Chapter 1Overview
1.1Motivation
1.2Purpose and approach
1.3Organization of thesis
Chapter 2Background and theoretical fundamentals
2.1Micromechanics of composite material
2.2Homogenization and localization theory
2.3Conventional heterogeneous material design
2.4Literature review on coated particulate composite material
2.4.1Application and characteristics performance
2.4.2Manufacturing
2.4.3Numerical approach for multiscale modeling
Chapter 3Firstorder perturbation based probabilistic multiscale theory
3.1Introduction
3.2Problem setting of threephase composite material
3.3Firstorder perturbation based stochastic homogenization
3.4Computer implementation
3.5Simplification case of porous material
3.6Extensionof firstorder perturbation based stochastic homogenization to
nphase constituent material
Chapter 4Computational material design methods
4.1Introduction
4.2Parameterization modeling
4.3Probabilistic sensitivity considering manufacturing based random field
modeling
4.4Update of prediction
Chapter 5Numerical example for coated particulate composite material
5.1Introduction
5.2Microstructure generation algorithm for coated particulate composite material
5.3Result and discussion on probabilistic homogenized property for coated
particulate composite material
5.4Result and discussion on probabilistic sensitivity for coated particulate
composite material
Stochastic Multiscale Simulation Method and Application for Composite Material
Chapter 6Numerical example for spherical porous material
6.1Introduction
6.2Numerical example setting for spherical porous material
6.3Microstructure generation algorithm
6.4Regression curve of probabilistic homogenized elastic property for
spherical porous material
6.5Update of prediction by experimental data
Chapter 7Numerical example for lattice structure by selective laser sintering
7.1Introduction
7.2Definition of lattice structure and process parameters of selective
laser sintering
7.3Geometrical imperfections
7.4Compression test
7.5Stochastic homogenization analysis and discussion
7.5.1Firstorder perturbation based stochastic homogenization method
7.5.2Statistical finite element models with geometrical imperfections
7.5.3Numerical results and discussion
Chapter 8Discussions on theoretical framework of firstorder perturbation
based stochastic homogenization method
8.1Findings
8.2List of assumptions and limitations
8.3Future works
8.3.1Potential application to Fiber reinforced plastics
8.3.2Extension touncertainty propagation
8.3.3Reduction of computational time
Appendix ANomenclature
Appendix BMicroscopic stress analysis and verification of probabilistic sensitivity
for strength prediction of coated particulate composite material
Appendix CMicroscopic stress concentration check for spherical porous material
Reference
內容試閱：
This book aims at introducing a probabilistic multiscale simulation based approach for design and fabrication of materials considering microstructural uncertainties. It is apparently clear from the extant literature that the parameters to capture microstructural uncertainties are unclear, and it is therefore very challenging to frame the research problem either using the homogenization process or using a statistical model.
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