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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 basedIn 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 fieldsBased on a set of finite element polycrystalline aggregate calculations the properties of the maximalTwo 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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Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 66-80 doi: 10.1007/s11709-018-0461-y

Abstract: deep excavation in layers of cemented coarse grained soil located in Tehran, Iran by non-deterministic Random

Keywords： uncertainty     reliability analysis     deep excavations     random set method     finite difference method    

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Recent advances in multisensor multitarget tracking using random finite set Review Articles

Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu,dktm131@163.com,t.c.li@nwpu.edu.cn,zoyofo@163.com,fanhongqi@nudt.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000266

Abstract: In this study, we provide an overview of recent advances in multisensor based on the (RFS) approach. The fusion that plays a fundamental role in multisensor filtering is classified into data-level multitarget measurement fusion and estimate-level multitarget density fusion, which share and fuse local measurements and posterior densities between sensors, respectively. Important properties of each fusion rule including the optimality and sub-optimality are presented. In particular, two robust multitarget density-averaging approaches, arithmetic- and geometric-, are addressed in detail for various RFSs. Relevant research topics and remaining challenges are highlighted.

Keywords： Multitarget tracking     Multisensor fusion     Average fusion     Random finite set     Optimal fusion    

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

P. ZAKIAN

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

Abstract: problems are along with uncertain parameters, stochastic methods are of great importance for incorporating randomnature 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 inShear modulus of soil is considered as a random field and the seismic excitation is also imposed as arandom process.

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

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Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 114-120 doi: 10.1007/s11709-014-0267-5

Abstract: The accurate and efficient simulation of random heterogeneous media is important in the framework ofIt is usually assumed that the morphology of a random microstructure can be described as a non-Gaussianrandom field that is completely defined by its multivariate distribution.A particular kind of non-Gaussian random fields with great practical importance is that of translationmedia with emphasis on level-cut random fields which are a special case of translation fields.

Keywords： microstructure     random fields     level sets     shape recovery     two-phase media    

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Probabilistic analysis of secant piles with random geometric imperfections

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 3,   Pages 682-695 doi: 10.1007/s11709-021-0703-2

Abstract: By taking the pile diameter D, inclination angle β, and azimuth angle α as random

Keywords： secant piles     ultrasonic cross-hole testing     probabilistic analysis     reliability-based design     random    

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A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 6,   Pages 667-684 doi: 10.1007/s11709-022-0822-4

Abstract: The study uses the hardening soil (HS) model to develop a 200-sample finite element analysis (FEA) databaseConsequently, a system containing three trained ML models is proposed to first predict the stability status (randomdata-driven system is partially investigated by developing 1000 RFC models, based on the application of random

Keywords： finite element analysis     cantilever sheet wall     machine learning     artificial neural network     random forest    

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Named entity recognition for Chinese construction documents based on conditional random field

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 237-249 doi: 10.1007/s42524-021-0179-8

Abstract: This study presents a NER method for Chinese construction documents based on conditional random field

Keywords： NER     NLP     Chinese language     construction document    

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of catalyst temperature in automotive engines over coldstart operation in the presence of different random

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: current study is to develop a systematic stochastic model to capture the undesired uncertainty and randomHere, the authors introduce a random noise to experimentally derived data and simulate an uncertain database

Keywords： automotive engine     calibration     coldstart operation     Gaussian process regression machine (GPRM)     uncertainty and random    

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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: This method can be applied to steel structures under similar local random damage conditions.

Keywords： peridynamics     stochastic damage     bilateral notch crack    

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Intertidal area classification with generalized extreme value distribution and Markov random field in None

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 2,   Pages 253-264 doi: 10.1631/FITEE.1700462

Abstract: combine the generalized extreme value (GEV) statistical model of the polarization features and the Markov random

Keywords： Intertidal classification     Polarimetric synthetic aperture radar     Finite mixture model     Markov random field    

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Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Frontiers of Mechanical Engineering 2015, Volume 10, Issue 3,   Pages 277-286 doi: 10.1007/s11465-015-0348-8

Abstract:

This paper addresses the development of a random forest classifier for the multi-class fault diagnosisthrough the parameters’ space to find the best values for the number of trees and the number of randomthe application is identified and the best features are selected through the internal ranking of the random

Keywords： fault diagnosis     spur gearbox     wavelet packet decomposition     random forest    

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Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 361-366 doi: 10.1007/s11709-007-0048-5

Abstract: The methods for constructing safe basins of ships and predicting their survival probability in randomThe nonlinear differential equation of the rolling motion of ships in random beam seas was establishedconsidering nonlinear damping, nonlinear restoring moment, and random waves.The random rolling differential equation was solved in the time domain by applying the harmonic accelerationThe numerical simulation of random capsizing course was brought forward, the safe basins were constructed

Keywords： different     survival probability     different significant     nonlinear differential     narrowband    

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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

Application of random set method in a deep excavation: based on a case study in Tehran cemented alluvium

Arash SEKHAVATIAN, Asskar Janalizadeh CHOOBBASTI

Journal Article

Recent advances in multisensor multitarget tracking using random finite set

Kai Da, Tiancheng Li, Yongfeng Zhu, Hongqi Fan, Qiang Fu,dktm131@163.com,t.c.li@nwpu.edu.cn,zoyofo@163.com,fanhongqi@nudt.edu.cn

Journal Article

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

P. ZAKIAN

Journal Article

Simulation of heterogeneous two-phase media using random fields and level sets

George STEFANOU

Journal Article

Probabilistic analysis of secant piles with random geometric imperfections

Journal Article

A hierarchical system to predict behavior of soil and cantilever sheet wall by data-driven models

Nang Duc BUI; Hieu Chi PHAN; Tiep Duc PHAM; Ashutosh Sutra DHAR

Journal Article

Named entity recognition for Chinese construction documents based on conditional random field

Journal Article

of catalyst temperature in automotive engines over coldstart operation in the presence of different random

Nasser L. AZAD,Ahmad MOZAFFARI

Journal Article

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

Journal Article

Intertidal area classification with generalized extreme value distribution and Markov random field in

Ting-ting JIN, Xiao-qiang SHE, Xiao-lan QIU, Bin LEI

Journal Article

Fault diagnosis of spur gearbox based on random forest and wavelet packet decomposition

Diego CABRERA,Fernando SANCHO,René-Vinicio SÁNCHEZ,Grover ZURITA,Mariela CERRADA,Chuan LI,Rafael E. VÁSQUEZ

Journal Article

Analytical method of capsizing probability in the time domain for ships in the random beam seas

LIU Liqin, TANG Yougang, LI Hongxia

Journal Article