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Endochronic damage constitutive model for fully-graded aggregate mass concrete

SONG Yupu, WANG Huailiang

Frontiers of Structural and Civil Engineering 2007, Volume 1, Issue 3,   Pages 274-280 doi: 10.1007/s11709-007-0035-x

Abstract: The behavior of deformation and strength of a fully-graded aggregate concrete under complex stress stateThe proposed model is used to analyze the deformation and strength of fully-graded aggregate mass concrete

Keywords： concept     surface     design     concern     strength    

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A fully solid-state cold thermal energy storage device for car seats using shape-memory alloys

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 504-515 doi: 10.1007/s11708-022-0855-3

Abstract: Thermal energy storage has been a pivotal technology to fill the gap between energy demands and energy supplies. As a solid-solid phase change material, shape-memory alloys (SMAs) have the inherent advantages of leakage free, no encapsulation, negligible volume variation, as well as superior energy storage properties such as high thermal conductivity (compared with ice and paraffin) and volumetric energy density, making them excellent thermal energy storage materials. Considering these characteristics, the design of the shape-memory alloy based the cold thermal energy storage system for precooling car seat application is introduced in this paper based on the proposed shape-memory alloy-based cold thermal energy storage cycle. The simulation results show that the minimum temperature of the metal boss under the seat reaches 26.2 °C at 9.85 s, which is reduced by 9.8 °C, and the energy storage efficiency of the device is 66%. The influence of initial temperature, elastocaloric materials, and the shape-memory alloy geometry scheme on the performance of car seat cold thermal energy storage devices is also discussed. Since SMAs are both solid-state refrigerants and thermal energy storage materials, hopefully the proposed concept can promote the development of more promising shape-memory alloy-based cold and hot thermal energy storage devices.

Keywords： shape-memory alloy (SMA)     elastocaloric effect (eCE)     cooled seat     cold thermal energy storage    

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Multi-focus image fusion based on fully convolutional networks Research Articles

Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900336

Abstract: We propose a method, in which a fully convolutional network for focus detection (FD-FCN) is constructed

Keywords： 多焦距图像融合；全卷积网络；跳层；性能评估    

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Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 313-316 doi: 10.1007/s11465-006-0026-y

Abstract: is a very important task to automatically fix the number of die in the image recognition system of a fully

Keywords： clustering     different     recognition algorithm     Algorithm     multiobjective    

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Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting Article

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Engineering 2019, Volume 5, Issue 3,   Pages 586-593 doi: 10.1016/j.eng.2018.12.009

Abstract: this paper, a multi-objective optimization (MOO) design method for DOD printing parameters through fullyconnected neural networks (FCNNs) is proposed in order to solve these challenges.

Keywords： Drop-on-demand printing     Inkjet printing     Gradient descent multi-objective optimization     Fully connectedneural networks    

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Fully Self-driving Future Hits the Brakes

Chris Palmer

Engineering 2023, Volume 26, Issue 7,   Pages 6-8 doi: 10.1016/j.eng.2023.05.002

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An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2,   Pages 279-293 doi: 10.1007/s11465-019-0575-5

Abstract: oscillation condition is much less critical than the Crank–Nicolson scheme, and the accuracy is higher than a fully

Keywords： isogeometric shape optimization     design-dependent boundary condition     transient heat conduction     implicit time integration     adjoint method    

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Classification Model and Its Application of Stability of Roadway Driving Along Next Goaf for Fully-mechanized

Zhu Chuanqu,Wang Weijun,Shi Shiliang

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 35-38

Abstract:

The stability of roadway driving along next goaf for fully-mechanized caving face is syntheticallysubordination functions of the factors influencing the stability of roadway driving along next goaf for fully-mechanizedimportant part in the support design, construction and management of roadway driving along next goaf for fully-mechanized

Keywords： roadway driving along next goaf for fully-mechanized caving face     stability of surrounding rock     classification    

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Fully automatic container terminals of Shanghai Yangshan Port phase IV

Jack Xunjie LUO

Frontiers of Engineering Management 2019, Volume 6, Issue 3,   Pages 457-462 doi: 10.1007/s42524-019-0053-0

Abstract:

Engineering Owner: Construction Headquarters of Yangshan Deep-water Port Phase IV Project of Shanghai International Shipping Center

Keywords： Yangshan Port     automated equipment     intelligent system     container terminals     port engineering    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: Our simulation and theoretical results fully demonstrate this interesting phenomenon.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 1,   Pages 1-11 doi: 10.1631/FITEE.1400129

Abstract: to irregular deployment of small base stations (SBSs), the interference in cognitive heterogeneous networks

Keywords： Cognitive heterogeneous networks     Markov chain     Stochastic geometry     Homogeneous Poisson point process (    

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Study and Application of Steady Flow and Unsteady Flow Mathematical Model for Canal Networks

Zhang Mingliang,Shen Yongming

Strategic Study of CAE 2007, Volume 9, Issue 8,   Pages 92-96

Abstract: and canal networks is developed and the key issues on the model are expatiated particularly in this This model is applied to simulating the tree-type irrigation canal networks and complex loopedcanal networks.and river networks.and canal networks.

