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Modifying effects and mechanisms of superfine stainless wires on microstructures and mechanical properties of ultra-high performance seawater sea-sand concrete

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Science China(Technological Sciences) 2024年第10期67卷 3205-3220页

作者： YU Feng DONG SuFen ASHOUR Ashraf DING SiQi HAN BaoGuo School of Infrastructure Engineering Dalian University of TechnologyDalian 116024China Faculty of Engineering&Informatics University of BradfordBradford BD71DPUK Department of Civil and Environmental Engineering The Hong Kong Polytechnic UniversityHong Kong 999077China

Ultra-high-performance seawater sea-sand concrete(UHPSSC)presents a prospective solution to address the natural resource shortage in marine infrastructure *** eliminate the corrosion risk of steel fibers and broaden the applicability of UHPSSC,this study investigates the mechanical properties and free chloride ion content as well as microstructures of UHPSSC reinforced with superfine stainless wires(SSWs)under natural *** results indicate that 1.5%SSWs can remarkably improve the flexural strength and toughness of UHPSSC by 127%and 1724%,respectively,and mitigate the long-term strength degradation of *** strong interfacial bond between SSW and UHPSSC improves the compactness of UHPSSC,thus reducing the growth space for Ca(OH)_(2) crystals and swelling hydration products generated by sulfate and magnesium *** can be supported by the observed reduction in the Ca/Si ratio of C–S–H gels,CH crystal orientation index,and ***,through mechanisms such as pull-out,rupture,overlapping network,and internal anchor interface,SSWs effectively prevent microcrack growth and propagation,transforming single long-connected microcracks into multiple-emission microcracks centered on ***,the free chloride ion content of the composites at 28 and 180 d meets the ACI 318-19 standard requirements for concrete exposed to *** compliance is attributed to the chloride immobilization facilitated by Friedel’s salt and C–S–H gels within the interfaces around SSWs and ***,SSWs-reinforced UHPSSC exhibits considerable potential for applications in sustainable marine infrastructures,demanding long-term mechanical properties and high durability.

关键词： ultra-high performance seawater sea-sand concrete superfine stainless wire mechanical properties chloride ion content,microstructure

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Multi-Modal Data Analysis Based Game Player Experience Modeling Using LSTM-DNN

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Computers, Materials & Continua 2021年第9期68卷 4087-4108页

作者： Sehar Shahzad Farooq Mustansar Fiaz Irfan Mehmood Ali Kashif Bashir Raheel Nawaz KyungJoong Kim Soon Ki Jung School of Computer Science and Engineering Kyungpook National UniversityDaeguKorea Faculty of Engineering&Informatics School of MediaDesign and TechnologyUniversity of BradfordBradfordBD71DPUK Department of Computing and Mathematics Manchester Metropolitan UniversityManchesterUK Department of Operations TechnologyEvents and Hospitality ManagementManchester Metropolitan UniversityUK Institute of Integrated technology Gwangju Institute of Science and TechnologyKorea

Game player modeling is a paradigm of computational models to exploit players’behavior and experience using game and player *** modeling refers to descriptions of players based on frameworks of data derived from the interaction of a player’s behavior within the game as well as the player’s experience with the *** behavior focuses on dynamic and static information gathered at the time of *** experience concerns the association of the human player during gameplay,which is based on cognitive and affective physiological measurements collected from sensors mounted on the player’s body or in the player’s *** this paper,player experience modeling is studied based on the board puzzle game“Candy Crush Saga”using cognitive data of players accessed by physiological and peripheral *** Short-Term Memory-based Deep Neural Network(LSTM-DNN)is used to predict players’effective states in terms of valence,arousal,dominance,and liking by employing the concept of transfer *** learning focuses on gaining knowledge while solving one problem and using the same knowledge to solve different but related *** homogeneous transfer learning approach has not been implemented in the game domain before,and this novel study opens a new research area for the game industry where the main challenge is predicting the significance of innovative games for entertainment and players’*** not only from a player’s point of view,it is also a benchmark study for game developers who have been facing problems of“cold start”for innovative games that strengthen the game industrial economy.

