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A monte carlo algorithm for the Vavilov distribution

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS 1999年第3期149卷 263-271页

作者： Yi, CY Han, HS Korea Atom Energy Res Inst HANARO Ctr Radioisotope & Radiat Applicat Team Taejon 305600 South Korea

Using the convolution property of the inverse Laplace transform, an improved monte carlo algorithm for the Vavilov energy-loss straggling distribution of the charged particle is developed, which is relatively simple and gives enough accuracy to be used for most monte carlo applications. (C) 1999 Elsevier Science B.V. All rights reserved.

关键词： Vavilov distribution energy-loss straggling charged particles monte carlo algorithm

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Estimating stray current interference from DC traction lines on buried pipelines by means of a monte carlo algorithm

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ELECTRICAL ENGINEERING 2015年第4期97卷 277-286页

作者： Lucca, G. SIRTI SpA I-20127 Milan Italy

The paper presents a non-deterministic approach to the study of stray current effects generated by direct current railway or tramway lines on buried pipelines which are located in the nearby area. The potential shift induced (via conductive coupling) on the latter ones by the stray current dispersed in the soil is evaluated by means of a suitable equivalent circuit combined with a monte carlo procedure. The algorithm proposed has to be intended as a tool for the estimation of the corrosion risk for a pipeline (or, more in general, for long buried metallic structures) due to the stray current generated by electrified railway/tramway lines. Different from the existing models present in literature, which are based on a deterministic approach, a method based on the random and statistical aspects of stray current, which are captured by monte carlo approach, is proposed. This is the novelty of the method.

关键词： Conductive coupling Corrosion risk DC traction lines monte carlo algorithm Pipelines Stray current

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A monte carlo algorithm for lattice ribbons

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JOURNAL OF STATISTICAL PHYSICS 1996年第3-4期82卷 1159-1198页

作者： Orlandini, E vanRensburg, EJJ Whittington, SG YORK UNIV DEPT MATH & STAT N YORK ON M3J 1P3 CANADA UNIV TORONTO DEPT CHEM TORONTO ON M5S 1A1 CANADA

A lattice ribbon is a connected sequence of plaquettes subject to certain self-avoidance conditions. The ribbon can be closed to form an object which is topologically either a cylinder or a Mobius band, depending on whether its surface is orientable or nonorientable. We describe a grand canonical monte carlo algorithm for generating a sample of these ribbons, prove that the associated Markow chain is ergodic, and present and discuss numerical results about the dimensions and entanglement complexity of the ribbons.

关键词： ribbon lattice models monte carlo algorithm knotting and linking entanglements

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Optimization in plate-fin safety structure of heat exchanger using. genetic and monte carlo algorithm

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APPLIED THERMAL ENGINEERING 2014年第1期70卷 341-349页

作者： Guo, Dongcai Liu, Meng Xie, Liyao Wang, Jun Beihang Univ Sch Aeronaut Sci & Engn Beijing 100191 Peoples R China

A safety structure of plate-fin heat exchanger is designed for special applications to prevent fluid leakage from adjacent channel walls. A fractional volume of a cavity layer between two channels is filled with high thermal conductive column-shape metal. Genetic algorithm is used for optimization of column distributions to achieve the maximum heat transfer performance, and its output is better than the simple direct optimization. To optimize with uncertain fluid condition, a direct genetic algorithm method, two improved genetic algorithm methods and a specific type of monte carlo algorithm method are applied in searching suitable solution. The optimized structure can provide a new feasible and safety plate-fin heat exchanger, and its results obtained by using genetic algorithm and monte carlo algorithm can provide some guidelines for optimal designs of heat exchangers. (C) 2014 Elsevier Ltd. All rights reserved.

关键词： Genetic algorithm Safety structure Plate-fin heat exchanger Optimization Fluid leakage monte carlo algorithm

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Transport of mass and energy of polyatomic gases in magnetic fields computed by a monte carlo algorithm

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CONTINUUM MECHANICS AND THERMODYNAMICS 2004年第4期16卷 353-362页

作者： Kaviski, E Kremer, GM Univ Fed Parana Dept Fis BR-81531990 Curitiba Parana Brazil Univ Fed Parana Dept Hidraul BR-81531990 Curitiba Parana Brazil

