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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: The natural frequencies of the solar power plant structure are estimated by multi-setup stochastic subspace

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

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

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 times, maximum flow time, mean tardiness, maximum tardiness, number of tardy jobs, total setups and mean setupA discrete event simulation model of a stochastic dynamic job shop manufacturing system is developedThe job with similar setup and modified earliest due date (JMEDD) rule provides the best performancefor makespan, maximum flow time, mean tardiness, maximum tardiness, total setups and mean setup time

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

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Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 2,   Pages 298-314 doi: 10.1007/s11465-020-0621-3

Abstract: and machining envelope, thereby further developing an algorithm to determine the feasible workpiece setupFinally, the algorithm is validated for feasible workpiece setup parameters in a virtual environment.applicable in the industry to eliminate the number of iterations performed for the suitable workpiece setup

Keywords： workpiece setup parameter     five-axis     space utilization     setup parameters     machine tool    

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scalestochastic finite elements

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 121-140 doi: 10.1007/s11709-015-0290-1

Abstract: The spatial variability of stress fields resulting from polycrystalline aggregate calculations involving random grain geometry and crystal orientations is investigated. A periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fields (power spectral density and related covariance structure). Based on a set of finite element polycrystalline aggregate calculations the properties of the maximal principal stress field are identified. Two cases are considered, using either a fixed or random grain geometry. The stability of the method w.r.t the number of samples and the load level (up to 3.5% macroscopic deformation) is investigated.

Keywords： polycrystalline aggregates     crystal plasticity     random fields     spatial variability     correlation structure    

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Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 333-347 doi: 10.1007/s11465-017-0435-0

Abstract: Thus, this paper presents a joint subspace learning-based multiple fault detection (JSL-MFD) techniqueIt can also sparsely concentrate the feature information into a few dominant subspace coefficients.

Keywords： joint subspace learning     multiple fault diagnosis     sparse decomposition theory     coupling feature separation    

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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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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 microscopicrandom variation in addition to a random variation of fiber orientation in each lamina, and stochasticFrom 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-excitationshown that the presented method can produce accurate results while increasing the efficiency of the stochastic

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

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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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An improved subspace weighting method using random matrix theory Research Articles

Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1302-1307 doi: 10.1631/FITEE.1900463

Abstract: The weighting subspace fitting (WSF) algorithm performs better than the multi-signal classification (

Keywords： Direction of arrival     Signal subspace     Random matrix theory    

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Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Strategic Study of CAE 2006, Volume 8, Issue 11,   Pages 86-93

Abstract: observation of the true channel frequency response, so the noise component can be compressed through subspaceIn this paper, the substance of the improvement of LS channel estimation is analyzed when subspace projectingis enforced, and the general framework to perform subspace projecting in the context of OFDM channelWhen signal subspace varies with time, subspace tracking should be performed to maintain a good estimationof signal subspace.

Keywords： OFDM     subspace     projecting     tracking     channel estimation    

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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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Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 434-447 doi: 10.1007/s11709-022-0820-6

Abstract: This paper uses the spectral stochastic finite element method (SSFEM) for analyzing reinforced concreteparameters, and 2) dead and live loads as well as the elasticity moduli of concrete and steel as a multi-dimensional

Keywords： uncertainty     spectral stochastic finite element method     correlation length     reliability assessment     reinforced    

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Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 197-209 doi: 10.1007/s11708-017-0457-7

Abstract: It gives an idea about stochastic programming (SP) and discusses the formulations given by different

Keywords： renewable energy sources     stochastic optimization     smart grid     uncertainty     optimal power flow (OPF)    

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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 Monte

Keywords： stochastic analysis     random seismic excitation     finite element method     artificial neural network     frequency    

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Title Author Date Type Operation

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

Reza KHADEMI-ZAHEDI, Pouyan ALIMOURI

Journal Article

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

Pankaj SHARMA,Ajai JAIN

Journal Article

Determination of the feasible setup parameters of a workpiece to maximize the utilization of a five-axis

Aqeel AHMED, Muhammad WASIF, Anis FATIMA, Liming WANG, Syed Amir IQBAL

Journal Article

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scalestochastic finite elements

Bruno SUDRET,Hung Xuan DANG,Marc BERVEILLER,Asmahana ZEGHADI,Thierry YALAMAS

Journal Article

Multiple fault separation and detection by joint subspace learning for the health assessment of wind

Zhaohui DU, Xuefeng CHEN, Han ZHANG, Yanyang ZI, Ruqiang YAN

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

Journal Article

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

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

An improved subspace weighting method using random matrix theory

Yu-meng Gao, Jiang-hui Li, Ye-chao Bai, Qiong Wang, Xing-gan Zhang,ychbai@nju.edu.cn

Journal Article

Improving the Performance of OFDM Channel Estimation through Subspace Projecting and Tracking

Dong Liang,Cao Xiuying,Bi Guangguo

Journal Article

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

Journal Article

Applying the spectral stochastic finite element method in multiple-random field RC structures

Abbas YAZDANI

Journal Article

Review of stochastic optimization methods for smart grid

S. Surender REDDY, Vuddanti SANDEEP, Chan-Mook JUNG

Journal Article

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

P. ZAKIAN

Journal Article