关键词： Game player modeling experience modeling player analytics deep learning LSTM game play data Candy Crush Saga

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Process,Material,and Regulatory Considerations for 3D Printed Medical Devices and Tissue Constructs

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Engineering 2024年第5期36卷 146-166页

作者： Wei Long Ng Jia An Chee Kai Chua Singapore Centre for 3D Printing(SC3dp) School of Mechanical and Aerospace EngineeringNanyang Technological UniversitySingapore 639798Singapore Centre for Healthcare Education Entrepreneurship and Research@SUTD(CHEERS)Singapore University of Technology and DesignSingapore 487372Singapore

Three-dimensional(3D)printing is a highly automated platform that facilitates material deposition in a layer-by-layer approach to fabricate pre-defined 3D complex structures on *** is a highly promising technique for the fabrication of personalized medical devices or even patient-specific tissue *** type of 3D printing technique has its unique advantages and limitations,and the selection of a suitable 3D printing technique is highly dependent on its intended *** this review paper,we present and highlight some of the critical processes(printing parameters,build orientation,build location,and support structures),material(batch-to-batch consistency,recycling,protein adsorption,biocompatibility,and degradation properties),and regulatory considerations(sterility and mechanical properties)for 3D printing of personalized medical *** goal of this review paper is to provide the readers with a good understanding of the various key considerations(process,material,and regulatory)in 3D printing,which are critical for the fabrication of improved patient-specific 3D printed medical devices and tissue constructs.

关键词： 3D printing Bioprinting Biofabrication Medical devices Tissue constructs

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Atomic-scale simulations in multi-component alloys and compounds:A review on advances in interatomic potential

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Journal of Materials Science & technology 2023年第34期165卷 49-65页

作者： Feiyang Wang Hong-Hui Wu Linshuo Dong Guangfei Pan Xiaoye Zhou Shuize Wang Ruiqiang Guo Guilin Wu Junheng Gao Fu-Zhi Dai Xinping Mao Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Carbon NeutralityUniversity of Science and Technology BeijingBeijing 100083China Department of Materials Science and Engineering Shenzhen MSU-BIT UniversityShenzhen 518172China Institute of Steel Sustainable technology Liaoning Academy of MaterialsShenyang 110004China Institute of Materials Intelligent technology Liaoning Academy of MaterialsShenyang 110004China Thermal Science Research Center Shandong Institute of Advanced TechnologyJinan 250103China AI for Science Institute Beijing 100084China dp technology Beijing 100080China

Multi-component alloys have demonstrated excellent performance in various applications,but the vast range of possible compositions and microstructures makes it challenging to identify optimized alloys for specific *** overcome this challenge,large-scale atomic simulation techniques have been widely used for the design and optimization of multi-component *** capability and reliability of large-scale atomic simulations essentially rely on the quality of interatomic potentials that describe the interactions between *** work provides a comprehensive summary of the latest advances in atomic simulation techniques for multi-component *** focus is on interatomic potentials,including both conventional empirical potentials and newly developed machine learning potentials(MLPs).The fitting processes for different types of interatomic potentials applied to multi-component alloys are also ***,the challenges and future perspectives in developing MLPs are thoroughly ***,this review provides a valuable resource for researchers interested in developing optimized multicomponent alloys using atomic simulation techniques.

关键词： Multi-component alloys Atomic simulation Empirical potentials Machine learning potentials

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Automated measurement of moving grains on bed deposits

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International Journal of Sediment Research 2011年第3期26卷 304-317页

作者： Amir H.N.CHEGINI Simon TAIT Lecturer of Civil Engineering Department Faculty of EngineeringUniversity of GuilanMain CampusI.R.of Iran School of Engineering Design and TechnologyUniversity of BradfordBradfordBD7 1DPUK.

The performance of gravel bedload predictor equations is particularly poor.A key reason for this situation is the current poor understanding of the physical mechanisms that are involved in the entrainment of grains from water-worked sediment *** has been caused,in part,by a lack of detailed data on the behaviour of moving sediment *** this study,observations of the entrainment, transport and deposition of many particles from a gravel bed has been collected and studied using an image-based *** system was used to measure the motion of hundreds of gravel particles moving as *** paper describes the development of the image-based system and the data processing methods used to provide the automated measurement of particle *** system was adapted from commercially available PIV equipment and was configured to obtain simultaneously data for the analysis of the moving grains and the near-bed flow *** techniques developed are relatively sensitive to sediment colour and shape by using related image processing algorithms and so could be applied to natural gravel *** results(image data)obtained from the techniques developed are amended in a program by using two functions(commands)of image processing called "Label2RGB",and "RegionProps" which distinguish the colour and shape of moving sediment grains *** data processing provided information that identified individual grain entrainments,*** accurately traced the motion of some,but not all,*** show that the system was able to estimate grain entrainment rates and indicate locations of preferential entrainment and deposition from data on hundreds of individual moving grains.

