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Algebraic-stress Turbulent Model of Planar 2-D Pollutant Convection-Diffusion in Curvilinear Coordinates

Wu Xiuguang,Shen Yongming,Wang Min,Yang Zhifeng

Strategic Study of CAE 2005, Volume 7, Issue 7,   Pages 60-64

Abstract: The anisotropic algebraic-stress turbulent model is introduced to simulate the turbulence items, andalgebraic-stress turbulent model of planar 2-D pollutant convection-diffusion in curvilinear coordinatesThe meandering channel with measured data of concentration in lab is adopted to validate the model.and that of the k-ε model shows the model in the paper is superior to k-ε turbulentmodel in dealing with anisotropy.

Keywords： pollutant     convection-diffusion     anisotropic     algebraic-stress turbulent model     k-ε model    

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A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Strategic Study of CAE 2015, Volume 17, Issue 1,   Pages 137-142

Abstract:

This paper proposes a maximum reliable network interdiction model， which is to maximize the reliability， the number of paths between any given two nodes is exponential to the size of this graph， so this model

Keywords： interdiction model；k-reliability； duality； linear programming relaxation； complementary slackness    

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Three-dimensional numerical simulation of floodwater evolution with storm surge based on VOF method

Wang Xiaoling,Sun Yichao,Chen Huahong,Yang Limei,Sun Ruirui

Strategic Study of CAE 2011, Volume 13, Issue 12,   Pages 56-62

Abstract: ability of emergency response to storm surge disaster and ensure moistureproof safety, the 3D unsteady k-ε model coupled with the volume of fluid (VOF) method of water-air two-phase flow is establishedThe model adopts the method of equivalent roughness to deal with urban intensive building groups, in

Keywords： floodwater evolution with storm surge     volume of fluid (VOF) method     3D k-ε model     water depth distribution    

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Simulation on Flow Field Characteristic of Restricted Wall-attached Jet in Heading Face

Wang Haiqiao,Liu Ronghua,Chen Shiqiang

Strategic Study of CAE 2004, Volume 6, Issue 8,   Pages 45-49

Abstract: In this paper, based on hydrcxlynamic and jet theory, the turbulence k-ε model of restrained

Keywords： heading face     restricted wall-attached jet     k - ε model     numerical simulation    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: The k-nearest neighbor algorithm is used to classify the blocks as normal (without leakage)

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis     k-nearest    

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Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 299-310 doi: 10.1007/s11783-015-0825-7

Abstract: The k-nearest neighbor (k-NN) method was evaluated to predict the influent flow rate and four water qualitiesOverall, the k-NN method was verified to be useful for predicting WWTP influent characteristics.

Keywords： influent wastewater     prediction     data-driven model     k-nearest neighbor method (k-NN)    

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load carrying capacity of batter pile groups using neural network, random forest regression and M5 model

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 wereM5 model tree provides simple linear relation which can be used for the prediction of oblique load forModel developed using RF regression approach with smooth pile group data was found to be in good agreement

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

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Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

TUDU, K. K. MANDAL, N. CHAKRABORTY

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 269-283 doi: 10.1007/s11708-018-0573-z

Abstract: Initially, a prefeasibility study is conducted using the well-established HOMER (hybrid optimization model

Keywords： photovoltaic (PV)     wind     battery     nano-grid     hybrid optimization model for electric renewable (HOMER)     field-on-lab    

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Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 81-89 doi: 10.1007/s11708-014-0295-9

Abstract: In this paper a fuzzy logic (FL) based model reference adaptive system (MRAS) speed observer for higherror vector computation is made based on the rotor-flux derived from the reference and the adaptive model

Keywords： induction motor drive     fuzzy logic (FL) control     model reference adaptive system (MRAS)     photovoltaic (PV    

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Analysis of flow over backward facing step with transition

Dwarikanath RATHA,Arindam SARKAR

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 71-81 doi: 10.1007/s11709-014-0270-x

Abstract: The present study deals with the study of the velocity distribution and the separation phenomenon of flow of air over a two dimensional backward facing step. The flow of air over a backward facing step has been investigated numerically using FLUENT. Flow simulation has been carried out in a backward facing step having an expansion ratio (ratio of the height before and after the step) of 1:1.94 and the results obtained are compared with the published experimental results. Comparison of flow characteristics between steps with three different transitions is made. The variation of reattachment length for all the three cases are analyzed for wide range of Reynolds number ranging from 100 to 7000 which covers the laminar, transition and turbulent flow of air. Simulation of the flow over steps with expansion ratios of 1:1.24, 1:1.38, 1:1.47, 1:1.53, 1:1.94, 1:2.20 are also carried out to examine the effect of different expansion ratios on the reattachment length. It is found that the primary reattachment length increases with increase in the expansion ratio. The primary reattachment length at the bottom wall downstream of the step is minimum for the step with round edged transition and maximum for the step with a vertical drop transition.

