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Answers from computer modeling

Annemie Bogaerts, Maksudbek Yusupov, Jamoliddin Razzokov, Jonas Van der Paal

Frontiers of Chemical Science and Engineering 2019, Volume 13, Issue 2,   Pages 253-263 doi: 10.1007/s11705-018-1786-8

Abstract: Using computer simulations at the molecular level, we try to gain better insight in how plasma-generated

Keywords： plasma medicine     cancer treatment     computer modelling     cell membrane     reactive oxygen and nitrogen species    

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Understanding coupled factors that affect the modelling accuracy of typical planar compliant mechanisms

Guangbo HAO,Haiyang LI,Suzen KEMALCAN,Guimin CHEN,Jingjun YU

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 2,   Pages 129-134 doi: 10.1007/s11465-016-0392-z

Abstract: equivalent modulus using nonlinear finite element analysis (FEA) to reflect coupled factors in affecting the modelling

Keywords： coupling factors     modelling accuracy     compliant mechanisms     equivalent modulus    

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3D fracture modelling and limit state analysis of prestressed composite concrete pipes

Pengfei HE, Yang SHEN, Yun GU, Pangyong SHEN

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 165-175 doi: 10.1007/s11709-018-0484-4

Abstract: In this manuscript, we study fracture of prestressed cylindrical concrete pipes. Such concrete pipes play a major role in tunneling and underground engineering. The structure is modelled fully in 3D using three-dimensional continuum elements for the concrete structure which beam elements are employed to model the reinforcement. This allows the method to capture important phenomena compared to a pure shell model of concrete. A continuous approach to fracture is chosen when concrete is subjected to compressive loading while a combined continuous-discrete fracture method is employed in tension. The model is validated through comparisons with experimental data.

Keywords： cylindrical concrete structures     limit state analysis     3D fracture modelling     prestressed composite pipes    

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ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 594-608 doi: 10.1007/s11709-017-0446-2

Abstract: Artificial neural networks have been widely used over the past two decades to successfully develop empirical models for a variety of geotechnical problems. In this paper, an empirical model based on the product-unit neural network (PUNN) is developed to predict the load-deformation behaviour of piles based SPT values of the supporting soil. Other parameters used as inputs include particle grading, pile geometry, method of installation as well as the elastic modulus of the pile material. The model is trained using full-scale pile loading tests data retrieved from FHWA deep foundations database. From the results obtained, it is observed that the proposed model gives a better simulation of pile load-deformation curves compared to the Fleming’s hyperbolic model and t-z approach.

Keywords： piles in compression     load-deformation behaviour     product-unit neural network    

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Liquid metal cooling in thermal management of computer chips

MA Kunquan, LIU Jing

Frontiers in Energy 2007, Volume 1, Issue 4,   Pages 384-402 doi: 10.1007/s11708-007-0057-3

Abstract: With the rapid improvement of computer performance, tremendous heat generation in the chip becomes a

Keywords： tremendous     computer performance     generation     management     improvement    

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Kinetic-compartmental modelling of potassium-containing cellulose feedstock gasification

Attila Egedy, Lívia Gyurik, Tamás Varga, Jun Zou, Norbert Miskolczi, Haiping Yang

Frontiers of Chemical Science and Engineering 2018, Volume 12, Issue 4,   Pages 708-717 doi: 10.1007/s11705-018-1767-y

Abstract:

Biomass is of growing interest as a secondary energy source and can be converted to fuels with higher energy density especially by pyrolysis or gasification. Understanding the mechanism and the kinetics of biomass pyrolysis (thermal decomposition) and gasification (conversion of organic material to gases) could be the key to the design of industrial devices capable of processing vast amounts of biomass feedstock. In our work real product components obtained in pyrolysis were took into consideration as well as char and oil as lumped components, and the kinetic constants for a biomass model compound (cellulose) pyrolysis and gasification were identified based on a proposed simplified reaction mechanism within a compartment model structure. A laboratory scale reactor was used for the physical experiments containing consecutive fast pyrolysis and gasification stages using alkali metal (K) containing feedstock, which has a significant effect on the cellulose pyrolysis and gasification. The detailed model was implemented in MATLAB/Simulink environment, and the unknown kinetic parameters were identified based on experimental data. The model was validated based on measurement data, and a good agreement was found. Based on the validated first principle model the optimal parameters were determined as 0.15 mL/min steam flow rate, and 4% K content.