关键词： Uniform flow Bed load Sediment transport Measurement Image processing

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Modeling discrete-time analytical models based on random early detection: Exponential and linear

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International Journal of Modeling, Simulation, and Scientific Computing 2015年第3期6卷 85-106页

作者： Hussein Abdel-Jaber Fadi Thabtah Mike Woodward Department of Information technology and Computing Faculty of Computer Studies Arab Open University Kingdom of Saudi Arabia Ebusiness Department Canadian University of DubaiUAE Department of Computing University of Bradford Bradford BD71DPUK

Congestion control is among primary topics in computer network in which random early detection(RED)method is one of its common ***,RED suffers from drawbacks in particular when its“average queue length”is set below the buffer’s“minimum threshold”position which makes the router buffer quickly *** deal with this issue,this paper proposes two discrete-time queue analytical models that aim to utilize an instant queue length parameter as a congestion *** assigns mean queue length(mql)and average queueing delay smaller values than those for RED and eventually reduces buffers overflow.A comparison between RED and the proposed analytical models was conducted to identify the model that offers better *** proposed models outperform the classic RED in regards to mql and average queueing delay measures when congestion *** work also compares one of the proposed models(RED-Linear)with another analytical model named threshold-based linear reduction of arrival rate(TLRAR).The results of the mql,average queueing delay and the probability of packet loss for TLRAR are deteriorated when heavy congestion occurs,whereas,the results of our RED-Linear were not impacted and this shows superiority of our model.

关键词： Analytical modeling congestion control discrete-time queues performance measures simulation

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Pressure characteristics of a hydrocyclone for fine particle separation

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Journal of Harbin Institute of technology(New Series) 2006年第3期13卷 294-298页

作者：赵立新蒋明虎孙德智 BELAIDI A THEW M Mechanical Science and Engineering College Daqing Petroleum Institute Daqing 163318 China Dept. of Environmental Engineering Harbin Institute of Technology Harbin 150090 China School of Engineering Design and Technology University of Bradford Bradford West Yorkshire BD7 1DP UK

Solid-liquid hydrocyclones are mainly used to separate large particles, such as the particles of drilling fluid in petroleum industry, and large mineral particles. Till now the hydrocyclonic separation for fine particles is still a big problem. Basic separation principle of hydrocyclones and experimental research facility are simply introduced. The difficulty of separating fine particle is analyzed. Based on a solid-liquid hydrocyclone used for separating fine particles, relationships of dimensionless pressure characteristic parameters, i.e. Euler number and pressure drop ratio, with several main dimensionless parameters, such as split ratio, swirl number and gas-liquid ratio, were experimentally studied in detail. The research was carried out by using the hydrocyclonic separation experimental rig at the University of Bradford. It is shown that the less the size of particle, the less the value of radius of the balance orbit occupied by the particle, and then the more difficult for the particle to be separated. Experiments indicate that Euler number of the tested hydrocyclone increases with the rise of Reynolds number, split ratio, swirl number and gas-liquid ratio respectively, and the pressure drop ratio falls with the increase of Reynolds number, split ratio and swirl number respectively. It is concluded that the most effective way to decrease the unit energy dissipation of hydrocyclone is to reduce swirl number or gas-liquid ratio of the mixed media.

关键词： water treatment separation technology hydrocyclone pressure

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The chemical origin of temperature-dependent lithium-ion concerted diffusion in sulfide solid electrolyte Li_(10)GeP_(2)S_(12)

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Journal of Energy Chemistry 2022年第7期31卷 59-66,I0003页

