Resource Type

Journal Article 1649

Conference Videos 27

Year

2024 3

2023 130

2022 141

2021 133

2020 131

2019 83

2018 83

2017 83

2016 64

2015 75

2014 67

2013 63

2012 64

2011 51

2010 64

2009 67

2008 73

2007 65

2006 38

2005 40

open ︾

Keywords

neural network 32

artificial neural network 21

numerical simulation 21

model test 15

optimization 15

mathematical model 14

model 13

simulation 12

Deep learning 11

Machine learning 11

Neural network 11

genetic algorithm 11

Artificial intelligence 9

kinetic model 8

COVID-19 7

convolutional neural network 7

China 6

artificial neural network (ANN) 6

finite element method 6

open ︾

Search scope:

排序: Display mode:

A novel flow-resistor network model for characterizing enhanced geothermal system heat reservoir

Jian GUO, Wenjiong CAO, Yiwei WANG, Fangming JIANG

Frontiers in Energy 2019, Volume 13, Issue 1,   Pages 99-106 doi: 10.1007/s11708-018-0555-1

Abstract: This paper presents the development of a novel flow-resistor network model to describe the hydraulicnetwork of the heat reservoir is converted into a flow-resistor network with a reasonably simple patternFor heat reservoirs with various fracture configurations, the corresponding flow-resistor networks areIn this paper, numerous cases of different section numbers and resistor values are calculated and theThe results provide insight on the tortuosity of the flow path between different wells.

Keywords: enhanced geothermal systems     flow-resistor network model     fracture characteristics     heat reservoir    

Multi-class dynamic network traffic flow propagation model with physical queues

Yanfeng LI, Jun LI

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 399-407 doi: 10.15302/J-FEM-2017041

Abstract: This paper proposes an improved multi-class dynamic network traffic flow propagation model with a considerationEach link is divided into two areas: Free flow area and queue area.link, and the vehicles of the different classes also follow FIFO in the queue area but not in the free flowof the improved model.This analysis can more realistically capture the traffic flow propagation, such as interactions between

Keywords: first-in-first-out (FIFO)     multi-class traffic     physical queues     traffic flow modeling    

Theoretical study on flow and radiation in tubular solar photocatalytic reactor

Frontiers in Energy 2021, Volume 15, Issue 3,   Pages 687-699 doi: 10.1007/s11708-021-0773-9

Abstract: In this paper, based on the mixture flow model, an optimized six-flux model is first established andIt is found that, at the outlet of the reactor, the optimized six-flux model has better performances

Keywords: photocatalytic hydrogen photoreactor     nume- rical simulation     solar energy     flow model     radiation model    

Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligentprediction based on a back propagation neural network

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 8, doi: 10.1007/s11783-023-1697-x

Abstract:

● Titanium-based flow-through electrode achieved high Cr(VI) reduction

Keywords: Flow-through electrode     Hexavalent chromium     Heavy metals     Neural network     Artificial intelligence    

The Study on Steady Flow and Transient Flow Mathematical Models for City’s Water Distribution PipelineNetwork

Wang Shoudong,Shen Yongming,Jiang Hengzhi

Strategic Study of CAE 2007, Volume 9, Issue 12,   Pages 26-30

Abstract: text-align: justify;">Firstly,  based on node equation method,  a water distribution pipeline networksteady flow mathematical model is established and is solved by using the Newton iteration method. Secondly,  the mathematic model for transient flow set up by characteristic method can bethese models can be applied to hydraulic balance calculation for city's water distribution pipeline network

Keywords: water distribution pipeline network     steady flow     transient flow     water hammer     Newton’s iteration method    

Decontamination efficiency and root structure change in the plant-intercropping model in vertical-flow

Yonghua CHEN, Xiaofu WU, Mingli CHEN, Kelin LI, Jing PENG, Peng ZHAN

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 6,   Pages 906-912 doi: 10.1007/s11783-013-0579-z

Abstract: Three contrasting experiments, the plant-intercropping model (A), the warm-seasonal plant model (B),change in root structure of plants in the plant-intercropping model within the vertical-flow constructedThe results indicate that model A was able to solve the aforementioned problem.than those observed using model B during the lower temperature part of the year ( <0.01).cold-seasonal plants with major growth advantages used in A were capable of creating a more favorable vertical-flow

Keywords: vertical-flow constructed wetlands     plant intercropping model     warm seasonal plant model    

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition resultsSecond, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault

Keywords: fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

Microdamage study of granite under thermomechanical coupling based on the particle flow code

Frontiers of Structural and Civil Engineering   Pages 1413-1427 doi: 10.1007/s11709-023-0953-2

Abstract: In this study, an improved temperature-dependent linear parallel bond model is introduced under the frameworkof a particle flow simulation.thermomechanical coupling tests are then conducted to calibrate the micro-parameters of the proposed modelWith this improved model, the thermodynamic response and underlying cracking behavior of a deep-buried

Keywords: thermomechanical coupling effect     granite     improved linear parallel bond model     thermal property     particleflow code    

Pressure Drop Characteristics of Flow Boiling in Microchannel With Low Aspect Ratio

Zhang Binglei,Xu Jinliang and Xiao Zejun

Strategic Study of CAE 2007, Volume 9, Issue 12,   Pages 86-93

Abstract: The present experimental data were compared with the predictions of the homogeneous flow model and separatedflow model respectively.The comparison indicates that the homogeneous flow model cannot predict the twophase pressure drop wellexcept using the twophase viscosity model of the Dukler correlation.model also failed to predict the twophase pressure drop in the microchannel of this study .

