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microstructure modeling and virtual test of asphalt mixture based on three-dimensional discrete element method

Journal of Central South University 2016年第6期23卷 1525-1534页

作者：马涛张德育张垚赵永利黄晓明 School of Transportation Southeast University Nanjing 210096 China Department of Civil and Environmental Engineering Rutgers the State University of New Jersey N J 08854 USA School of Civil Enginerring and Architecture Nanjing Institute of Technology Nanjing 211167 China

The objective of this work is to model the microstructure of asphalt mixture and build virtual test for asphalt mixture by using Particle Flow Code in three dimensions(PFC^(3D))based on three-dimensional discrete element method.A randomly generating algorithm was proposed to capture the three-dimensional irregular shape of coarse *** then,modeling algorithm and method for graded aggregates were *** on the combination of modeling of coarse aggregates,asphalt mastic and air voids,three-dimensional virtual sample of asphalt mixture was modeled by using PFC^(3D).Virtual tests for penetration test of aggregate and uniaxial creep test of asphalt mixture were built and conducted by using PFC^(3D).By comparison of the testing results between virtual tests and actual laboratory tests,the validity of the microstructure modeling and virtual test built in this study was ***,compared with laboratory test,the virtual test is easier to conduct and has less *** is proved that microstructure modeling and virtual test based on three-dimensional discrete element method is a promising way to conduct research of asphalt mixture.

关键词： asphalt mixture microstructure modeling virtual test discrete element method three-dimensional method

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microstructure modeling of random composites with cylindrical inclusions having high volume fraction and broad aspect ratio distribution

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COMPUTATIONAL MATERIALS SCIENCE 2016年 125卷 309-318页

作者： Islam, Mohammad Tudryn, Gregory J. Picu, Catalin R. Rensselaer Polytech Inst Dept Mech Aerosp & Nucl Engn Troy NY 12180 USA Ecovat Design LLC Green Island NY 12183 USA

This paper presents a computational methodology for generating microstructure models of random composites with cylindrical or sphero-cylindrical inclusions having high volume fraction and broad aspect ratio distribution. The proposed methodology couples the random sequential adsorption (RSA) algorithm and dynamic finite element (FE) simulations. It uses RSA to generate sparse inclusion assemblies of low volume fraction and subsequently utilizes dynamic FE simulation for inclusion packing to achieve high volume fractions. The method can generate RVEs with volume fraction as high as 50% depending on the inclusion aspect ratio. Its capability is demonstrated by generating three distinct types of models with different inclusion characteristics which are further characterized in terms of homogeneity and isotropy. The results indicate that the proposed method is capable of generating models with low spatial variability of the filler orientation and volume fraction. The method can be used to generate input configurations for continuum and discrete representations of such random media. (C) 2016 Elsevier B.V. All rights reserved.

关键词： microstructure modeling Random inclusion composites Dynamic packing simulation

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microstructure modeling for Prediction of Thermal Conductivity of Plain Weave C/SiC Composites Considering Manufacturing Flaws

Microstructure Modeling for Prediction of Thermal Conductivi...

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International Conference on Advanced Materials and its Application (AMA 2012)

作者： Li, Shengshan Tong, Xiaoyan Yao, Leijiang Li, Bin Northwestern Polytech Univ Sci & Technol UVA Lab Xian 710065 Peoples R China

ISBN: (纸本)9783037853757

Utilized photomicrographs taken by scanning electron microscope (SEM), an accurate representative volume element (RVE) model for plain weave C/SiC composites is established. Based on the steady-analysis method, the in-plane and thickness direction thermal conductivity of the C/SiC composites are calculated as 25.6Wm(-1)K(-1) and 12.1Wm(-1)K(-1), respectively. The manufacturing flaws have different effect on thermal conductivity. Compared with RVE without flaws, the result shows that matrix cracks make thermal conductivity decrease by 7.2% in the in-plane direction and have little effect in the thickness direction;matrix porosities have a significant effect on thermal conductivity, which make the thermal conductivity decrease by 16.7% in the in-plane direction and decrease by 25.4% in the thickness direction. The variation law of thermal conductivity along with porosity volume is also observed: as matrix porosity volume fraction is increasing, the thermal conductivity of material shows significant decrease.

关键词： microstructure modeling SEM thermal conductivity C/SiC RVE

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microstructure modeling for Prediction of thermal expansion coefficient of Plain Weave C/SiC Considering Manufacturing porosities

Microstructure Modeling for Prediction of thermal expansion ...

