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復(fù)合材料隨機(jī)多尺度分析數(shù)值方法與工程應(yīng)用

復(fù)合材料隨機(jī)多尺度分析數(shù)值方法與工程應(yīng)用

定 價(jià):¥48.00

作 者: 文聘
出版社: 中國(guó)鐵道出版社
叢編項(xiàng):
標(biāo) 簽: 暫缺

ISBN: 9787113243265 出版時(shí)間: 2019-01-01 包裝: 平裝
開本: 16開 頁數(shù): 144 字?jǐn)?shù):  

內(nèi)容簡(jiǎn)介

  本書全面系統(tǒng)地論述了材料性能多尺度分析方法與攝動(dòng)展開漸進(jìn)均勻化方法的基本理論,建立了以概率隨機(jī)數(shù)值方法為基礎(chǔ)的等效彈性力學(xué)性能分析方法實(shí)現(xiàn)過程,較為全面地實(shí)現(xiàn)了對(duì)材料二維、三維彈性應(yīng)力場(chǎng)的隨機(jī)模擬。另外,本書還探討了多孔材料、多相復(fù)合材料隨機(jī)等效彈性力學(xué)性能統(tǒng)計(jì)分布特征,并提出了其相應(yīng)的模型。 本書適合作為普通高等學(xué)校力學(xué)專業(yè)或土木工程專業(yè)的教材,也可作為材料性能多尺度分析方法的參考書,還可供相關(guān)專業(yè)技術(shù)人員參考。

作者簡(jiǎn)介

  文聘,就職于武漢理工大學(xué)。2010年7月本科畢業(yè)于大連交通大學(xué),2013年7月碩士畢業(yè)于北京工業(yè)大學(xué),2016年7月博士畢業(yè)于日本慶應(yīng)義塾大學(xué),2016年7月~2018年9月于北京工業(yè)大學(xué)從事博士后研究。研究方向?yàn)樾滦筒牧?結(jié)構(gòu)力學(xué)性能分析與結(jié)構(gòu)設(shè)計(jì)。目前主持完成第62批中國(guó)博士后科學(xué)基金面上項(xiàng)目及國(guó)際交流項(xiàng)目,北京市及朝陽區(qū)博士后科學(xué)基金項(xiàng)目資助課題4項(xiàng)。參與完成日本振興科學(xué)學(xué)會(huì)項(xiàng)目課題2項(xiàng)。期刊上發(fā)表SCI、EI論文8篇。審批通過國(guó)家發(fā)明專利4件。獲得軟件著作權(quán)2件。

圖書目錄

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 3Firstorder perturbation based probabilistic multiscale theory

3.1Introduction

3.2Problem setting of threephase composite material

3.3Firstorder perturbation based stochastic homogenization

3.4Computer implementation

3.5Simplification case of porous material

3.6Extensionof firstorder perturbation based stochastic homogenization to
nphase 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

7.5.1Firstorder 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 firstorder 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

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