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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    

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A modified zone model for estimating equivalent room thermal capacity

Hua CHEN, Xiaolin WANG

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 351-357 doi: 10.1007/s11708-013-0254-x

Abstract: The zone model has been widely applied in control analysis of heating, ventilation and air conditioningThis paper proposed a modified zone model which is much simpler in the HVAC system simulation and hasthe similar accuracy to the complicated simulation model.The thermal admittance for the building enclosure was developed based on the building thermal networkThe efficacy of the proposed model was demonstrated by comparing it with the complicated model — heat

Keywords： room model     thermal network analysis     transfer function     heating     ventilation and air conditioning (HVAC)    

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Applying the multi-zone model in predicting the operating range of HCCI engines

Ming JIA, Maozhao XIE, Zhijun PENG,

Frontiers in Energy 2010, Volume 4, Issue 3,   Pages 414-423 doi: 10.1007/s11708-010-0108-8

Abstract: In this paper, a multi-zone model is developed to predict the operating range of homogeneous charge compressionsimulating an HCCI engine fueled with iso-octane, the knock and cycle-to-cycle variations predicted by the modeldifferent initial temperatures and equivalence ratios; the operating range was also well reproduced by the modelFurthermore, the model was applied to predict the operating range of the HCCI engine under different

Keywords： homogeneous charge compression ignition (HCCI) engine     multi-zone     operating range    

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Isogeometric cohesive zone model for thin shell delamination analysis based on Kirchhoff-Love shell model

Tran Quoc THAI, Timon RABCZUK, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 267-279 doi: 10.1007/s11709-019-0567-x

Abstract: We present a cohesive zone model for delamination in thin shells and composite structures.The isogeometric (IGA) thin shell model is based on Kirchhoff-Love theory.The fracture process zone is modeled by interface elements with a cohesive law.

Keywords： cohesive zone model     IGA     Kirchhoff-Love model     thin shell analysis     delamination    

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Cohesive zone model-based analyses of localized leakage of segmentally lined tunnels

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 503-521 doi: 10.1007/s11709-023-0927-4

Abstract: approach for simulating the localized leakage behavior of segmentally lined tunnels based on a cohesive zonemodel.

Keywords： segmentally lined tunnel     localized leakage     cohesive element     hydraulic behavior     numerical modeling    

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The Zone and Numerical Simulation on the Tunnel Fire

Li Yuanzhou,Huo Ran,Yi Liang,Shi Congling,Zhou Yunji

Strategic Study of CAE 2004, Volume 6, Issue 2,   Pages 67-72

Abstract: In this paper, given a tunnel, the smoke development in different situations was simulated using zonemodel (CFAST) with the multi-cell concept and field model (FDS).

Keywords： tunnel fire     zone model     field model     smoke development    

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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    

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Cell-Zone Method: An Engineering Approach to Predict Smoke Movement in Large Scale Building Fire

Hu Longhua,Huo Ran,Liy Uanzhou,Wang Haobo

Strategic Study of CAE 2003, Volume 5, Issue 8,   Pages 59-63

Abstract: scale building fire, it is improper to predict smoke descending using traditional simple two-layer zonemodel, which divides the total space of the building into upper hot smoke layer and lower cool air layerIn this paper, an improved method, named Cell-Zone Method, is used to solve this problem, which firstdivides the total space into some small subspaces and then uses traditional two-layer zone model inzone model in large scale building, especially in buildings having large scale in one direction.

Keywords： large scale building     smoke movement     cell-zone method     zone-model    

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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    

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A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 5,   Pages 1066-1082 doi: 10.1007/s11709-020-0651-2

Abstract: A constrained back propagation neural network (C-BPNN) model for standard penetration test based soilThe C-BPNN model design procedure for liquefaction assessment is established by considering appropriatefines content adjustment are shown to be able to improve the prediction success rate of the neural networkmodel, and are thus adopted as constraints for the C-BPNN model.The C-BPNN liquefaction model is shown to have improved prediction accuracy and high global adaptability

Keywords： soil liquefaction assessment     case history dataset     constrained neural network model     existing knowledge    

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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 hydraulicfractures in the reservoir are simplified by using flow resistors and the typically complicated fracture networkof the heat reservoir is converted into a flow-resistor network with a reasonably simple pattern.

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

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Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Frontiers in Energy 2015, Volume 9, Issue 1,   Pages 75-90 doi: 10.1007/s11708-014-0337-3

Abstract: The weight parameters of the neural network were optimized by intelligent water drop (IWD) to improveThe proposed method utilizes and combines wavelet analysis and artificial neural network (ANN) to detectConnecting distributed generator to the distribution network has many benefits such as increasing theIn passive schemes with a large non-detection zone (NDZ), concern has been raised on active method dueThe simulation results from Matlab/Simulink shows that the proposed method has a small non-detection zone

Keywords： islanding detection     neuro-wavelet     intelligent water drop (IWD)     non-detection zone (NDZ)     distributed generation    

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Simple model of sludge thickening process in secondary settlers

Yuankai ZHANG,Hongchen WANG,Lu QI,Guohua LIU,Zhijiang HE,Songzhu JIANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 2,   Pages 319-326 doi: 10.1007/s11783-014-0758-6

Abstract: In this study, by detecting the hindered zone from the complete thickening process of activated sludge, a simple model for the sludge thickening velocity, , describing the potential and performance of activatedsludge thickening in the hindered zone was developed.zone showed limited thickening.This empirical model was developed using batch settling data obtained from four WWTPs and validated using

Keywords： wastewater treatment plants     secondary settler     sludge thickening     sludge settling     hindered zone    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regressionand M5 model tree

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 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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Title Author Date Type Operation

State of the Art of Compartment Fire Modeling

Zheng Xin,Yuan Hongyong

Journal Article

A modified zone model for estimating equivalent room thermal capacity

Hua CHEN, Xiaolin WANG

Journal Article

Applying the multi-zone model in predicting the operating range of HCCI engines

Ming JIA, Maozhao XIE, Zhijun PENG,

Journal Article

Isogeometric cohesive zone model for thin shell delamination analysis based on Kirchhoff-Love shell model

Tran Quoc THAI, Timon RABCZUK, Xiaoying ZHUANG

Journal Article

Cohesive zone model-based analyses of localized leakage of segmentally lined tunnels

Journal Article

The Zone and Numerical Simulation on the Tunnel Fire

Li Yuanzhou,Huo Ran,Yi Liang,Shi Congling,Zhou Yunji

Journal Article

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

Journal Article

Cell-Zone Method: An Engineering Approach to Predict Smoke Movement in Large Scale Building Fire

Hu Longhua,Huo Ran,Liy Uanzhou,Wang Haobo

Journal Article

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

Journal Article

A constrained neural network model for soil liquefaction assessment with global applicability

Yifan ZHANG, Rui WANG, Jian-Min ZHANG, Jianhong ZHANG

Journal Article

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

Jian GUO, Wenjiong CAO, Yiwei WANG, Fangming JIANG

Journal Article

Hybrid intelligent water drop bundled wavelet neural network to solve the islanding detection by inverter-based

Mehrdad TARAFDAR HAGH,Homayoun EBRAHIMIAN,Noradin GHADIMI

Journal Article

Simple model of sludge thickening process in secondary settlers

Yuankai ZHANG,Hongchen WANG,Lu QI,Guohua LIU,Zhijiang HE,Songzhu JIANG

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Modeling oblique load carrying capacity of batter pile groups using neural network, random forest regressionand M5 model tree

Tanvi SINGH, Mahesh PAL, V. K. ARORA

Journal Article