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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: main scope of the current study is to develop a systematic stochastic model to capture the undesired uncertaintyand random noises on the key parameters affecting the catalyst temperature over the coldstart operationHowever, there exist rare reports which propose an efficient tool for coping with the uncertainty associatedHere, 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)     uncertaintyand random noises    

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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 RandomMoreover, a methodology for assessing the credibility of the uncertainty model is presented using a quality

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

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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: In doing so, it presents a new framework to study how the correlation length of a random field (RF) withIt considers: 1) different correlation lengths for uncertainty parameters, and 2) dead and live loads

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

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Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs Article

Junling Fang, Bin Gong, Jef Caers

Engineering 2022, Volume 18, Issue 11,   Pages 116-128 doi: 10.1016/j.eng.2022.04.015

Abstract: Bayesian theorem provides a framework to quantify the uncertainty in geological modeling and flow simulationThe results show that the methods we propose are effective in quantifying uncertainty in the modeling

Keywords： Bayesian evidential learning     Falsification     Fractured reservoir     Random forest     Approximate Bayesian computation    

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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 randomThe integrity of the secant-pile wall can be overestimated without considering the uncertainty of geometric

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

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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: 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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Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 2,   Pages 231-241 doi: 10.1007/s11783-012-0431-x

Abstract: The various forms of uncertainty that firms may face in bankable emission permit trading markets willThis research explores the effect of increased uncertainty over future input costs and output pricesIncreased uncertainty about future market conditions increases the expected permit price and causes aFinally, safety valves, both low-side and high-side, are suggested to reduce the impact of uncertainty

Keywords： uncertainty     bankable     emission trading     market performance    

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Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Frontiers of Engineering Management 2019, Volume 6, Issue 2,   Pages 275-298 doi: 10.1007/s42524-019-0022-7

Abstract: This paper examines the uncertainty events encountered in the process of constructing highways, and evaluatesThe research made use of a review of extant literature in the area of uncertainty management, and modelingAn uncertainty matrix for South African highway projects was developed, using a quantitative model andIt emerged from the study that the uncertainty events affecting the construction time of highway projectstime differently, through a combination of the uncertainty events of the individual construction activities

Keywords： ANFIS     construction time     impact assessment     highway project     South Africa     uncertainty    

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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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Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Strategic Study of CAE 2005, Volume 7, Issue 10,   Pages 16-22

Abstract:

Based on comprehensive discussion on the connotation of generalized uncertainty systems theory, thispaper discusses the extension of generalized uncertainty systems theory as well as the basic frame andIt is a base to study generalized uncertainty systems theory.

Keywords： generalized uncertainty information     uncertainty mathematics     generalized uncertainty systems theory    

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Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

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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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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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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Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 306-325 doi: 10.1007/s11709-022-0890-5

Abstract: This paper numerically studied the effect of uncertainty and random distribution of concrete strengthCapability of lattice modeling was highlighted as an efficient tool to account for uncertainty in statisticalThe scatter of random load-capacities was higher in flexure (range: 0.680–0.990) than that of shear (

Keywords： lattice modeling     shear failure     flexural failure     uncertainty     deficiency     numerical simulation    

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Title Author Date Type Operation

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

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

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

Abbas YAZDANI

Journal Article

Data-Driven Model Falsification and Uncertainty Quantification for Fractured Reservoirs

Junling Fang, Bin Gong, Jef Caers

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

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

Xi F. XU

Journal Article

Modeling the impact of uncertainty in emissions trading markets with bankable permits

Yongliang ZHANG, Bing ZHANG, Jun BI, Pan HE

Journal Article

Key uncertainty events impacting on the completion time of highway construction projects

Alireza MOGHAYEDI, Abimbola WINDAPO

Journal Article

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

Journal Article

Comprehensive Discussion on the Extension of Generalized Uncertainty Systems Theory

Wang Qingyin,Lii Ruihua

Journal Article

Characterization of random stress fields obtained from polycrystalline aggregate calculations using multi-scale

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

Journal Article

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

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

Uncertainty of concrete strength in shear and flexural behavior of beams using lattice modeling

Journal Article