LEADER 03996nam 2200553 450 001 9910135012503321 005 20180613003322.0 010 $a1-119-30763-5 010 $a1-119-30757-0 010 $a1-119-30756-2 035 $a(CKB)4330000000010122 035 $a(EBL)4558124 035 $a(MiAaPQ)EBC4558124 035 $a(EXLCZ)994330000000010122 100 $a20160711h20162016 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aApplied RVE reconstruction and homogenization of heterogeneous materials /$fYves Re?mond [and three others] 210 1$aLondon, England ;$aHoboken, New Jersey :$cISTE :$cWiley,$d2016. 210 4$dİ2016 215 $a1 online resource (211 p.) 225 1 $aMaterials Science Series 300 $aDescription based upon print version of record. 311 $a1-84821-901-6 320 $aIncludes bibliographical references and index. 327 $aCover; 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; APPENDICES 327 $aAppendix 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 microstructure 327 $a2.4. 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 algorithm 327 $a4.5. 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 work 327 $a2.6.1. Examination of the necessary conditions for the proposed estimation 410 0$aMaterials science series (London, England) 606 $aInhomogeneous materials$xStatistical methods 606 $aHomogenization (Differential equations) 608 $aElectronic books. 615 0$aInhomogeneous materials$xStatistical methods. 615 0$aHomogenization (Differential equations) 676 $a620.11 700 $aRe?mond$b Yves$01248212 702 $aRe?mond$b Yves 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910135012503321 996 $aApplied RVE reconstruction and homogenization of heterogeneous materials$92893161 997 $aUNINA