Applied RVE reconstruction and homogenization of heterogeneous materials (Record no. 62934)

MARC details
000 -LEADER
fixed length control field 02352nam a2200217 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119307570
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 621.38152 REM
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Remond, Yves
245 ## - TITLE STATEMENT
Title Applied RVE reconstruction and homogenization of heterogeneous materials
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2024.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Applied RVE Reconstruction and Homogenization of Heterogeneous Materials<br/>Statistical correlation functions are a well-known class of statistical descriptors that can be used to describe the morphology and the microstructure-properties relationship. A comprehensive study has been performed for the use of these correlation functions for the reconstruction and homogenization in nano­composite materials. Correlation functions are measured from different techniques such as microscopy (SEM or TEM), small angle X-ray scattering (SAXS) and can be generated through Monte Carlo simulations. In this book, different experimental techniques such as SAXS and image processing are presented, which are used to measure two-point correlation function correlation for multi-phase polymer composites.<br/><br/>Higher order correlation functions must be calculated or measured to increase the precision of the statistical continuum approach. To achieve this aim, a new approximation methodology is utilized to obtain N-point correlation functions for multiphase heterogeneous materials. The two-point functions measured by different techniques have been exploited to reconstruct the microstructure of heterogeneous media.<br/><br/>Statistical continuum theory is used to predict the effective thermal conductivity and elastic modulus of polymer composites. N-point probability functions as statistical descriptors of inclusions have been exploited to solve strong contrast homogenization for effective thermal conductivity and elastic modulus properties of heterogeneous materials.<br/><br/>Finally, reconstructed microstructure is used to calculate effective properties and damage modeling of heterogeneous materials.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Circuits
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Devices
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineered Materials
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Dielectrics
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element IEEE-Wiley Semiconductor Ebooks
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Nanomaterials
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ieeexplore.ieee.org/servlet/opac?bknumber=10518267">https://ieeexplore.ieee.org/servlet/opac?bknumber=10518267</a>
Link text Click here to access e-book
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type E- Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Materials specified (bound volume or other part) Damaged status Not for loan Home library Current library Date acquired Total Checkouts Full call number Date last seen Uniform Resource Identifier Price effective from Koha item type
    Dewey Decimal Classification IEEE-Wiley Semiconductor Ebooks     IIT Gandhinagar IIT Gandhinagar 13/06/2025   621.38152 REM 13/06/2025 https://ieeexplore.ieee.org/servlet/opac?bknumber=10518267 13/06/2025 E- Books


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