Keywords： biomass pyrolysis     kinetic parameter identification     compartment modelling     optimisation    

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Joint slip investigation based on finite element modelling verified by experimental results on wind turbine

Saleh YAGHOOBI, Ahmad SHOOSHTARI

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 3,   Pages 341-351 doi: 10.1007/s11709-017-0393-y

Abstract:

Slippage corresponds to the relative displacement of a bolted joint subjected to shear loads since the construction clearance between the bolt shank and the bolthole at assembly can cause joint slip. Deflections of towers with joint slippage effects is up to 1.9 times greater than the displacements obtained by linear analytical methods. In this study, 8 different types of joints are modelled and studied in the finite element program, and the results are verified by the experimental results which have been done in the laboratory. Moreover, several types of joints have been modelled and studied and load-deformation curves have also been presented. Finally, joint slip data for different types of angles, bolt diameter and bolt arrangements are generated. Thereupon, damping ratios (z) for different types of connections are reported. The study can be useful to help in designing of wind turbine towers with a higher level of accuracy and safety.

Keywords： Joint slip     cyclic loading     Finite element modelling     Experimental joint behavior     damping ratios (   

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Man-Computer Cooperative Intelligent Science and Intelligent Technology

Dai Ruwei

Strategic Study of CAE 2004, Volume 6, Issue 5,   Pages 24-28

Abstract: project of Japan, and another one wasintelligent computer project (863 — 306) of China.The academician Qian Xuesen has made a speech to summarize the importance of man - computer cooperativeinformation processing, and the aim was not intelligent computer.We should study and develop the man-computer cooperative intelligent systems.In addition the citation for development of man-computer cooperative intelligent systems in recent years

Keywords： intelligent computer     man-computer cooperation     metasynthesis     hall for workshop of hetasynthetic engineering    

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Numerical modelling of reinforced concrete flexural members strengthened using textile reinforced mortars

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 4,   Pages 649-668 doi: 10.1007/s11709-023-0919-4

Abstract: Externally bonded (EB) and near-surface mounted (NSM) bonding are two widely adopted and researched strengthening methods for reinforced-concrete structures. EB composite substrates are easy to reach and repair using appropriate surface treatments, whereas NSM techniques can be easily applied to the soffit and concrete member sides. The EB bonded fiber-reinforced polymer (FRP) technique has a significant drawback: combustibility, which calls for external protective agents, and textile reinforced mortar (TRM), a class of EB composites that is non-combustible and provides a similar functionality to any EB FRP-strengthened substrate. This study employs a finite element analysis technique to investigate the failing failure of carbon textile reinforced mortar (CTRM)-strengthened reinforced concrete beams. The principal objective of this numerical study was to develop a finite element model and validate a set of experimental data in existing literature. A set of seven beams was modelled and calibrated to obtain concrete damage plasticity (CDP) parameters. The predicted results, which were in the form of load versus deflection, load versus rebar strain, tensile damage, and compressive damage patterns, were in good agreement with the experimental data. Moreover, a parametric study was conducted to verify the applicability of the numerical model and study various influencing factors such as the concrete strength, internal reinforcement, textile roving spacing, and externally-applied load span. The ultimate load and deflection of the predicted finite element results had a coefficient of variation (COV) of 6.02% and 5.7%, respectively. A strain-based numerical comparison with known methods was then conducted to investigate the debonding mechanism. The developed finite element model can be applied and tailored further to explore similar TRM-strengthened beams undergoing debonding, and the preventive measures can be sought to avoid premature debonding.

