Resource Type

Journal Article 285

Conference Videos 3

Year

2023 10

2022 17

2021 20

2020 16

2019 13

2018 19

2017 12

2016 10

2015 8

2014 12

2013 8

2012 10

2011 12

2010 21

2009 10

2008 22

2007 39

2006 11

2005 3

2004 3

open ︾

Keywords

influence 19

coefficient 13

temperature 5

friction coefficient 4

influence factor 4

numerical simulation 4

Influence 3

heat transfer coefficient 3

BIM 2

BNLAS 2

Haze 2

Particle Swarm Optimization (PSO) 2

calculation 2

constant 2

diameter 2

effective diffusion coefficient 2

efficiency coefficient of coordination 2

multiple optimization coordination model 2

numeric example 2

open ︾

Search scope:

排序: Display mode:

Influence of temperature on cam-tappet lubrication in an internal combustion engine

CHANG Qiuying, YANG Peiran, WANG Jing, CHEN Quanshi

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 4,   Pages 489-492 doi: 10.1007/s11465-007-0085-8

Abstract: Although by employing the two models the center pressure, the thickness of the lubricant film and friction coefficient

Keywords: coefficient     combustion     isothermal elastohydrodynamic     temperature     thickness    

Influence of initial curing conditions and exposure environments on chloride migration in concrete using

Wen XUE, Weiliang JIN, Hiroshi YOKOTA,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 348-353 doi: 10.1007/s11709-010-0077-3

Abstract: To investigate the influence of initial curing conditions and exposure environments on chloride ions&that the initial curing conditions and the wet-dry interval of external environments have coupling influenceon effective diffusion coefficient of chloride ion significantly.

Keywords: durability     effective diffusion coefficient     steady-state     migration test    

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Frontiers in Energy 2009, Volume 3, Issue 4,   Pages 446-455 doi: 10.1007/s11708-009-0042-9

Abstract: Accurate performance simulation and understanding of gas turbine engines is very useful for gas turbine manufacturers and users alike and such a simulation normally starts from its design point. When some of the engine component parameters for an existing engine are not available, they must be estimated in order that the performance analysis can be started. Therefore, the simulated design point performance of an engine may be slightly different from its actual performance. In this paper, two nonlinear gas turbine design-point performance adaptation approaches have been presented to best estimate the unknown component parameters and match available design point engine performance, one using a nonlinear matrix inverse adaptation method and the other using a Genetic Algorithm-based adaptation approach. The advantages and disadvantages of the two adaptation methods have been compared with each other. In the approaches, the component parameters may be compressor pressure ratios and efficiencies, turbine entry temperature, turbine efficiencies, engine mass flow rate, cooling flows, and by-pass ratio, etc. The engine performance parameters may be thrust and SFC for aero engines, shaft power, and thermal efficiency for industrial engines, gas path pressures, temperatures, etc. To select the most appropriate to-be-adapted component parameters, a sensitivity bar chart is used to analyze the sensitivity of all potential component parameters against the engine performance parameters. The two adaptation approaches have been applied to a model gas turbine engine. The application shows that the sensitivity bar chart is very useful in the selection of the to-be-adapted component parameters, and both adaptation approaches are able to produce good quality engine models at design point. The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is faster and more accurate, while the genetic algorithm-based adaptation method is more robust but slower. Theoretically, both adaptation methods can be extended to other gas turbine engine performance modelling applications.

Keywords: gas turbine     engine     performance adaptation     performance matching     design-point performance simulation     influencecoefficient matrix     genetic algorithm    

Balancing method without trial weights for rotor systems based on similitude scale model

Ruiduo YE, Liping WANG, Xiaojie HOU, Zhong LUO, Qingkai HAN

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 4,   Pages 571-580 doi: 10.1007/s11465-018-0478-x

Abstract: First, with the rotor system as the research object, the analytical expression of the influence coefficientcoefficient were deduced on the basis of dynamic similitude theory.coefficient.The effect of the balancing method without trial weights was compared with that of the traditional influencecoefficient method through numerical simulation, and the results verified the correctness and effectiveness

Keywords: rotor system     dynamic similitude     balancing     without trial weights     influence coefficient    

RETRACTED ARTICLE: Momentum exchange coefficient for two jet flows mixing in a tee junction

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 12,   Pages 2161-2161 doi: 10.1007/s11705-009-0143-3

Abstract: RETRACTED ARTICLE: Momentum exchange coefficient for two jet flows mixing in a tee junction