The transport of mass through a rectangular channel and of energy between parallel surfaces of polyatomic gases in the Knudsen regime and in the presence of external magnetic fields is calculated by means of a monte carlo algorithm. A four-parameter mathematical model is proposed that takes into account the dynamical aspects of molecule-surface interactions and the influence of external magnetic fields on the angular momentum of polyatomic molecules. The monte carlo algorithm makes use of the Latin super-cube sampling method, correlated samplings, and the concept of importance sampling. The four parameters are determined by an optimised method based on the monte carlo algorithm and on experimental results for the mass flux rate of the gases N-2 and CO in the presence of external magnetic fields through a rectangular channel with surfaces coated with Au. The optimised values of the parameters are used to determine the behaviour of the mass flux rate through a rectangular channel and the heat flux between two parallel plates for the gases N-2 and CO as a function of the applied magnetic field. The calculated curves fit the experimental data well.

关键词： mass and energy transport polyatomic gases magnetic fields monte carlo algorithm

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The applications of monte carlo algorithm and energy cone model to produce the probability of block-and-ash flows of the 2010 eruption of Merapi volcano in Central Java, Indonesia

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ARABIAN JOURNAL OF GEOSCIENCES 2015年第7期8卷 4717-4739页

作者： Yulianto, Fajar Tjahjono, Boedi Anwar, Syaiful Bogor Agr Univ IPB Fac Agr Dept Soil Sci & Land Resources Disaster Mitigat & Land Degradat MBK Bogor 16680 West Java Indonesia Indonesian Natl Inst Aeronaut & Space LAPAN Remote Sensing Applicat Ctr Jakarta 13710 Indonesia

Volcanic eruption hazard mapping is very important to fulfill information needs to prepare for emergency situations. Rapid mapping is one of the steps necessary for emergency response in disaster mitigation effort. Limitations of time, data, and knowledge mapping techniques can be a problem when performing the operational work. In this research, the combinations of the monte carlo algorithm and energy cone model have been applied to reproduce the probability of block-and-ash type of pyroclastic flows of the 2010 eruption of Merapi volcano. These approaches are applied as an alternative method of rapid, objective, and reproducible for hazard mapping of pyroclastic flows. In addition, the method of Interferometry Synthetic Aperture Radar (InSAR) has been used in this research to update the digital elevation model (DEM) data. The availability of DEM data updates was required as input of topography, which determines the pyroclastic flows. This research has produced DEM PALSAR 2010 pre-eruption of Merapi volcano, with a spatial resolution of 30 m. The result of the vertical accuracy calculations was performed using the root mean square error (RMSE) approach, which show the value of RMSE at 9.08 m. There are four eruptive phases, which have been used for the simulation scenarios, namely: phase 1 (period 26-29 October 2010), phase 2 (period 30 October-3 November 2010), phase 3 (period 4-5 November 2010), and phase 4 (period 6-23 November 2010). The results of the monte carlo algorithm to reproduce the effects of the 2010 eruption of Merapi volcano, has show that the height correction (hc) on the DEM data gives effect to the probability distribution of pyroclastic flows. At the hc=1, 2, 3, 4, and 5 m, the value of overall accuracy based on cross-correlation matrix of the reference map are 76.38, 77.38, 77.00, 77.75, and 77.25 %, respectively. In these scenarios, the hc=4 m can give the best accuracy. Meanwhile, the results of the comparison of the results of the difference

关键词： monte carlo algorithm Energy cone InSAR method Pyroclastic flows Merapi volcano Central Java Indonesia

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A new weighted monte carlo algorithm for elastic electron backscattering from surfaces

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MATHEMATICS AND COMPUTERS IN SIMULATION 2003年第3-6期62卷 297-305页

作者： Atanassov, E Dimov, I Dubus, A Bulgarian Acad Sci Cent Lab Parallel Proc BU-1113 Sofia Bulgaria Free Univ Brussels Serv Metrol Nucl B-1050 Brussels Belgium

When a monoenergetic electron beam bombards a solid target, some electrons are backscattered without energy loss. This elastic electron backscattering effect plays an important role in many experimental techniques, like low-energy electron diffraction, scanning electron microscopy and others. Recently, the elastic peak has been used for the experimental determination of electron inelastic mean free paths (IMFPs) in the solid. This experimental determination (which is now considered as the most reliable [J. Phys. Chem. Ref. Data 28 (1999) 19] consists in comparing the measurement to a model calculation in which the IMFP is a parameter. In most cases for the model calculation, a simple non-analog monte carlo simulation (where the inelastic events are considered as absorptions and taken into account by a weight) is used. In many cases, long computational times are needed, especially when the solid angle of the electron detector is small. In this work, we introduce a new weighted monte carlo algorithm, which combines several techniques for variance reduction. Results of extensive numerical tests are presented, demonstrating the increased effectiveness of the new algorithm. (C) 2002 IMACS. Published by Elsevier Science B.V. All rights reserved.

