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Characterization on jointed rock masses based on PFC2D

Peitao WANG, Tianhong YANG, Qinglei YU, Honglei LIU, Penghai ZHANG

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1,   Pages 32-38 doi: 10.1007/s11709-013-0187-9

Abstract: In this paper, the PFC2D is combined with joint network generation method to examine the mechanical behaviorsThen, the automatic generation algorithm of random joints network based on the Monte-Carlo method isThe simulation result shows the feasibility of the joints generating method in application to jointed

Keywords： jointed rock masses     shape metrix3D     monte-carlo stochastic simulation method     PFC2D    

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The effect of micro-structural uncertainties of recycled aggregate concrete on its global stochasticproperties via finite pixel-element Monte Carlo simulation

Qingpeng MENG, Yuching WU, Jianzhuang XIAO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 474-489 doi: 10.1007/s11709-017-0442-6

Abstract: paper, the effect of micro-structural uncertainties of recycled aggregate concrete (RAC) on its global stochasticelastic properties is investigated via finite pixel-element Monte Carlo simulation.Results are in a good agreement with experimental data in literature and finite pixel-element method

Keywords： RAC     Monte Carlo analysis     stochastic     finite pixel-element method     homogenization     coefficient of variation    

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An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 4,   Pages 470-479 doi: 10.1007/s11709-017-0440-8

Abstract: In this study, the stochastic dynamic analysis of soil mass is performed by finite element method inTwo methods are used for stochastic analysis of soil media which are spectral decomposition and MonteCarlo methods.In this research, artificial neural network is proposed and added to Monte Carlo method for sake of reducingCarlo simulations in comparison with standard Monte Carlo and spectral decomposition methods.

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequencydomain analysis     Monte Carlo simulation    

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Simulation model based on Monte Carlo method for traffic assignment in local area road network

Yuchuan DU, Yuanjing GENG, Lijun SUN

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2,   Pages 195-203 doi: 10.1007/s11709-009-0032-3

Abstract: and the data availability of a local area road network, a new model for traffic assignment based on MonteCarlo simulation of intersection turning movement is provided in this paper.The traffic assignment model based on the Monte Carlo method has been used in traffic analysis for an

Keywords： traffic assignment     local area road network     turning ratio     Monte Carlo method    

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Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Frontiers of Agricultural Science and Engineering 2017, Volume 4, Issue 1,   Pages 81-96 doi: 10.15302/J-FASE-2016112

Abstract: and Hilbert-Huang transformation, were first selected to detect and identify the deterministic and stochasticThis index showed that the linear regression was the best method.Secondly, using the normality test for stochastic components separated by the linear regression methodNext, the Monte Carlo stochastic simulation technique was used to simulate these stochastic components

Keywords： Monte Carlo     nonstationary     trend detection     streamflow prediction     decomposition and ensemble     Yingluoxia    

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Numerical simulation of the heat flux distribution in a solar cavity receiver

Yueshe WANG, Xunwei DONG, Jinjia WEI, Hui JIN

Frontiers in Energy 2011, Volume 5, Issue 1,   Pages 98-103 doi: 10.1007/s11708-010-0019-8

Abstract: In this study, a numerical simulation using the Monte Carlo Method has been conducted on the heat flux

Keywords： solar cavity receiver     Monte Carlo method     heat flux distribution    

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Kinetic Monte Carlo simulations of plasma-surface reactions on heterogeneous surfaces

Daniil Marinov

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 4,   Pages 815-822 doi: 10.1007/s11705-019-1837-9

Abstract: In this paper, we develop a kinetic Monte Carlo (KMC) model that can effectively handle chemical kinetics

Keywords： plasma-surface interaction     kinetic Monte Carlo     plasma nano technology    

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Numerical simulation and experiment research of radiation performance in a dish solar collector system

Yong SHUAI, Xinlin XIA, Heping TAN

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 488-495 doi: 10.1007/s11708-010-0007-z

Abstract: The Monte Carlo ray-tracing method is applied and coupled with optical properties to predict the radiationat different distances from the dish vertex of a solar concentrator are taken by using an indirect methodFurther, the measured flux distributions are compared with a Monte Carlo-predicted distribution.

Keywords： Monte Carlo method     solar energy     radiation performance     cavity receiver    

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uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic

Jiping Jiang, Feng Han, Yi Zheng, Nannan Wang, Yixing Yuan

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1081-4

Abstract:

Uncertainty rules of pollution source inversion are revealed by stochastic

Keywords： Emergency response     Pollution source inversion     Inverse uncertainty analysis     Regional Sensitivity Analysis method(RSA)     Monte Carlo analysis toolbox (MCAT)    

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Monte Carlo simulation of the PEMFC catalyst layer

WANG Hongxing, CAO Pengzhen, WANG Yuxin

Frontiers of Chemical Science and Engineering 2007, Volume 1, Issue 2,   Pages 146-150 doi: 10.1007/s11705-007-0027-3

Abstract: In this work, the structure of the catalyst layer is studied based on the lattice model with the MonteCarlo simulation.The simulation result shows that the aggregation of conduction grains can greatly affect the degree of

Keywords： catalyst utilization     PEMFC     commercialization     Pt/C catalyst     conduction    

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Monte Carlo simulation of the diffusion-limited aggregating process of particle suspension systems

Jiajing XU, Lin ZHANG, Yongjian TANG, Wei DAI, Wenwen SHAN,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 3,   Pages 270-274 doi: 10.1007/s11705-009-0273-7

Abstract: aggregating process was simulated with off-lattice diffusion-limited cluster-cluster aggregation (DLCA) MonteCarlo programs.