Keywords： Preissmann implicit scheme     canal networks and river networks     discharge distribution     water quality    

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Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Frontiers in Energy 2021, Volume 15, Issue 1,   Pages 143-158 doi: 10.1007/s11708-020-0703-2

Abstract: As a key application of smart grid technologies, the smart distribution network (SDN) is expected to have a high diversity of equipment and complexity of operation patterns. Situational awareness (SA), which aims to provide a critical visibility of the SDN, will enable a significant assurance for stable SDN operations. However, the lack of systematic evaluation through the three stages of perception, comprehensive, and prediction may prevent the SA technique from effectively achieving the performance necessary to monitor and respond to events in SDN. To analyze the feasibility and effectiveness of the SA technique for the SDN, a comprehensive evaluation framework with specific performance indicators and systematic weighting methods is proposed in this paper. Besides, to implement the indicator framework while addressing the key issues of human expert scoring ambiguity and the lack of data in specific SDN areas, an improved interval-based analytic hierarchy process-based subjective weighting and a multi-objective programming method-based objective weighting are developed to evaluate the SDN SA performance. In addition, a case study in a real distribution network of Tianjin China is conducted whose outcomes verify the practicality and effectiveness of the proposed SA technique for SDN operating security.

Keywords： distribution networks     operation and maintenance     expert systems    

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Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: The performance of these networks was evaluated using the coefficient of determination ( ) and the mean

Keywords： oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

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The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 3,   Pages 609-622 doi: 10.1007/s11709-020-0623-6

Abstract: obtained resorting to a classic damage formulation and an innovative approach based on Artificial Neural Networks

Keywords： Artificial Neural Networks     seismic vulnerability     masonry buildings     damage estimation     vulnerability curves    

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Title Author Date Type Operation

Endochronic damage constitutive model for fully-graded aggregate mass concrete

SONG Yupu, WANG Huailiang

Journal Article

A fully solid-state cold thermal energy storage device for car seats using shape-memory alloys

Journal Article

Multi-focus image fusion based on fully convolutional networks

Rui Guo, Xuan-jing Shen, Xiao-yu Dong, Xiao-li Zhang,zhangxiaoli@jlu.edu.cn

Journal Article

Multiobjective image recognition algorithm in the fully automatic die bonder

JIANG Kai, CHEN Hai-xia, YUAN Sen-miao

Journal Article

Multi-Objective Optimization Design through Machine Learning for Drop-on-Demand Bioprinting

Jia Shi, Jinchun Song, Bin Song, Wen F. Lu

Journal Article

Fully Self-driving Future Hits the Brakes

Chris Palmer

Journal Article

An isogeometric numerical study of partially and fully implicit schemes for transient adjoint shape sensitivity

Zhen-Pei WANG, Zhifeng XIE, Leong Hien POH

Journal Article

Classification Model and Its Application of Stability of Roadway Driving Along Next Goaf for Fully-mechanized

Zhu Chuanqu,Wang Weijun,Shi Shiliang

Journal Article

Fully automatic container terminals of Shanghai Yangshan Port phase IV

Jack Xunjie LUO

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

Capacity analysis for cognitive heterogeneous networks with ideal/non-ideal sensing

Tao HUANG, Ying-lei TENG, Meng-ting LIU, Jiang LIU

Journal Article

Study and Application of Steady Flow and Unsteady Flow Mathematical Model for Canal Networks

Zhang Mingliang,Shen Yongming

Journal Article

Evaluation of the situational awareness effects for smart distribution networks under the novel

Leijiao GE, Yuanliang LI, Suxuan LI, Jiebei ZHU, Jun YAN

Journal Article

Predicting the yield of pomegranate oil from supercritical extraction using artificial neural networks

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

The use of Artificial Neural Networks to estimate seismic damage and derive vulnerability functions for

Tiago Miguel FERREIRA, João ESTÊVÃO, Rui MAIO, Romeu VICENTE

Journal Article