关键词： monte carlo algorithm elastic electron backscattering weighted algorithm surface analysis

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A monte carlo algorithm for Generating Synthetic Social Networks Based on Personality Compatibility

A Monte Carlo Algorithm for Generating Synthetic Social Netw...

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IEEE SoutheastCon Conference

作者： O'Neil, Daniel A. Petty, Mikel D. Univ Alabama Huntsville Huntsville AL 35899 USA

ISBN: (纸本)9781728101378

Social structures and interpersonal relationships may he represented in abstract mathematical objects known as social networks. In their simplest form, social networks consist of nodes corresponding to people and links between pairs of nodes corresponding to relationships between those people. Social networks can be constructed by examining actual groups of people and identifying the relationships of interest between them. However, there are circumstances where such empirical social networks arc unavailable, or their use would be undesirable. Consequently, methods to generate synthetic social networks that are not identical to real-world networks but have desired structural similarities to them are valuable. A process for generating synthetic social networks based on attributing human personality types to the nodes and then stochastically adding links between nodes based on the compatibility of the nodes' personalities was developed. A monte carlo search algorithm finding an effective assignment of personality types to nodes was implemented and tested. This algorithm was evaluated in terms of realism, i.e., the similarity of the generated synthetic social to exemplar real-world social networks, for 14 different real-world social networks using 18 standard quantitative network metrics. Findings were that this approach produces realistic networks.

关键词： Social network metrics monte carlo algorithm

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Parallel Implementation of a monte carlo algorithm for Simulation of Cathodoluminescence Contrast Maps 11th

Parallel Implementation of a Monte Carlo Algorithm for Simul...

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11th International Scientific Conference on Parallel Computational Technologies (PCT)

作者： Sabelfeld, Karl K. Kireeva, Anastasiya E. Inst Computat Math & Math Geophys 6 Prospekt Lavrentjeva Novosibirsk 630090 Russia

ISBN: (纸本)9783319670355;9783319670348

We suggest a parallel implementation of a monte carlo method for cathodoluminescence contrast maps simulation based on a random walk on spheres algorithm developed by K. K. Sabelfeld for solving drift-diffusion problems. The method for cathodoluminescence imaging in the vicinity of external forces is based on the explicit representation of the exit point probability density. This makes it possible to simulate exciton trajectories governed by drift-diffusion-reaction equations with a recombination condition on the surface of dislocations or other defects in crystals. In this study, we apply the developed stochastic algorithm to construct a parallel implementation that uses the OpenMP and MPI standards and is based on a distribution of simulated exciton trajectories starting at a given source. The number of self-annihilated excitons is evaluated as a function of the distance between the exciton source and the dislocation. The algorithm is tested against exact results.

关键词： Cathodoluminescence Drift-diffusion problem Random walk on spheres algorithm monte carlo algorithm Parallel implementation

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Research on Surface Target Strike Process Planning Based on monte carlo algorithm 40

Research on Surface Target Strike Process Planning Based on ...

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40th Chinese Control Conference (CCC)

作者： Liu, Wei Lv, Mingwei Zhang, Shaoqing Song, Yike Hu, Jinwen AVIC Shen Yang Aircraft Design & Res Inst Shenyang 110035 Peoples R China Sch Northwestern Polytech Univ Xian 710072 Peoples R China

ISBN: (纸本)9789881563804

Aiming at how to do more damage to the enemy or achieve the target damage under the condition of the same countermeasure environment, guarantee condition and ammunition consumption. In this paper, the monte carlo algorithm is included into the surface target strike process planning, and a new surface target strike process planning algorithm is proposed. Based on the surface target information and bomb damage radius, the optimal plan is calculated through sorting the bombs' contribution by monte carlo algorithm to achieve the goal of quantitative analysis of the damage effect of the target.

关键词： Surface target monte carlo algorithm Strike process planning

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