118-bus systems show that the Latin hypercube sampling method provides more accurate performance in dealing with POPF under the condition of a smaller sample size, comparing with random sampling method. Thus the Latin hypercube sampling method can replace the MCS with random sampling as the benchmark method of other algorithms.
Authors: Lin Qin, Alice Redermeier, Ernst Kozeschnik, Carina Karner, Christoph Dellago
Abstract: In precipitation strengthened ferritic alloys, the Fe-Cu binary system is a well-studied model system. Still, many unsettled questions remain about the early stages of bcc Cu precipitation, most of which refer to the shape and composition of the critical and post-critical nuclei. Since the critical nucleation states are hard to investigate by experimental methods, we propose a computational strategy to reconstruct precipitation pathways and identify the nucleation states making use of Monte Carlo simulations combined with Rare Event Sampling methods. The precipitation process is reproduced by Monte Carlo simulations with an energy description based on the Local Chemical Environment approach, applying efficient pair potentials, which are dependent on the chemical environment, and the Forward Flux Sampling technique. This method provides profound insight into the shape and composition of the early-stage precipitates and also the critical cluster size and shape in dependency of the temperature and supersaturation.
Authors: Dominic Gnieser, Carl Georg Frase, Harald Bosse, Rainer Tutsch
Abstract: To assure the metrological traceability of a measurement, it is required to perform an analysis of the measurement uncertainty specific to the measurement task. An approach to estimate the measurement uncertainty for complex systems is the so-called virtual measuring instrument: The measuring process is simulated taking into account its influencing parameters and a statistical analysis is performed by means of Monte-Carlo calculations. We present the development of such a virtual measuring instrument for scanning electron microscopy (SEM) which allows to estimate the measurement uncertainty in compliance with GUM for dimensional measuring tasks in nano- and microsystems technology. By application of this virtual instrument, model based corrections of systematic errors are made possible and the cognition of the strength of different perturbing influences can lead to recommendations to optimize measurement instruments and methods. The virtual model programmed in MATLAB is called ‘vREM’, it includes all essential components of the measuring chain of an SEM as modules: The electron source, the electron-optical lens-system, the scan-generator, the interaction of the electrons within the object, electron detectors, simple analysis procedures and consideration of external disturbances. By adjusting parameters uncertainty contributions can be assigned to the virtual probe, the virtual specimen and the virtual detector signals.
Authors: Wen Feng Duan, Chang Liu
Abstract: Reinforced concrete eccentric compression member is one of the most common structural member. Eccentric compression members are divided into large eccentric compression members and small eccentric compression members. Uncertainty of calculation, geometric size and concrete strength were considered as random variables, the reliability of eccentric compression members were discussed by monte carlo simulation.
Authors: Bao Guang Sun, Xiao Feng Wang
Abstract: This paper analyzes the data got in two Monte Carlo simulations, namely, extensive air shower simulation and detector simulation. Then, based on the data from experimental arrays, some physical problems have been analyzed and illustrated. Those problems include the distribution of energy spectrum of secondary particles, the distribution of zenith angle, of azimuths, of background noises, and that of strip pattern, as well as the atmospheric absorption.
Authors: Xing Guo Ge, Yi Guo Ji, Chun Yan Tian, Yan Chen Zhang, Wei Dong Zhang
Abstract: The fire control measuring equipment are the most important devices when the aircraft attacks, so its precision directly affects the final outcome. In this paper, the tracking and measuring errors of measuring equipment of fire control calculator of a certain type of aircraft are studied, the error sources in the process of aircraft tracking and attacking are analyzed and simulated, the influences of each errors sources on tracking and attacking error are discussed, and some advises for reducing errors are given
Authors: Lu De Zou, Dong Wei Cao
Abstract: there are many uncertainty factors in the design process of the deep foundation pit engineering, such as the soil parameters, loading, which make the calculated displacement, settlement and safety factor have randomness and uncertainty. This paper combines uniform design (UD) with BP neural network. The UD structures random samples. Then, BP neural network trains random samples and the corresponding lateral displacement, settlement of ground and safety factors to get response relationship respectively. On this basis, the probability density distribution of each response parameter is obtained by predicting a large number of samples obtained by the Monte Carlo simulation. And then the Breadth Border Method, Narrow Bounds Method and PNET method are used to calculate system failure probability of foundation pit. The instance analysis shows that the method has high computing efficiency and the result is reasonable. It provides an effective way for the reliability analysis of the foundation pit engineering.
Authors: Wei Wu, Zi Wei Liu, Chu Cheng Lin, Jia Jie Hua, Yi Zeng
Abstract: By scanning electron microscope equipped (SEM) with energy dispersive spectroscopy (EDS) accessory, analysis can be performed simultaneously in the samples’ micromorphology observation and micro composition test. At present, EDS analysis is generally used high acceleration voltage, and the diffusion range of the incident electrons in sample is 3-5 μm. Therefore, the minimum area for the component analysis is several micrometers. The diffusion range of incident electrons can be reduced by reducing the acceleration voltage, and as a result, the nanometer-scale composition analysis in SEM can be achieved. Based on Monte Carlo simulation method, the incident electrons practical effect range can be estimated. While the acceleration voltage is reduced, X-ray yield rates of the B, C, N, O and other light elements will be increased. Thereby the measuring precision of EDS quantitative analysis of light elements can be improved.
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