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Author: Mark Kachanov Publisher: Springer Science & Business Media ISBN: 9400757158 Category : Science Languages : en Pages : 393
Book Description
The book contains state-of the-art reviews in the area of effective properties of heterogeneous materials - the classical field at interface of materials science and solid mechanics. The primary focus is on thermo-mechanical properties, materials science applications, as well as computational aspects and new opportunities provided by rapidly increasing computer powers. The reviews are at the level that is appropriate for a substantial community of researchers working in this field, both at universities and in the industry, and to graduate students. The book can be used as supplementary reading to graduate level courses.
Author: Mark Kachanov Publisher: Springer Science & Business Media ISBN: 9400757158 Category : Science Languages : en Pages : 393
Book Description
The book contains state-of the-art reviews in the area of effective properties of heterogeneous materials - the classical field at interface of materials science and solid mechanics. The primary focus is on thermo-mechanical properties, materials science applications, as well as computational aspects and new opportunities provided by rapidly increasing computer powers. The reviews are at the level that is appropriate for a substantial community of researchers working in this field, both at universities and in the industry, and to graduate students. The book can be used as supplementary reading to graduate level courses.
Author: Salvatore Torquato Publisher: Springer Science & Business Media ISBN: 1475763557 Category : Mathematics Languages : en Pages : 720
Book Description
This accessible text presents a unified approach of treating the microstructure and effective properties of heterogeneous media. Part I deals with the quantitative characterization of the microstructure of heterogeneous via theoretical methods; Part II treats a wide variety of effective properties of heterogeneous materials and how they are linked to the microstructure, accomplished by using rigorous methods.
Author: Valeriy Buryachenko Publisher: Springer Science & Business Media ISBN: 0387684859 Category : Science Languages : en Pages : 704
Book Description
Here is an accurate and timely account of micromechanics, which spans materials science, mechanical engineering, applied mathematics, technical physics, geophysics, and biology. The book features rigorous and unified theoretical methods of applied mathematics and statistical physics in the material science of microheterogeneous media. Uniquely, it offers a useful demonstration of the systematic and fundamental research of the microstructure of the wide class of heterogeneous materials of natural and synthetic nature.
Author: Hans Jürgen Ohlbach Publisher: Springer Verlag ISBN: 9780387566672 Category : Computers Languages : en Pages : 397
Book Description
"This volume gives the proceedings of the sixteenth German Conference on Artificial Intelligence, held in the Gustav Stresemann Institute in Berlin from August 31 to September 3, 1992. The volume contains 24 papers presentedin the technical sessions, 8 papers selected from the workshop contributions, and an invited talk by D.M. Gabbay entitled "Howto construct a logic for your application". Topics discussed in the technical papers include: a model elimination calculus, a sorted logic, human theorem proving, deduction based on Shannon graphs, expert system applications, knowledge engineering, time interval networks, forward logic evaluation, concept support, heuristic inductivegeneralization, language engineering, feature logic, similarity assessment, and many others."--PUBLISHER'S WEBSITE.
Author: Yves Rémond Publisher: John Wiley & Sons ISBN: 1119307570 Category : Technology & Engineering Languages : en Pages : 212
Book Description
Applied RVE Reconstruction and Homogenization of Heterogeneous Materials 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. 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. 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. Finally, reconstructed microstructure is used to calculate effective properties and damage modeling of heterogeneous materials.
Author: Amine Mikdam Publisher: ISBN: Category : Languages : en Pages : 240
Book Description
Heterogeneities of materials may be due either to different atomic or molecular organization in the same material (semi-crystalline polymer or polycrystals), or to the presence of different constituents (composite materials). To determine the physical properties of these materials, experimentations, although expensive, is still necessary. Other disadvantages such as difficulty of implementing experimental procedures complicate the work of the researchers and engineers. Therefore modeling the effective properties using analytical models is positioned as a performance alternative to facilitate the understanding of the behavior of these heterogeneous materials. Many analytical models based on the volume fraction of each phase are used to predict the effective properties of heterogeneous materials. However, these models are based on different geometrical simplifications of the real material's microstructure. This work investigates the modeling of effective conductivity (electrical or thermal) of heterogeneous materials using statistical continuum theory. This methods use probability functions to take into account the microstructure distribution, shape of constituents and their orientations.
Author: Mark Kachanov
Author: Mark Kachanov
Author: Salvatore Torquato
Author: Charles Andrew Miller
Author: Christian Engström
Author: Paul Tangredi
Author: Valeriy Buryachenko
Author: Salvatore Toquato
Author: Hans Jürgen Ohlbach
Author: Yves Rémond
Author: Amine Mikdam