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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 141-153 doi: 10.1007/s11709-014-0286-2

Abstract: This paper discusses a multiscale stochastic analysis of a laminated composite plate consisting of unidirectionalLaminated composites are widely used in civil engineering, and therefore multiscale stochastic analysisThis study deals with the stochastic response of a laminated composite plate against the microscopicfor the stochastic analysis.From the numerical results, importance of the multiscale stochastic analysis for reliability evaluation

Keywords： stochastic homogenization     multiscale stochastic analysis     microscopic random variation     laminated composite    

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Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 4,   Pages 379-384 doi: 10.1007/s11709-012-0180-8

Abstract: Based on this drawback, a new, more efficient stochastic calculation method, an improvement on the pseudo-excitationThis method is then applied to the seismic analysis of an isolated structure.shown that the presented method can produce accurate results while increasing the efficiency of the stochasticanalysis.on the results of the example presented in this paper, the given method is applicable to the seismic analysis

Keywords： isolated structure     stochastic response     non-proportional damping     efficient     accurate     pseudo-excitation    

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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: Since a lot of engineering problems are along with uncertain parameters, stochastic methods are of greatIn 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 Monteis proposed and added to Monte Carlo method for sake of reducing computational effort of the random analysis

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

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Regional characteristics of industrial energy efficiency in China: application of stochastic frontieranalysis method

Tao HUANG,Akio ONISHI,Feng SHI,Masafumi MORISUGI,Mjo Lwin CHERRY

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 506-521 doi: 10.1007/s11783-014-0656-y

Abstract: This paper analyzed regional industrial energy efficiency in China with Total-Factor Energy Efficiency (TFEE). The East region has the best energy efficiency and the Central and the West regions stand as the second and the third respectively. However, it is found that industrial energy efficiency of all regions increased from 1998 to 2006. This result is consistent with level of economic development of every region. The industries of all provinces in China are not yet at the frontier efficiency position, therefore, to the frontier as target, their technology levels and production processes should be adjusted accordingly. Compared with the conventional energy efficiency, the inverse of energy intensity, which is defined as the ratio of actual output to energy input, is regarded as Single-Factor Energy Efficiency (SFEE) index. Although TFEE ranks are not changed for each region, they are different for each province. The comparative result also shows that the substitution among inputs (labor, capital stock, and energy) to produce the output is significant. The SFEE scores could be over-estimated if energy is taken as the single input in the production. Finally, we identified determining factors affecting industrial energy efficiency using Tobit model. The results indicate that an increase of per capita Gross Domestic Product (GDP), the percentage of output value of industry invested by Hong Kong, Macao, Taiwan and abroad, energy price and investment of scientific and technological activities for industry could be possible contributors and drivers to the industrial energy efficiency. However, increasing of heavy industry will lead to worse industrial energy efficiency.

Keywords： industrial energy efficiency     stochastic frontier analysis     total-factor energy efficiency     single factor    

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Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 965-980 doi: 10.1007/s11709-019-0530-x

Abstract: In the present contribution, operational modal analysis in conjunction with bees optimization algorithmsquared errors between the natural frequencies calculated by finite element method and operational modal analysisThe natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspaceidentification method which is considered as a strong and efficient method in operational modal analysis, computed natural frequencies by numerical method are compared with those of the operational modal analysis

Keywords： operational modal analysis     solar power plant structure     multi-setup stochastic subspace     bees optimizationalgorithm     sensitivity analysis    

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Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 450-461 doi: 10.1007/s11465-009-0072-3

Abstract: This paper presents a method based on stochastic resonance (SR) to detect weak fault signal.