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International Conference on Chemical, Material and Metallurgical Engineering (ICCMME 2011)

作者： Lv, Shengli Zeng, Qingna Yao, Leijiang Tong, Xiaoyan NW Polytech Univ Natl Key Lab Sci & Technol UVA Xian 710065 Peoples R China

ISBN: (纸本)9783037853092

The aim of this paper is to propose a microstructure modeling for prediction of thermal conductivity of plain weave C/SiC fibre bundles considering manufacturing flaws. Utilizing photomicrographs taken by scanning electron microscope (SEM), we established an accurate sub representative volume element (sub-RVE) model for carbon fiber bundles and RVE for the plain weave C/SiC composite with consideration of four classes of manufacturing porosity. The thermal expansion coefficient of carbon fibre bundles on axial and transverse coefficient of thermal expansion is calculated, respectively. Based on which thermal expansion coefficient of plain weave C/SiC is obtained with the value of 2.71 X 10(-6) in-plain, which has a good correlation with experimental value. The influences of different manufacturing flaws on material's thermal expansion coefficient are studied. The study shows that as the matrix porosity or crack volume fraction is increasing, thermal expansion coefficient of plain weave C/SiC is decreasing correspondingly while the speed gradually slows.

关键词： microstructure modeling SEM thermal expansion coefficient C/SiC sub-RVE RVE

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microstructure modeling for Prediction of Thermal conductivity of Plain Weave C/SiC fibre bundles Considering Manufacturing flaws

Microstructure Modeling for Prediction of Thermal conductivi...

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International Conference on Mechanics and Manufacturing Systems (ICMMS 2011)

作者： Lv, Shengli Zeng, Qingna Yao, Leijiang Chen, Liuding Tong, Xiaoyan NW Polytech Univ Sci & Technol UVA Lab Xian 710065 Peoples R China

ISBN: (纸本)9783037852750

The aim of this paper is to propose a microstructure modeling for prediction of thermal conductivity of plain weave C/SiC fibre bundles considering manufacturing flaws. Utilized photomicrographs taken by scanning electron microscope (SEM), an accurate representative volume element (RVE) model for carbon fiber bundles is established. Based on the steady-analysis method, the axial and transverse thermal conductivity of the carbon fibre bundles are calculated as 40.32Wm(-1) K-1 and 11.33 Wm(-1) K-1, respectively. The manufacturing flaws have different effects on thermal conductivity, the study shows that class A porosity has a significant effect on thermal conductivity, which leads to the thermal conductivity on the axial direction decrease by 13.31% and transverse direction decrease by 20.56% compared with no flaws RVE. While class B porosity has little influence on the k-value. The change law of axial and transverse thermal conductivity along with porosity volume is also observed: as porosity volume fraction is increasing, the thermal conductivity of fibre bundles shows significant linear decrease.

关键词： microstructure modeling SEM thermal conductivity C/SiC carbon fibre bundles RVE

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Computational microstructure modeling to estimate progressive moisture damage behavior of asphaltic paving mixtures

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INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS 2013年第13期37卷 2005-2020页

作者： Ban, Hoki Kim, Yong-Rak Rhee, Suk-Keun Univ Nebraska Dept Civil Engn Lincoln NE 68588 USA Kyung Hee Univ Dept Civil Engn Yongin 446701 Gyeonggi Do South Korea

This paper presents a computational microstructure model to estimate the progressive moisture damage of multiphase asphaltic paving mixtures. Moisture damage because of water transport is incorporated with mechanical loading through a finite element method. To simulate nonlinear damage evolution in the mixtures, the model includes Fickian moisture diffusion, a cohesive zone model to simulate the gradual fracture process, and a degradation characteristic function to represent the reduction of material properties because of moisture infiltration. With the model developed, various parametric analyses are conducted to investigate how each model parameter affects the material-specific moisture damage mechanism and damage resistance potential of the mixtures. Analysis results clearly demonstrate the significance of physical and mechanical properties of mixture components and geometric characteristics of microstructure for the better design of asphaltic paving mixtures and roadway structures. Copyright (C) 2012 John Wiley & Sons, Ltd.