Keywords: tee junction     Momentum exchange coefficient     RETRACTED    

Experimental study of heat transfer coefficient with rectangular baffle fin of solar air heater

Foued CHABANE,Nesrine HATRAF,Noureddine MOUMMI

Frontiers in Energy 2014, Volume 8, Issue 2,   Pages 160-172 doi: 10.1007/s11708-014-0321-y

Abstract: The heat transfer coefficient between the absorber plate and air can be considerably increased by using

Keywords: Nusselt number     flow rate     heat transfer     heat transfer coefficient     thermal efficiency     forced convection    

A photolysis coefficient for characterizing the response of aqueous constituents to photolysis

David R. HOKANSON,Ke LI,R. Rhodes TRUSSELL

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 3,   Pages 428-437 doi: 10.1007/s11783-015-0780-3

Abstract: Quantum yield ( ) and molar absorption coefficient ( ) are the two critical parameters measuring theIt was shown that this product, named the photolysis coefficient, , can be determined using standardThe development showed the photolysis coefficient to be equally useful for microbiological, inorganicValues of calculated by the authors based on quantum yield and molar absorption coefficient data from

Keywords: UV photolysis     disinfection     advanced oxidation     N-nitrosodimethylamine     quantum yield     absorption coefficient    

Effect of heat transfer coefficient of steam turbine rotor on thermal stress field under off-design condition

Jie GUO,Danmei XIE,Hengliang ZHANG,Wei JIANG,Yan ZHOU

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 57-64 doi: 10.1007/s11708-015-0385-3

Abstract: significance for safe and economic operation, in which an accurate calculation of heat transfer (HT) coefficientHT coefficient changes dramatically along with working conditions.influence on that of rotor temperature and thermal stress, which means a precise empirical HT coefficientWhen steam parameters are high and HT coefficient is larger than 10 W/(m ·°C), there will be barelyany influence on the calculation of thermal stress.

Keywords: steam turbine     rotor     thermal stress     heat transfer coefficient     empirical formula    

Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 224-238 doi: 10.1007/s11709-022-0812-6

Abstract: The consolidation coefficient of soil (Cv) is a crucial parameter used for the designThe performance of the proposed models was assessed via statistical indicators, namely Coefficient of

Keywords: soil consolidation coefficient     machine learning     random forest     Relief    

Identifying spreading influence nodes for social networks

Frontiers of Engineering Management   Pages 520-549 doi: 10.1007/s42524-022-0190-8

Abstract: The identification of spreading influence nodes in social networks, which studies how to detect importantThe identification algorithms of spreading influence nodes can be used to evaluate the spreading influenceThis review summarizes the recent progress about the identification algorithms of spreading influenceand performance evaluation metrics, and outline future challenges of the identification of spreading influence

Keywords: complex network     network science     spreading influence     machine learning    

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. • TheThe storage lipid/water distribution coefficient (log Klip/w) of organic chemicals, which quantitativelyQuantum chemical descriptors and n-octanol/water partitioning coefficient were employed to characterize

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

Heat transfer coefficient of wheel rim of large capacity steam turbines

SHI Jinyuan, DENG Zhicheng, YANG Yu, JUN Ganwen

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 20-24 doi: 10.1007/s11708-008-0015-4

Abstract: A way of calculating the overall equivalent heat transfer coefficient of wheel rims of large capacityThe method and formula to calculate the mean forced convection heat-transfer coefficient of the surfaceA fin heat transfer model was then used to calculate the equivalent heat transfer coefficient of theThe overall equivalent heat transfer coefficient of the wheel rim was then calculated using a cylindrical

Keywords: convection heat-transfer     capacity     heat-transfer coefficient     bottom     transmission    

Diagnosis method based on wavelet coefficient scale relativity correlation dimension for fault

GU Junjie, TIAN Jin, PENG Xuezhi

Frontiers in Energy 2008, Volume 2, Issue 2,   Pages 164-168 doi: 10.1007/s11708-008-0031-4

Abstract: Correlation dimension as a tool to describe machinery condition is introduced. Vibration signals of the fan under different working conditions are analyzed using a threshold filtering algorithm based on the region relativity of the wavelet coefficients for reducing noise. The result shows that the characteristics of the signal could be preserved completely. The correlation dimension is able to identify conditions of the fan with faults compared with the normal condition, thereby providing an effective technology for condition monitoring and fault diagnosis of mechanical equipment.