Keywords： fiber reinforced polymer     textile reinforced mortar     finite element analysis     concrete damage plasticity     calibration and validation     parametric study    

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Dynamic modelling and simulation of a post-combustion CO capture process for coal-fired power plants

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 198-209 doi: 10.1007/s11705-021-2057-7

Abstract: Modelling and simulation provide a low-cost opportunity to evaluate performances and guide flexible operation

Keywords： CO2 capture     post-combustion capture     simulation     dominant factor    

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Review of research and development of computer-aided Kansei Engineering

Li LIN, Chengqi XUE

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 125-128 doi: 10.1007/s11465-009-0023-z

Abstract: The working process and the key technology of computer-aided Kansei Engineering systems are discussedFinally, the development trend of Kansei Engineering is outlined according to the development of computer

Keywords： Kansei words     design elements     system     database    

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Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 227-239 doi: 10.15302/J-FEM-2018071

Abstract: Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques,

Keywords： construction     safety     personal protective equipment     hardhat     computer vision    

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Computer modeling of crystal growth of silicon for solar cells

Lijun LIU, Xin LIU, Zaoyang LI, Koichi KAKIMOTO

Frontiers in Energy 2011, Volume 5, Issue 3,   Pages 305-312 doi: 10.1007/s11708-011-0155-9

Abstract: A computer simulator with a global model of heat transfer during crystal growth of Si for solar cellsmodel with 3D features is especially made suitable for any crystal growth, while the requirement for computerApplications of the computer simulator to Czochralski (CZ) growth processes and directional solidificationThe findings show the importance of computer modeling as an effective tool in the analysis and improvement

Keywords： computer modeling     silicon     crystal growth     solar cells    

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Computer Simulation of High Speed Rail Traffic System

Ma Dawei

Strategic Study of CAE 2001, Volume 3, Issue 5,   Pages 72-78

Abstract: analyzed the tractive, braking and running resistant characteristics of high speed train by way of computer

Keywords： computer simulation     development     high speed train     energy    

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Design of bio-oil additives via molecular signature descriptors using a multi-stage computer-aided molecular

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2,   Pages 168-182 doi: 10.1007/s11705-021-2056-8

Abstract: In this work, computer-aided molecular design tools were developed to design optimal solvents to upgradeDue to the combinatorial nature of higher-order signatures, the complexity of a computer-aided molecular

Keywords： computer-aided molecular design     bio-oil additives     molecular signature descriptor    

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Title Author Date Type Operation

Answers from computer modeling

Annemie Bogaerts, Maksudbek Yusupov, Jamoliddin Razzokov, Jonas Van der Paal

Journal Article

Understanding coupled factors that affect the modelling accuracy of typical planar compliant mechanisms

Guangbo HAO,Haiyang LI,Suzen KEMALCAN,Guimin CHEN,Jingjun YU

Journal Article

3D fracture modelling and limit state analysis of prestressed composite concrete pipes

Pengfei HE, Yang SHEN, Yun GU, Pangyong SHEN

Journal Article

ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Journal Article

Liquid metal cooling in thermal management of computer chips

MA Kunquan, LIU Jing

Journal Article

Kinetic-compartmental modelling of potassium-containing cellulose feedstock gasification

Attila Egedy, Lívia Gyurik, Tamás Varga, Jun Zou, Norbert Miskolczi, Haiping Yang

Journal Article

Joint slip investigation based on finite element modelling verified by experimental results on wind turbine

Saleh YAGHOOBI, Ahmad SHOOSHTARI

Journal Article

Man-Computer Cooperative Intelligent Science and Intelligent Technology

Dai Ruwei

Journal Article

Numerical modelling of reinforced concrete flexural members strengthened using textile reinforced mortars

Journal Article

Dynamic modelling and simulation of a post-combustion CO capture process for coal-fired power plants

Journal Article

Review of research and development of computer-aided Kansei Engineering

Li LIN, Chengqi XUE

Journal Article

Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

Computer modeling of crystal growth of silicon for solar cells

Lijun LIU, Xin LIU, Zaoyang LI, Koichi KAKIMOTO

Journal Article

Computer Simulation of High Speed Rail Traffic System

Ma Dawei

Journal Article

Design of bio-oil additives via molecular signature descriptors using a multi-stage computer-aided molecular

Journal Article