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Computational model generation and RVE design of self-healing concrete

Md. Shahriar QUAYUM,Xiaoying ZHUANG,Timon RABCZUK

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 4,   Pages 383-396 doi: 10.1007/s11709-015-0320-z

Abstract: Computational homogenization is a versatile tool that can extract effective properties of heterogeneous or composite material through averaging technique. Self-healing concrete (SHC) is a heterogeneous material which has different constituents as cement matrix, sand and healing agent carrying capsules. Computational homogenization tool is applied in this paper to evaluate the effective properties of self-healing concrete. With this technique, macro and micro scales are bridged together which forms the basis for multi-scale modeling. Representative volume element (RVE) is a small (microscopic) cell which contains all the microphases of the microstructure. This paper presents a technique for RVE design of SHC and shows the influence of volume fractions of different constituents, RVE size and mesh uniformity on the homogenization results.

Keywords： homogenization     self-healing concrete (SHC)     representative volume element     multiscale modelling    

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Topology optimization based on reduction methods with applications to multiscale design and additive

Emmanuel TROMME, Atsushi KAWAMOTO, James K. GUEST

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 1,   Pages 151-165 doi: 10.1007/s11465-019-0564-8

Abstract: Topology optimization is an ideal tool for navigating this multiscale design problem and leveraging the

Keywords： multiscale topology optimization     micro-structure     additive manufacturing     reduction techniques     substructuring    

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Special Column on Multiscale Stochastic Finite Element Method

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 105-106 doi: 10.1007/s11709-015-0297-7

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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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A multiscale material model for heterogeneous liquid droplets in solid soft composites

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1292-1299 doi: 10.1007/s11709-021-0771-3

Abstract: research revisits the available models for liquid droplets in solid soft composites and presents a multiscale

Keywords： liquid in solid     soft composite     computational modeling     multiscale model     heterogeneity    

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A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 422-434 doi: 10.1631/FITEE.1500316

Abstract: ordinary hardware platform, we propose an efficient framework to reconstruct 3D dynamic objects using a multiscale-contour-based

Keywords： Multi-view video     Free-viewpoint video     Point-pair     Multiscale-contour-based interpolation     Spatio-temporal-contour    

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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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Connected morphable components-based multiscale topology optimization

Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 2,   Pages 129-140 doi: 10.1007/s11465-019-0532-3

Abstract: techniques, such as additive manufacturing, have provided unprecedented opportunities for producing multiscaleHowever, there are still difficulties for the state-of-the-art multiscale topology optimization (TO)methods to achieve manufacturable multiscale designs with cellular materials, partially due to the disconnectivitypaper attempts to address the disconnectivity issue by extending component-based TO methodology to multiscaleNumerical examples demonstrate that multiscale structures with well-connected material microstructures

Keywords： multiscale topology optimization     morphable component     material microstructure     homogenization    

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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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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: Among existing methods for homogenization, computational homogenization is widely used in multiscaleThe neural networks can be used to construct fully decoupled approaches in nonlinear multiscale methodsComputational homogenization methods for nonlinear material and implementation of offline multiscaleThis article intends to model the multiscale constitution using feedforward neural network (FNN) andApplications to two-dimensional multiscale analysis are tested and discussed in detail.

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent 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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Multiscale mechanical modeling of hydrated cement paste under tensile load using the combined DEM-MD

Yue HOU, Linbing WANG

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 3,   Pages 270-278 doi: 10.1007/s11709-017-0408-8

Abstract: A three-dimensional (3D) multiscale mechanical model is established using the combined Discrete Element

Keywords： hydrated cement paste     multiscale     MD simulation     DEM    

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A Multiscale Understanding of the Thermodynamic and Kinetic Mechanisms of Laser Additive Manufacturing

Dongdong Gu, Chenglong Ma, Mujian Xia, Donghua Dai, Qimin Shi

Engineering 2017, Volume 3, Issue 5,   Pages 675-684 doi: 10.1016/J.ENG.2017.05.011

Abstract: This paper provides multiscale modeling and coordinated control for the SLM of metallic materials includingMultiscale numerical simulation and experimental verification methods are beneficial in monitoring the

Keywords： Additive manufacturing     Selective laser melting     Multiscale modeling     Thermodynamics     Kinetics    

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Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 2,   Pages 107-113 doi: 10.1007/s11709-014-0268-4

Abstract: The Green-function-based multiscale stochastic finite element method (MSFEM) has been formulated based

Keywords： multiscale     finite element     settlement     perturbation     random field     geotechnical    

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Title Author Date Type Operation

Computational model generation and RVE design of self-healing concrete

Md. Shahriar QUAYUM,Xiaoying ZHUANG,Timon RABCZUK

Journal Article

Topology optimization based on reduction methods with applications to multiscale design and additive

Emmanuel TROMME, Atsushi KAWAMOTO, James K. GUEST

Journal Article

Special Column on Multiscale Stochastic Finite Element Method

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

A multiscale material model for heterogeneous liquid droplets in solid soft composites

Journal Article

A multiscale-contour-based interpolation framework for generating a time-varying quasi-dense point cloud

Chu-hua HUANG,Dong-ming LU,Chang-yu DIAO

Journal Article

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

Pengfei HE, Yang SHEN, Yun GU, Pangyong SHEN

Journal Article

Connected morphable components-based multiscale topology optimization

Jiadong DENG, Claus B. W. PEDERSEN, Wei CHEN

Journal Article

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

Abdussamad ISMAIL

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

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

Multiscale mechanical modeling of hydrated cement paste under tensile load using the combined DEM-MD

Yue HOU, Linbing WANG

Journal Article

A Multiscale Understanding of the Thermodynamic and Kinetic Mechanisms of Laser Additive Manufacturing

Dongdong Gu, Chenglong Ma, Mujian Xia, Donghua Dai, Qimin Shi

Journal Article

Multiscale stochastic finite element method on random field modeling of geotechnical problems – a fast

Xi F. XU

Journal Article