Keywords: effective technology     monitoring     mechanical equipment     relativity     Correlation    

Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments

Frontiers of Engineering Management   Pages 550-562 doi: 10.1007/s42524-022-0193-5

Abstract: Wearing masks is an easy way to operate and popular measure for preventing epidemics. Although masks can slow down the spread of viruses, their efficacy in gathering environments involving heterogeneous person-to-person contacts remains unknown. Therefore, we aim to investigate the epidemic prevention effect of masks in different real-life gathering environments. This study uses four real interpersonal contact datasets to construct four empirical networks to represent four gathering environments. The transmission of COVID-19 is simulated using the Monte Carlo simulation method. The heterogeneity of individuals can cause mask efficacy in a specific gathering environment to be different from the baseline efficacy in general society. Furthermore, the heterogeneity of gathering environments causes the epidemic prevention effect of masks to differ. Wearing masks can greatly reduce the probability of clustered epidemics and the infection scale in primary schools, high schools, and hospitals. However, the use of masks alone in primary schools and hospitals cannot control outbreaks. In high schools with social distancing between classes and in workplaces where the interpersonal contact is relatively sparse, masks can meet the need for prevention. Given the heterogeneity of individual behavior, if individuals who are more active in terms of interpersonal contact are prioritized for mask-wearing, the epidemic prevention effect of masks can be improved. Finally, asymptomatic infection has varying effects on the prevention effect of masks in different environments. The effect can be weakened or eliminated by increasing the usage rate of masks in high schools and workplaces. However, the effect on primary schools and hospitals cannot be weakened. This study contributes to the accurate evaluation of mask efficacy in various gathering environments to provide scientific guidance for epidemic prevention.

Keywords: COVID-19     masks     behavioral heterogeneity     asymptomatic infection    

Social Influence Analysis: Models, Methods, and Evaluation Review

Kan Li, Lin Zhang, Heyan Huang

Engineering 2018, Volume 4, Issue 1,   Pages 40-46 doi: 10.1016/j.eng.2018.02.004

Abstract:

Social influence analysis (SIA) is a vast research field that has attracted research interest in manyMicroscopic models consider human interactions and the structure of the influence process, whereas macroscopicWe analyze social influence methods including influence maximization, influence minimization, flow ofinfluence, and individual influence.In social influence evaluation, influence evaluation metrics are introduced and social influence evaluation

Keywords: Social influence analysis     Online social networks     Social influence analysis models     Influence evaluation    

Title Author Date Type Operation

Influence of temperature on cam-tappet lubrication in an internal combustion engine

CHANG Qiuying, YANG Peiran, WANG Jing, CHEN Quanshi

Journal Article

Influence of initial curing conditions and exposure environments on chloride migration in concrete using

Wen XUE, Weiliang JIN, Hiroshi YOKOTA,

Journal Article

Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Journal Article

Balancing method without trial weights for rotor systems based on similitude scale model

Ruiduo YE, Liping WANG, Xiaojie HOU, Zhong LUO, Qingkai HAN

Journal Article

RETRACTED ARTICLE: Momentum exchange coefficient for two jet flows mixing in a tee junction

Journal Article

Experimental study of heat transfer coefficient with rectangular baffle fin of solar air heater

Foued CHABANE,Nesrine HATRAF,Noureddine MOUMMI

Journal Article

A photolysis coefficient for characterizing the response of aqueous constituents to photolysis

David R. HOKANSON,Ke LI,R. Rhodes TRUSSELL

Journal Article

Effect of heat transfer coefficient of steam turbine rotor on thermal stress field under off-design condition

Jie GUO,Danmei XIE,Hengliang ZHANG,Wei JIANG,Yan ZHOU

Journal Article

Dimensionality reduction and prediction of soil consolidation coefficient using random forest coupling

Hai-Bang LY; Huong-Lan Thi VU; Lanh Si HO; Binh Thai PHAM

Journal Article

Identifying spreading influence nodes for social networks

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

Heat transfer coefficient of wheel rim of large capacity steam turbines

SHI Jinyuan, DENG Zhicheng, YANG Yu, JUN Ganwen

Journal Article

Diagnosis method based on wavelet coefficient scale relativity correlation dimension for fault

GU Junjie, TIAN Jin, PENG Xuezhi

Journal Article

Heterogeneous influence of individuals’ behavior on mask efficacy in gathering environments

Journal Article

Social Influence Analysis: Models, Methods, and Evaluation

Kan Li, Lin Zhang, Heyan Huang

Journal Article