Keywords: pressure drop characteristics;homogeneous flow model;separated flow model;microchannel;flow boiling    

Industrial Ecosystems and Food Webs: An Ecological-Based Mass Flow Analysis to Model the Progress of Article

Stephen M. Malone, Marc J. Weissburg, Bert Bras

Engineering 2018, Volume 4, Issue 2,   Pages 209-217 doi: 10.1016/j.eng.2018.03.008

Abstract: structure and flows of materials in the Chinese steel industry over time by means of a systems-based mass flow

Keywords: Ecological network analysis     Mass flow analysis     Steel manufacturing    

Extended two-fluid model applied to analysis of bubbly flow in multiphase rotodynamic pump impeller

Zhiyi YU, Guoyu WANG, Shuliang CAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1,   Pages 53-59 doi: 10.1007/s11465-009-0006-0

Abstract: This paper presents an extended two-fluid model based on the Navier-Stokes equations and the standardturbulence model, to simulate the three-dimensional air-water bubbly flow in turbo machinery.Simulation is then carried out for the pure liquid flow and air-water two-phase flow with the inlet gasComparison with experimental results shows the reliability and commonality of the numerical model.

Keywords: two-fluid model     multiphase rotodynamic pump     SIMPLEC algorithm     numerical simulation    

Study on three-dimensional numerical model for shallow water flow

Ding Daoyang,Wu Shiqiang

Strategic Study of CAE 2010, Volume 12, Issue 2,   Pages 32-39

Abstract:

A three-dimensional numerical model for shallow flow based on a layer-integratedThe experiment data in mending channel flow is selected to verify the proposed model.Therefore, the present 3D shallow flow model is a robust and efficient tool for simulating the shallowflow hydrodynamics.

Keywords: three-dimensional flow model     numerical simulation     mending channel     shallow water flow    

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Frontiers in Energy doi: 10.1007/s11708-023-0891-7

Abstract: AI, to lithium-ion battery state of health (SOH), focusing on the advantages and strengths of neural networkReports so far have shown that the utilization of NN to model the SOH of lithium-ion batteries has theby, first, utilizing more field data to play a more practical role in health feature screening and model

Keywords: machine learning     lithium-ion battery     state of health     neural network     artificial intelligence    

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 flowThe 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 theComparison of flow characteristics between steps with three different transitions is made.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:

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

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Strategic Study of CAE 2004, Volume 6, Issue 3,   Pages 68-74

Abstract: The relevant underlying physical assumptions are presented first and the conventional model performance

Keywords: compartment     field model     zone model     network model     FZN (field     zone and network) model     empirical model    

Title Author Date Type Operation

A novel flow-resistor network model for characterizing enhanced geothermal system heat reservoir

Jian GUO, Wenjiong CAO, Yiwei WANG, Fangming JIANG

Journal Article

Multi-class dynamic network traffic flow propagation model with physical queues

Yanfeng LI, Jun LI

Journal Article

Theoretical study on flow and radiation in tubular solar photocatalytic reactor

Journal Article

Electroreduction of hexavalent chromium using a porous titanium flow-through electrode and intelligentprediction based on a back propagation neural network

Journal Article

The Study on Steady Flow and Transient Flow Mathematical Models for City’s Water Distribution PipelineNetwork

Wang Shoudong,Shen Yongming,Jiang Hengzhi

Journal Article

Decontamination efficiency and root structure change in the plant-intercropping model in vertical-flow

Yonghua CHEN, Xiaofu WU, Mingli CHEN, Kelin LI, Jing PENG, Peng ZHAN

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Microdamage study of granite under thermomechanical coupling based on the particle flow code

Journal Article

Pressure Drop Characteristics of Flow Boiling in Microchannel With Low Aspect Ratio

Zhang Binglei,Xu Jinliang and Xiao Zejun

Journal Article

Industrial Ecosystems and Food Webs: An Ecological-Based Mass Flow Analysis to Model the Progress of

Stephen M. Malone, Marc J. Weissburg, Bert Bras

Journal Article

Extended two-fluid model applied to analysis of bubbly flow in multiphase rotodynamic pump impeller

Zhiyi YU, Guoyu WANG, Shuliang CAO

Journal Article

Study on three-dimensional numerical model for shallow water flow

Ding Daoyang,Wu Shiqiang

Journal Article

Machine learning and neural network supported state of health simulation and forecasting model for lithium-ion

Journal Article

Analysis of flow over backward facing step with transition

Dwarikanath RATHA,Arindam SARKAR

Journal Article

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Journal Article