Keywords： Reattachment length     backward facing step     transition     flow separation     k-? model    

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A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

K. LAM

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 483-489 doi: 10.15302/J-FEM-2017023

Abstract: Using the collected data, an extant mathematical model was calibrated to capture the relationships betweenBayesian inference was employed to calibrate the model by using prior data obtained from a previous controlled

Keywords： pedestrian flow model     bi-directional interactions     empirical studies     Bayesian inference    

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Update on Mayer–Rokitansky–Küster–Hauser syndrome

Frontiers of Medicine 2022, Volume 16, Issue 6,   Pages 859-872 doi: 10.1007/s11684-022-0969-3

Abstract: This review presents an update of Mayer–Rokitansky–Küster–Hauser (MRKH) syndrome on its etiologic, clinical, diagnostic, psychological, therapeutic, and reproductive aspects. The etiology of MRKH syndrome remains unclear due to its intrinsic heterogeneity. Nongenetic and genetic causes that may interact during the embryonic development have been proposed with no definitive etiopathogenesis identified. The proportion of concomitant extragenital malformations varies in different studies, and the discrepancies may be explained by ethnic differences. In addition to physical examination and pelvic ultrasound, the performance of pelvic magnetic resonance imaging is crucial in detecting the presence of rudimentary uterine endometrium. MRKH syndrome has long-lasting psychological effects on patients, resulting in low esteem, poor coping strategies, depression, and anxiety symptoms. Providing psychological counseling and peer support to diagnosed patients is recommended. Proper and timely psychological intervention could significantly improve a patient’s outcome. Various nonsurgical and surgical methods have been suggested for treatment of MRKH syndrome. Due to the high success rate and minimal risk of complications, vaginal dilation has been proven to be the first-line therapy. Vaginoplasty is the second-line option for patients experiencing dilation failure. Uterine transplantation and gestational surrogacy are options for women with MRKH syndrome to achieve biological motherhood.

Keywords： MRKH (Mayer–Rokitansky–Küster–Hauser) syndrome     etiology     clinical characteristic     diagnosis     treatment    

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Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 2, doi: 10.1007/s11783-020-1316-z

Abstract: Abstract • A predictive model for storage lipid/water distribution coefficient was developed. • Themodel yields outstanding fitting performance, robustness, and predictive ability. • Hydrophobic and electrostaticinteractions and molecular size dominate log Klip/w. • The model can be used in a wide application domainIn this work, a quantitative structure-property relationship (QSPR) model for estimating log Klip/w valuesand validation (Q2 = 0.960) results indicate good fitting performance and robustness of the developed model

Keywords： Storage lipid/water distribution coefficient     log Klip/w     Organic compounds     QSPR     Quantum    

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A Smart Pill for Insulin?

Elizabeth K. Wilson

Engineering 2019, Volume 5, Issue 4,   Pages 603-604 doi: 10.1016/j.eng.2019.07.008

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Stochastic analysis of laminated composite plate considering stochastic homogenization problem

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 unidirectional fiber reinforced composite laminae. In particular, influence of a microscopic random variation of the elastic properties of component materials on mechanical properties of the laminated plate is investigated. Laminated composites are widely used in civil engineering, and therefore multiscale stochastic analysis of laminated composites should be performed for reliability evaluation of a composite civil structure. This study deals with the stochastic response of a laminated composite plate against the microscopic random variation in addition to a random variation of fiber orientation in each lamina, and stochastic properties of the mechanical responses of the laminated plate is investigated. Halpin-Tsai formula and the homogenization theory-based finite element analysis are employed for estimation of effective elastic properties of lamina, and the classical laminate theory is employed for analysis of a laminated plate. The Monte-Carlo simulation and the first-order second moment method with sensitivity analysis are employed for the stochastic analysis. From the numerical results, importance of the multiscale stochastic analysis for reliability evaluation of a laminated composite structure and applicability of the sensitivity-based approach are discussed.

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

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Title Author Date Type Operation

Algebraic-stress Turbulent Model of Planar 2-D Pollutant Convection-Diffusion in Curvilinear Coordinates

Wu Xiuguang,Shen Yongming,Wang Min,Yang Zhifeng

Journal Article

A maximum reliable network interdiction model with limited resources

Zhao Jia and Yu Hua

Journal Article

Three-dimensional numerical simulation of floodwater evolution with storm surge based on VOF method

Wang Xiaoling,Sun Yichao,Chen Huahong,Yang Limei,Sun Ruirui

Journal Article

Simulation on Flow Field Characteristic of Restricted Wall-attached Jet in Heading Face

Wang Haiqiao,Liu Ronghua,Chen Shiqiang

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using Machine Vision Techniques

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article

Evaluation of the k-nearest neighbor method for forecasting the influent characteristics of wastewater

Minsoo KIM,Yejin KIM,Hyosoo KIM,Wenhua PIAO,Changwon KIM

Journal Article

load carrying capacity of batter pile groups using neural network, random forest regression and M5 model

K. ARORA

Journal Article

Optimal design and development of PV-wind-battery based nano-grid system: A field-on-laboratory demonstration

TUDU, K. K. MANDAL, N. CHAKRABORTY

Journal Article

Assessment of a fuzzy logic based MRAS observer used in a photovoltaic array supplied AC drive

Bhavnesh KUMAR, Yogesh K CHAUHAN, Vivek SHRIVASTAVA

Journal Article

Analysis of flow over backward facing step with transition

Dwarikanath RATHA,Arindam SARKAR

Journal Article

A Bayesian modeling approach to bi-directional pedestrian flows in carnival events

K. LAM

Journal Article

Update on Mayer–Rokitansky–Küster–Hauser syndrome

Journal Article

Developing the QSPR model for predicting the storage lipid/water distribution coefficient of organic

Miao Li, Jian Li, Yuchen Lu, Cenyang Han, Xiaoxuan Wei, Guangcai Ma, Haiying Yu

Journal Article

A Smart Pill for Insulin?

Elizabeth K. Wilson

Journal Article

Stochastic analysis of laminated composite plate considering stochastic homogenization problem

SAKATA,K. OKUDA,K. IKEDA

Journal Article