关键词： moisture damage asphalt paving mixtures microstructure modeling cohesive zone finite element method

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Voronoi Diagram-Based microstructure modeling and Micromechanical Analysis of Quenched C35 Steel

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METALLOGRAPHY microstructure AND ANALYSIS 2021年第1期10卷 96-105页

作者： Sanchu, S. Biju, N. Namboothiri, V. N. N. Cochin Univ Sci & Technol Div Mech Engn SOE Kochi Kerala India

In this work, austenite-martensite transformation in a low alloy steel is modeled using Voronoi algorithm. The evolved fraction of martensite is predicted from the geometry of the Voronoi diagram constructed, incorporating nucleation kinetics of martensite and Voronoi algorithm. The obtained results are validated against the Koistinen-Marburger equation. The geometrical properties of evolved martensite phase are identified using the characteristics of Poisson-Voronoi diagram. Finally, the microstructure developed is used to analyze local stress-strain behavior of different phases in the microscale. Results show that higher stress values are distributed in martensite phase and higher strain values are distributed in austenite phase.

关键词： microstructure modeling Voronoi diagram Martensite evolution Micromechanical modeling

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Advances on microstructure modeling of Solidification Process of Shape Casting

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Tsinghua Science and Technology 2004年第5期9卷 497-505页

作者：柳百成许庆彦 Department of Mechanical Engineering Tsinghua University Beijing 100084 China

Simulation technology for shape casting at macro-scale has been successfully put into engineer- ing application in a number of casting plants and as a result the quality of castings is assured, the research and development time is shortened, and the manufacturing cost is greatly saved as well. In this paper, mod- eling and simulation technologies of solidification process of shape casting at microstructure-scale, espe- cially deterministic, cellular automaton, and phase field models are studied and reviewed.

关键词： microstructure modeling deterministic model stochastic model Monte Carlo method cellular automaton phase field

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microstructure modeling and Ultrasonic Wave Propagation Simulation of A206-Al₂O₃ Metal Matrix Nanocomposites for Quality Inspection

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JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME 2016年第3期138卷 031008-031008页

作者： Liu, Yuhang Wu, Jianguo Zhou, Shiyu Li, Xiaochun Univ Wisconsin Dept Ind & Syst Engn 3255 Mech Engn1513 Univ Ave Madison WI 53706 USA Univ Calif Los Angeles Dept Mech & Aerosp Engn 48-121G Eng 4 Los Angeles CA 90095 USA

Ultrasonic testing is a promising alternative quality inspection technique to the expensive microscopic imaging to characterize metal matrix nanocomposites. However, due to the complexity of the wave-microstructure interaction, and the difficulty in fabricating nanocomposites of different microstructural features, it is very challenging to build reliable relationships between ultrasonic testing results and nanocomposites quality. In this research, we propose a microstructure modeling and wave propagation simulation method to simulate ultrasonic attenuation characteristic for A206-Al2O3 metal matrix nanocomposites (MMNCs). In particular, a modified Voronoi diagram is used to reproduce the microstructures and the numeric method elastodynamic finite integration technique (EFIT) is used to simulate the wave propagation through the generated microstructures. Linear mixed effects model (LME) is used to quantify the between-curve variation of ultrasonic attenuation from both experiment and simulation. Permutation test is employed to quantify the similarity of the quantified variation between experiment and simulation. This research supports the experimental results through the simulation approach and provides a better understanding of the relationship between attenuation curves and the microstructures.

关键词： microstructure modeling metal matrix nanocomposites ultrasonic attenuation acoustic wave numeric simulation

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Reconstruction of porous electrodes by FIB/SEM for detailed microstructure modeling

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JOURNAL OF POWER SOURCES 2011年第17期196卷 7302-7307页

作者： Joos, Jochen Carraro, Thomas Weber, Andre Ivers-Tiffee, Ellen Karlsruher Inst Technol Inst Werkstoffe Elektrotech D-76131 Karlsruhe Germany Karlsruher Inst Technol Ctr Funct Nanostruct D-76131 Karlsruhe Germany Univ Heidelberg Inst Angew Math D-62120 Heidelberg Germany

Polarization losses within electrodes of solid oxide fuel cells (SOFCs) are determined both by material composition and microstructure. Improvement in performance can be supported by a detailed characterization and modeling of the electrode microstructure. Focused ion beam (FIB) and scanning electron microscopy (SEM) combined with image processing have already proven potential for the reconstruction of porous electrodes. In this contribution the serialized reconstruction procedure of a high-performance, mixed ionic-electronic conducting La0.58Sr0.4Co0.2Fe0.8O3-delta (LSCF)-cathode will be illustrated in detail. Based on corrected reconstruction data sets and by the evaluation of qualified algorithms discriminating between porosity and electrode material, a sensitivity analysis of the grayscale threshold value on the essential parameters (i) surface area, (ii) volume/porosity fraction and (iii) tortuosity is performed. (C) 2010 Elsevier B.V. All rights reserved.

关键词： SOFC LSCF Focused ion beam (FIB) microstructure modeling Segmentation algorithm

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