作者： Zhong-Heng Fu Xiang Chen Nan Yao Xin Shen Xia-Xia Ma Shuai Feng Shuhao Wang Rui Zhang Linfeng Zhang Qiang Zhang Beijing Key Laboratory of Green Chemical Reaction Engineering and technology Department of Chemical EngineeringTsinghua UniversityBeijing 100084China College of Chemistry and Chemical Engineering Taishan UniversityTaian 271021ShandongChina School of Chemistry The University of New South WalesSydneyNSW 2052Australia School of Materials Science and Engineering&Advanced Research Institute of Multidisciplinary Science Beijing Institute of TechnologyBeijing Institute of TechnologyBeijing 100081China dp technology Beijing 100080China AI for Science Institute Beijing 100080Chin

Solid-state batteries have received increasing attention in scientific and industrial communities,which benefits from the intrinsically safe solid electrolytes(SEs).Although much effort has been devoted to designing SEs with high ionic conductivities,it is extremely difficult to fully understand the ionic diffusion mechanisms in SEs through conventional experimental and theoretical ***,the temperature-dependent concerted diffusion mechanism of ions in SEs is explored through machinelearning molecular dynamics,taking Li_(10)GeP_(2)S_(12) as a *** diffusion anisotropy,more disordered Li distributions,and shorter residence time are observed at a higher ***-type temperature dependence is maintained within a wide temperature range,which is attributed to the linear temperature dependence of jump frequencies of various concerted diffusion *** results provide a theoretical framework to understand the ionic diffusion mechanisms in SEs and deepen the understanding of the chemical origin of temperature-dependent concerted diffusions in SEs.

关键词： Solid-state batteries Solid electrolytes Concerted diffusion Machine-learning molecular dynamics

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Viscosity in water from first-principles and deep-neural-network simulations

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npj Computational Materials 2022年第1期8卷 1318-1327页

作者： Cesare Malosso Linfeng Zhang Roberto Car Stefano Baroni Davide Tisi SISSA—Scuola Internazionale Superiore di Studi Avanzati 34136TriesteItaly Program in Applied and Computational Mathematics Princeton UniversityPrincetonNJ08544USA dp technology Beijing100080PR China Department of Chemistry Department of Physicsand Princeton Institute for the Science and Technology of MaterialsPrinceton UniversityPrincetonNJUSA CNR Istituto Officina dei Materiali SISSA Unit34136TriesteItaly

We report on an extensive study of the viscosity of liquid water at near-ambient conditions,performed within the Green-Kubo theory of linear response and equilibrium ab initio molecular dynamics(AIMD),based on density-functional theory(DFT).In order to cope with the long simulation times necessary to achieve an acceptable statistical accuracy,our ab initio approach is enhanced with deep-neural-network potentials(NNP).This approach is first validated against AIMD results,obtained by using the Perdew–Burke–Ernzerhof(PBE)exchange-correlation functional and paying careful attention to crucial,yet often overlooked,aspects of the statistical data ***,we train a second NNP to a dataset generated from the Strongly Constrained and Appropriately Normed(SCAN)*** the error resulting from the imperfect prediction of the melting line is offset by referring the simulated temperature to the theoretical melting one,our SCAN predictions of the shear viscosity of water are in very good agreement with experiments.

关键词： viscosity Strongly ambient

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Modelling priority queuing systems with varying service capacity

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Frontiers of Computer Science 2013年第4期7卷 571-582页

作者： Mei CHEN Xiaolong JIN Yuanzhuo WANG Xueqi CHENG Geyong MIN School of Electronic and Information Engineering Lanzhou Jiaotong University Lanzhou 730070 China School of Information Science and Engineering Lanzhou University Lanzhou 730000 China Institute of Computing technology Chinese Academy of Sciences Beijing 100190 China Department of Computing School of Informatics University of Bradford Bradford BD71DP UK

Many studies have been conducted to investigate the performance of priority queuing （PQ） systems with constant service capacity. However, due to the time-varying nature of wireless channels in wireless communication networks, the service capacity of queuing systems may vary over time. Therefore, it is necessary to investigate the performance of PQ systems in the presence of varying service capacity. In addition, self-similar traffic has been discovered to be a ubiquitous phenomenon in various communication networks, which poses great challenges to performance modelling of scheduling systems due to its fractal-like nature. Therefore, this paper develops a flow-decomposition based approach to performance modelling of PQ systems subject to self-similar traffic and varying service capacity. It specifically proposes an analytical model to investigate queue length distributions of individual traffic flows. The validity and accuracy of the model is demonstrated via extensive simulation experiments.

关键词： priority queuing analytical modelling variableservice capacity self-similar traffic

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