Keywords： cluster-cluster aggregation     distribution function     relationship     process     universal    

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A novel methodology for forecasting gas supply reliability of natural gas pipeline systems

Feng CHEN, Changchun WU

Frontiers in Energy 2020, Volume 14, Issue 2,   Pages 213-223 doi: 10.1007/s11708-020-0672-5

Abstract: novel systematic and integrated methodology to assess gas supply reliability is proposed based on the MonteCarlo method, statistical analysis, mathematical-probabilistic analysis, and hydraulic simulation.The method proposed has two stages. In the first stage, typical scenarios are determined.In the second stage, hydraulic simulation is conducted to calculate the flow rate in each typical scenarioTo verify the feasibility, the method proposed is applied for a real natural gas pipelines network system

Keywords： natural gas pipeline system     gas supply reliability     evaluation index     Monte Carlo method     hydraulic simulation    

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Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlomethod

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 4,   Pages 517-537 doi: 10.1007/s11465-020-0589-z

Abstract: This paper presents a dynamic and static error transfer model and uncertainty evaluation method for aThen, the maximum range of each error source is determined by simulation and experiment.Finally, the uncertainty of the blade displacement measurement is evaluated using the Monte Carlo method

Keywords： guide rail     error transfer model     driving and following structure     dynamic error     uncertainty evaluation     MonteCarlo method    

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Soil spatial variability impact on the behavior of a reinforced earth wall

Adam HAMROUNI, Daniel DIAS, Badreddine SBARTAI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 518-531 doi: 10.1007/s11709-020-0611-x

Abstract: The Karhunen-Loève expansion method is used for the discretization of the random field.The Monte Carlo simulation technique is used to obtain the deformation response variability of the reinforced

Keywords： reinforced earth wall     geosynthetic     random field     spatial variability     Monte Carlo simulation    

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Collapse fragility assessment of steel roof framings with force limiting devices under transient wind loading

Linjia BAI, Yunfeng ZHANG

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 3,   Pages 199-209 doi: 10.1007/s11709-012-0168-4

Abstract: For the presented fragility assessment of steel roof collapse, a Monte Carlo method combined with responsesurface approach was adopted, which greatly reduces the computation time and makes the Monte Carlo simulation

Keywords： collapse     dynamic response     fragility analysis     Monte Carlo simulation     wind load    

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Title Author Date Type Operation

Characterization on jointed rock masses based on PFC2D

Peitao WANG, Tianhong YANG, Qinglei YU, Honglei LIU, Penghai ZHANG

Journal Article

The effect of micro-structural uncertainties of recycled aggregate concrete on its global stochasticproperties via finite pixel-element Monte Carlo simulation

Qingpeng MENG, Yuching WU, Jianzhuang XIAO

Journal Article

An efficient stochastic dynamic analysis of soil media using radial basis function artificial neural

P. ZAKIAN

Journal Article

Simulation model based on Monte Carlo method for traffic assignment in local area road network

Yuchuan DU, Yuanjing GENG, Lijun SUN

Journal Article

Trend detection and stochastic simulation prediction of streamflow at Yingluoxia hydrological station

Chenglong ZHANG,Mo LI,Ping GUO

Journal Article

Numerical simulation of the heat flux distribution in a solar cavity receiver

Yueshe WANG, Xunwei DONG, Jinjia WEI, Hui JIN

Journal Article

Kinetic Monte Carlo simulations of plasma-surface reactions on heterogeneous surfaces

Daniil Marinov

Journal Article

Numerical simulation and experiment research of radiation performance in a dish solar collector system

Yong SHUAI, Xinlin XIA, Heping TAN

Journal Article

uncertainty characteristics of pollution source identification for river chemical spill incidents by stochastic

Jiping Jiang, Feng Han, Yi Zheng, Nannan Wang, Yixing Yuan

Journal Article

Monte Carlo simulation of the PEMFC catalyst layer

WANG Hongxing, CAO Pengzhen, WANG Yuxin

Journal Article

Monte Carlo simulation of the diffusion-limited aggregating process of particle suspension systems

Jiajing XU, Lin ZHANG, Yongjian TANG, Wei DAI, Wenwen SHAN,

Journal Article

A novel methodology for forecasting gas supply reliability of natural gas pipeline systems

Feng CHEN, Changchun WU

Journal Article

Evaluation of measurement uncertainty of the high-speed variable-slit system based on the Monte Carlomethod

Yin ZHANG, Jianwei WU, Kunpeng XING, Zhongpu WEN, Jiubin TAN

Journal Article

Soil spatial variability impact on the behavior of a reinforced earth wall

Adam HAMROUNI, Daniel DIAS, Badreddine SBARTAI

Journal Article

Collapse fragility assessment of steel roof framings with force limiting devices under transient wind loading

Linjia BAI, Yunfeng ZHANG

Journal Article