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Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysissoftware tools

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1,   Pages 109-124 doi: 10.1007/s11709-017-0389-7

Abstract: The many available software tools should therefore be evaluated and well understood, in order to be easilyto contribute to this need by providing further insight with respect to the use of commonly employed structuralanalysis software tools in nonlinear analysis of bridge structures.The adopted structural analysis program proved to be accurate, yielding reliable estimates, both in termsof local plastic hinge behavior and global structural behavior.

Keywords： nonlinear analysis     pushover     RC bridges     structural modelling software    

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PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1221-5

Abstract: In this contribution, we present a LUR modeling and pollution-mapping software named PyLUR.This self-developed software comprises four modules: a potential predictor variable generation moduleThe performance of the newly developed PyLUR is compared to an existing LUR modeling software calledfunctions implemented on R language platform) in terms of model accuracy, processing efficiency and software

Keywords： LUR     Air pollution modelling     GIS spatial analysis     GDAL/OGR Python     Pollutant concentration mapping    

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ArcObjects-based software design of Xihoumen Bridge structural health monitoring

Xie Hao,Li Na,Feng Liangping,Chen Weiguo,Zhang Xiaobin,Liu Zhiqiang

Strategic Study of CAE 2010, Volume 12, Issue 7,   Pages 107-109

Abstract: style="text-align: justify;">Basic functions and constitution of bridge structure health monitoring softwareThe application of ArcObjects was reviewed, and key technologies and characteristics of the software

Keywords： GIS     ArcObjects     SHM (structural health monitoring)    

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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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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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Applying a Combination of Mimic Defense and Software Diversity in the Software Security Industry

Pang Jianmin,Zhang Yujia and Zhang Zheng、Wu Jiangxing

Strategic Study of CAE 2016, Volume 18, Issue 6,   Pages 74-78 doi: 10.15302/J-SSCAE-2016.06.015

Abstract:

With the development of the Internet, the process of computer software globalization continues toFor widely used software, anidentical binary code is installed on millions of computers; sometimes evenTraditional software security methods can only counter the threat temporarily, and cannot eliminate essentialThis paper proposes a scheme of combining software diversity with mimic defense in the software security

Keywords： software diversity     mimic defense     software security product    

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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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Modeling of shear walls using finite shear connector elements based on continuum plasticity

Ulf Arne GIRHAMMAR, Per Johan GUSTAFSSON, Bo KÄLLSNER

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 143-157 doi: 10.1007/s11709-016-0377-3

Abstract: The mechanical behavior of the sheathing-to-framing joints has a significant impact on the structural

Keywords： shear walls     wall diaphragms     finite element modelling     plastic shear connector     analytical modelling     experimental    

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Approximation of structural damping and input excitation force

Mohammad SALAVATI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 2,   Pages 244-254 doi: 10.1007/s11709-016-0371-9

Abstract: Structural dynamic characteristics are the most significant parameters that play a decisive role in structuralThe complexity of structural damping mechanisms has made this parameter to be one of the ongoing researchand nonlinear models which are described as the energy dissipation throughout viscous, material or structuralresponses plays an important role in structural identification process.In this paper model-based damping approximation method and a model-less structural input estimation are

Keywords： structural modal parameters     damping identification method     input excitation force identification     Inverse    

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Enhancing the performance of futurewireless networks with software-defined networking Project Review

Mingjie FENG,Shiwen MAO,Tao JIANG

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 7,   Pages 606-619 doi: 10.1631/FITEE.1500336

Abstract: To this end, software-defined networking (SDN) has been proposed as a promising solution.To harvest the benefits of SDN in wireless networks, the software-defined wireless network (SDWN) architecture

Keywords： Software-defined networking (SDN)     Software-defined wireless networks (SDWN)     OpenFlow     Performance enhancement    

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Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Strategic Study of CAE 2022, Volume 24, Issue 1,   Pages 198-204 doi: 10.15302/J-SSCAE-2022.01.021

Abstract: Artificial intelligencebased software as a medical device (AI-Based SaMD) is an important product in

Keywords： software as a medical device (SaMD)，artificial intelligence (AI)，supervision science    

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Title Author Date Type Operation

Modeling considerations in seismic assessment of RC bridges using state-of-practice structural analysissoftware tools

Ricardo MONTEIRO, Miguel ARAÚJO, Raimundo DELGADO, Mário MARQUES

Journal Article

PyLUR: Efficient software for land use regression modeling the spatial distribution of air pollutants

Xuying Ma, Ian Longley, Jennifer Salmond, Jay Gao

Journal Article

ArcObjects-based software design of Xihoumen Bridge structural health monitoring

Xie Hao,Li Na,Feng Liangping,Chen Weiguo,Zhang Xiaobin,Liu Zhiqiang

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

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

Applying a Combination of Mimic Defense and Software Diversity in the Software Security Industry

Pang Jianmin,Zhang Yujia and Zhang Zheng、Wu Jiangxing

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

Modeling of shear walls using finite shear connector elements based on continuum plasticity

Ulf Arne GIRHAMMAR, Per Johan GUSTAFSSON, Bo KÄLLSNER

Journal Article

Approximation of structural damping and input excitation force

Mohammad SALAVATI

Journal Article

Enhancing the performance of futurewireless networks with software-defined networking Project

Mingjie FENG,Shiwen MAO,Tao JIANG

Journal Article

Supervision System of AI-based Software as a Medical Device

Zhang Jiannan,Li Yingying,Zhou Jiahui,Zhu Yelin,Li Lanjuan

Journal Article