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Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2, Pages 107-113 doi: 10.1007/s11709-014-0268-4

Abstract: The Green-function-based multiscale stochastic finite element method (MSFEM) has been formulated basedon the stochastic variational principle.In this study a fast computing procedure based on the MSFEM is developed to solve random field geotechnical

Keywords： multiscale finite element settlement perturbation random field geotechnical

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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 concreteIn doing so, it presents a new framework to study how the correlation length of a random field (RF) with

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

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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: spatial variability of stress fields resulting from polycrystalline aggregate calculations involving randomA periodogram-based method is proposed to identify the properties of homogeneous Gaussian random fieldsTwo cases are considered, using either a fixed or random grain geometry.

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

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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 unidirectionalIn particular, influence of a microscopic random variation of the elastic properties of component materialsLaminated 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 stochastic

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

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Crack propagation with different radius local random damage based on peridynamic theory

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5, Pages 1238-1248 doi: 10.1007/s11709-021-0695-y

Abstract: Moreover, to study the effects of local stochastic damage with different radii on the crack propagationThis method can be applied to steel structures under similar local random damage conditions.

Keywords： peridynamics stochastic damage bilateral notch crack

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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 greatimportance for incorporating random nature of a system property or random nature of a system input.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 Monterandom process.

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

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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.Micro-scopic models are based on quasi-birth-and-death process because of the phase-type distributed

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

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Field experiment on biological contact oxidation process to treat polluted river water in the DianchiLake watershed

Lu LI, Shuguang XIE, Hui ZHANG, Donghui WEN

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 1, Pages 38-47 doi: 10.1007/s11783-009-0007-6

Abstract: The Daqing River, which is the largest pollutant contributor to the Dianchi Lake, one of the most eutrophicTN, and TP, which made it applicable for the treatment of polluted river water entering the Dianchi Lake

Keywords： step-feed biological contact oxidation process (SBCOP) inter-recycle biological contact oxidation process(IBCOP) river water removal efficiency nitrogen transformation the Dianchi Lake watershed

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of catalyst temperature in automotive engines over coldstart operation in the presence of different randomnoises and uncertainty: Implementation of generalized Gaussian process regression machine

Nasser L. AZAD,Ahmad MOZAFFARI

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 4, Pages 405-412 doi: 10.1007/s11465-015-0354-x

Abstract:

The main scope of the current study is to develop a systematic stochastic model to capture the undesireduncertainty and random noises on the key parameters affecting the catalyst temperature over the coldstartHere, the authors introduce a random noise to experimentally derived data and simulate an uncertain databaseThen, by using a Gaussian process regression machine (GPRM), a reliable model is used for the sake of

Keywords： automotive engine calibration coldstart operation Gaussian process regression machine (GPRM) uncertaintyand random noises

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Adaptive simulation of wave propagation problems including dislocation sources and random media

Hassan YOUSEFI, Jamshid FARJOODI, Iradj MAHMOUDZADEH KANI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 5, Pages 1054-1081 doi: 10.1007/s11709-019-0536-4

Abstract: for simulation of elastodynamic problems, involving seismic sources with discontinuous solutions and randomThis adaptive smoothing guarantees also solution stability without over smoothing phenomenon in stochasticpropagation problems; 2) P-SV point sources and rupturing line-source including a bounded fault zone with stochastic

Keywords： adaptive wavelet adaptive smoothing discontinuous solutions stochastic media spurious oscillations Tikhonov

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The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 43-46

Abstract: the formation of the new knowledge, this thesis sets up the maximum entropy fundamental model of the stochastic

Keywords： maximum entropy knowledge innovation conditional entropy stochastic process

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Earth Satellite Remote Sensing Monitored and Geodynamic Analysis of the Dynamic Variation of Lakes in the Qinghai-Xizang (Tibet) Plateau

Hu Dongsheng,Zhang Huajing,Xu Bing,Zhang Guowei,Li Shijie,Peng Bo,Wang Weiming,Chen Shiyue,Xu Shijin,Tian Xinhong

Strategic Study of CAE 2006, Volume 8, Issue 5, Pages 33-44

Abstract: data for the observed object, the 20-years(1985—2005) consecutive monitoring on the Goulucuo LakeThe motion phenomenon and the self-organizing dissipative structure of the natural evolution processof the lake water were deciphered.The random evolution process and the motion locus of the lake were depicted with the employment of theThe motion process and the geodynamics mechanism of the dynamic change of the lakes in Qinghai-Xizang

Keywords： monitering with earth satellite remote sensing the stochastic process random of the lake's natural evolvement

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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 reliabilityresistance and action effects variation with time, considering the resistance is an independent increment processAnd 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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removal mechanism of the precursors of N-chloro-2,2-dichloroacetamide in a drinking water treatment processat Taihu Lake

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1338-6

Abstract:

• N-Cl-DCAM, an emerging N-DBP in drinking water was investigated.

Keywords： N-chloro-2 2-dichloroacetamide Liquid chromatography with tandem mass spectrometry Precursors Removal efficiency Ozonation integrated with biological activated carbon

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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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Title Author Date Type Operation

Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Journal Article

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

Abbas YAZDANI

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

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

S. SAKATA,K. OKUDA,K. IKEDA

Journal Article

Crack propagation with different radius local random damage based on peridynamic theory

Journal Article

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

P. ZAKIAN

Journal Article

Hierarchical modeling of stochastic manufacturing and service systems

Zhe George ZHANG, Xiaoling YIN

Journal Article

Field experiment on biological contact oxidation process to treat polluted river water in the DianchiLake watershed

Lu LI, Shuguang XIE, Hui ZHANG, Donghui WEN

Journal Article

of catalyst temperature in automotive engines over coldstart operation in the presence of different randomnoises and uncertainty: Implementation of generalized Gaussian process regression machine

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

Adaptive simulation of wave propagation problems including dislocation sources and random media

Hassan YOUSEFI, Jamshid FARJOODI, Iradj MAHMOUDZADEH KANI

Journal Article

The Model on Maximum Entropy of Knowledge Creating Stochastic Process

Chen Xin,He Jinsheng,Dong Liping

Journal Article

Earth Satellite Remote Sensing Monitored and Geodynamic Analysis of the Dynamic Variation of Lakes in the Qinghai-Xizang (Tibet) Plateau

Hu Dongsheng,Zhang Huajing,Xu Bing,Zhang Guowei,Li Shijie,Peng Bo,Wang Weiming,Chen Shiyue,Xu Shijin,Tian Xinhong

Journal Article

Fully stochastic analysis method for structural time-independent reliability