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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 RandomSet (RS) method.

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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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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XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 335-356 doi: 10.1007/s11465-012-0351-2

Abstract:

In this paper, some elegant extended finite element method (XFEM) schemes for level set method structuralproposed XFEM is a promising structural analysis approach for structural optimization with the level set

Keywords： structural optimization     level set method     extended finite element method (XFEM)     computational accuracy    

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Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Rajarshi PRAMANIK, Dilip Kumar BAIDYA, Nirjhar DHANG

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 478-489 doi: 10.1007/s11709-021-0698-8

Abstract: reliability theory on surface square/rectangular footing against bearing capacity failure using fuzzy settheory in conjunction with the finite element method.

Keywords： finite element method     square footing     reliability analysis     fuzzy set theory     coefficient of variation     spatial    

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A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain Research Articles

Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 8,   Pages 1114-1126 doi: 10.1631/FITEE.2000209

Abstract: heuristic approach for optimizing the posterior density of the data association tracking algorithm via the randomfinite set (RFS) theory.adjusted version of the joint probabilistic data association (JPDA) filter, known as the nearest-neighbor set

Keywords： 目标跟踪；滤波理论；随机有限集理论；贝叶斯方法；马尔可夫链    

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A novel algorithm to counter cross-eye jamming based on a multi-target model Research Articles

Zhi-yong SONG, Xing-lin SHEN, Qiang FU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 7,   Pages 988-1001 doi: 10.1631/FITEE.1800394

Abstract: the jamming mechanism, a multi-target model for a cross-eye jamming scenario is established within a randomfinite set framework.

Keywords： Particle identity labels     Probability hypothesis density     Cross-eye jamming     Anti-jamming     Random finiteset     Monopulse radar    

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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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Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 3,   Pages 390-405 doi: 10.1007/s11465-020-0588-0

Abstract: The level set method (LSM), which is transplanted from the computer graphics field, has been successfullyIn this study, a level set band method is proposed to overcome this drawback in handling topology changesin the level set framework.the continuity of objective and constraint functions by incorporating one parameter, namely, level setThe proposed method demonstrates a flexible topology change by applying a certain size of the level set

Keywords： level set method     topology optimization     density-based method     level set band    

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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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Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

Frontiers of Engineering Management 2018, Volume 5, Issue 4,   Pages 499-506 doi: 10.15302/J-FEM-2018031

Abstract: We define a special conflict graph on the basis of a set of acceptable train routes.aims to solve the classical combinatorial optimization problem in relation to the maximum independent setthese constructions, the lower and upper bounds for the number of vertices in the maximum independent set

Keywords： independent set     algorithm     planning of transportation     two-sided estimate    

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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 randoma high performance of RFC on the database with medians of accuracy, precision, and recall, on test setThe regression ANN models have coefficient of determinations on test set, as high as 0.9521 for RANN1

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

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Title Author Date Type Operation

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

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

XFEM schemes for level set based structural optimization

Li LI, Michael Yu WANG, Peng WEI

Journal Article

Reliability assessment of three-dimensional bearing capacity of shallow foundation using fuzzy set theory

Rajarshi PRAMANIK, Dilip Kumar BAIDYA, Nirjhar DHANG

Journal Article

A random finite set based joint probabilistic data association filter with non-homogeneous Markov chain

Yun Zhu, Shuang Liang, Xiaojun Wu, Honghong Yang,yunzhu@snnu.edu.cn,xjwu@snnu.edu.cn

Journal Article

A novel algorithm to counter cross-eye jamming based on a multi-target model

Zhi-yong SONG, Xing-lin SHEN, Qiang FU

Journal Article

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

P. ZAKIAN

Journal Article

Level set band method: A combination of density-based and level set methods for the topology optimization

Peng WEI, Wenwen WANG, Yang YANG, Michael Yu WANG

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

Maximum independent set in planning freight railway transportation

Gainanov Damir N., Mladenovic NENAD, Rasskazova V. A.

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