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Development and application of a random walk model of atmospheric diffusion in the emergency response

CHI Bing, LI Hong, FANG Dong

Frontiers in Energy 2007, Volume 1, Issue 2,   Pages 195-201 doi: 10.1007/s11708-007-0025-7

Abstract: Random characteristics of atmospheric diffusion itself was described, a random walk model of atmosphericdiffusion (Random Walk) was introduced and compared with the Lagrangian puff model (RIMPUFF) in theconcentrations calculated by the two models are quite close except that the plume area calculated by RandomWalk is a little smaller than that by RIMPUFF.The random walk model for atmospheric diffusion can simulate the atmospheric diffusion in case of nuclear

Keywords： RODOS     concentration prediction     information     nuclear     RIMPUFF    

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Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Strategic Study of CAE 2008, Volume 10, Issue 5,   Pages 75-78

Abstract:

General form of principle-agent model in integrated supply chain has been discussed from principle-agent Theories. Based on the above model, construction project supply chain one-period principle-agent model and multi-period construction project supply chain reputation model have been built with the characters of principle and agent of construction project integrated supply chain.

Keywords： principle- agent model     incentive compatibility     reputation model     random walk    

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The design and construction of cat walk system for Taizhou Bridge

Zhou Chang,Du Hongchi

Strategic Study of CAE 2010, Volume 12, Issue 4,   Pages 63-67

Abstract: The design and construction of cat walk system is critical to the installation of the superstructuresThe design of cat walk system of Taizhou Bridge chosen the continuous four-span structure without anti-windThis paper describes details and construction sequences of the overall design of the cat walk system

Keywords： suspension bridge     cat walk system     construction    

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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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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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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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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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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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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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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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Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 674-685 doi: 10.1007/s11709-018-0505-3

Abstract: M5 model tree, random forest regression (RF) and neural network (NN) based modelling approaches were

Keywords： batter piles     oblique load test     neural network     M5 model tree     random forest regression     ANOVA    

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Probability strength design of steam turbine blade and sensitivity analysis with respect to random parameters

DUAN Wei

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 107-115 doi: 10.1007/s11708-008-0018-1

Abstract: Geometrical parameters, material parameters and load parameters of the blade are considered as input randomvariables while the maximum deflection and maximum equivalent stress are output random variables.input variables, is applied to evaluate how much the output parameters are influenced by the randomThe scatter plots of structural responses with respect to the random input variables are illustratedto analyze how to change the input random variables to improve the reliability of the blade.

Keywords： Probability sensitivity     sensitivity analysis     number     cross-section     statistical    

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Title Author Date Type Operation

Development and application of a random walk model of atmospheric diffusion in the emergency response

CHI Bing, LI Hong, FANG Dong

Journal Article

Analysis on the principle-agent model in construction project supply chain

Wu Yuhua,Zhang Qingmin

Journal Article

The design and construction of cat walk system for Taizhou Bridge

Zhou Chang,Du Hongchi

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

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

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

Xi F. XU

Journal Article

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

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

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

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

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regression

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article

Probability strength design of steam turbine blade and sensitivity analysis with respect to random parameters

DUAN Wei

Journal Article