03996nam 2200553 450 991013501250332120180613003322.01-119-30763-51-119-30757-01-119-30756-2(CKB)4330000000010122(EBL)4558124(MiAaPQ)EBC4558124(EXLCZ)99433000000001012220160711h20162016 uy 0engur|n|---|||||rdacontentrdamediardacarrierApplied RVE reconstruction and homogenization of heterogeneous materials /Yves Rémond [and three others]London, England ;Hoboken, New Jersey :ISTE :Wiley,2016.©20161 online resource (211 p.)Materials Science SeriesDescription based upon print version of record.1-84821-901-6 Includes bibliographical references and index.Cover; Title Page; Copyright; Contents; Preface; Introduction; 1: Literature Survey; 2: Calculation of Two-Point Correlation Functions; 3: Approximate Solution for N-Point Correlation Functions for Heterogeneous Materials; 4: Reconstruction of Heterogeneous Materials Using Two-Point Correlation Functions; 5: Homogenization of Mechanical and Thermal Behavior of Nanocomposites Using Statistical Correlation Functions: Application to Nanoclay-based Polymer Nanocomposites; 6: Homogenization of Reconstructed RVE; APPENDICESAppendix 2: Verification of the Boundary Conditions for the Approximated Four-Point Probability FunctionBibliography; Index; Other titles from ISTE in Materials Science; ELUA; 1.1. Random heterogeneous material; 1.2. Two-point probability functions; 1.3. Two-point cluster functions; 1.4. Lineal-path function; 1.5. Reconstruction; 1.6. Homogenization methods for effective properties; 1.7. Assumption of statistical continuum mechanics; 1.8. Representative volume element; 2.1. Introduction; 2.2. Monte Carlo calculation of TPCF; 2.3. Two-point correlation functions of eigen microstructure2.4. Calculation of two-point correlation functions using SAXS or SANS data2.5. Necessary conditions for two-point correlation functions; 2.6. Approximation of two-point correlation functions; 2.7. Conclusion; 3.1. Introduction; 3.3. Approximation of four-point correlation functions; 3.4. Approximation of N-point correlation functions; 3.5. Results; 3.6. Conclusions; 4.1. Introduction; 4.2. Monte Carlo reconstruction methodology; 4.3. Reconstruction procedure using the simulated annealing (SA) algorithm; 4.4. Phase recovery algorithm4.5. 3D reconstruction of non-eigen microstructure using correlation functions4.6. Conclusion; 5.1. Introduction; 5.2. Modified strong-contrast approach for anisotropic stiffness tensor of multiphase heterogeneous materials; 5.3. Strong-contrast approach effective to thermal conductivity of multiphase heterogeneous materials; 5.4. Simulation and experimental verification; 5.5. Results and discussion; 5.6. Conclusion; 6.1. Introduction; 6.4. FEM analysis of debonding-induced damage model for polymer composites; 6.5. Conclusion and future work2.6.1. Examination of the necessary conditions for the proposed estimationMaterials science series (London, England)Inhomogeneous materialsStatistical methodsHomogenization (Differential equations)Electronic books.Inhomogeneous materialsStatistical methods.Homogenization (Differential equations)620.11Rémond Yves1248212Rémond YvesMiAaPQMiAaPQMiAaPQBOOK9910135012503321Applied RVE reconstruction and homogenization of heterogeneous materials2893161UNINA