Keywords： extended stochastic resonance (SR)     stability analysis of SR     scale transform     weak signal detection     incipientfault detection     envelope analysis    

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Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Frontiers of Mechanical Engineering 2014, Volume 9, Issue 4,   Pages 380-389 doi: 10.1007/s11465-014-0315-9

Abstract:

Stochastic dynamic job shop scheduling problem with consideration of sequence-dependent setup timesA discrete event simulation model of a stochastic dynamic job shop manufacturing system is developed

Keywords： scheduling     stochastic dynamic job shop     sequence-dependent setup times     dispatching rule     simulation    

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

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 stochasticanalysis

A release load is most easily inversed

Keywords： River chemical spills     Emergency response     Pollution source inversion     Inverse uncertainty analysis     RegionalSensitivity Analysis method (RSA)     Monte Carlo analysis toolbox (MCAT)    

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Wavelet Analysis of a Sort of Multidimension Stochastic System

Xia Xuewen

Strategic Study of CAE 2004, Volume 6, Issue 11,   Pages 43-46

Abstract:

In this paper, a linear stochastic systeme is studied, using wavelet analysis and its average power, density degree and wavelet

Keywords： stochastic system     density degree     wavelet expansion     average power     corelation    

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The effect of micro-structural uncertainties of recycled aggregate concrete on its global stochastic

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 stochastic

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

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 105-106 doi: 10.1007/s11709-015-0297-7

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Fully stochastic analysis method for structural time-independent reliability

Du Bin,Xiang Tianyu,Zhao Renda

Strategic Study of CAE 2010, Volume 12, Issue 3,   Pages 108-112

Abstract: To extend the so-called semi-stochastic process model for specified in the design code in analysis reliabilityAnd a fully stochastic process model was developed to analysis time-dependent reliability.

Keywords： existing structure     stochastic process     time-dependent reliability     action effects     resistance deterioration    

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Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 4,   Pages 468-471 doi: 10.1007/s11465-006-0061-8

Abstract: To analyze structural reliability by the stochastic FE (finite element) method rapidly and efficiently

Keywords： satisfactory     interpretation     algorithm     structural reliability     stochastic FE    

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Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Frontiers of Engineering Management 2017, Volume 4, Issue 3,   Pages 295-303 doi: 10.15302/J-FEM-2017047

Abstract: This paper presents a review of methodologies for analyzing stochastic manufacturing and service systemsOn the basis of the scale and level of details of operations, we can study stochastic systems using microSuch a classification unifies stochastic modeling theory.

Keywords： stochastic modeling     QBD process     PH distribution     heavy traffic limits     diffusion process    

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Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Frontiers of Engineering Management 2022, Volume 9, Issue 2,   Pages 214-220 doi: 10.1007/s42524-022-0192-6

Abstract: In the majority of the previous works on discrete-event stochastic systems, they have been assumed toand we discuss the difficulties and possible future research topics in the study of discrete-event stochastic

Keywords： discrete-event stochastic system     correlated input     performance evaluation    

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Title Author Date Type Operation

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Journal Article

Application of an efficient stochastic calculation method on the seismic analysis of an isolated structure

Wei GUO, Zhiwu YU

Journal Article

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

P. ZAKIAN

Journal Article

Regional characteristics of industrial energy efficiency in China: application of stochastic frontieranalysis method

Tao HUANG,Akio ONISHI,Feng SHI,Masafumi MORISUGI,Mjo Lwin CHERRY

Journal Article

Finite element model updating of a large structure using multi-setup stochastic subspace identification

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

Extended stochastic resonance (SR) and its applications in weak mechanical signal processing

Niaoqing HU, Min CHEN, Guojun QIN, Lurui XIA, Zhongyin PAN, Zhanhui FENG,

Journal Article

Analysis of dispatching rules in a stochastic dynamic job shop manufacturing system with sequence-dependent

Pankaj SHARMA,Ajai JAIN

Journal Article

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

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

Journal Article

Wavelet Analysis of a Sort of Multidimension Stochastic System

Xia Xuewen

Journal Article

The effect of micro-structural uncertainties of recycled aggregate concrete on its global stochastic

Qingpeng MENG, Yuching WU, Jianzhuang XIAO

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

Fully stochastic analysis method for structural time-independent reliability

Du Bin,Xiang Tianyu,Zhao Renda

Journal Article

Implementation of an optimum algorithm for structural reliability analysis based on FEM

CHENG Ying, TU Hong-mao, FAN Hong-li

Journal Article

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

Discrete-event stochastic systems with correlated inputs: Modeling and performance evaluation

Journal Article