Mathematical Methods And Models In Composites

Released on by Vladislav Mantic
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  • Mathematical Methods And Models In Composites Book Detail

  • Author : Vladislav Mantic
  • Release Date : 2013-10-25
  • Publisher : World Scientific
  • Genre : Technology & Engineering
  • Pages : 521
  • ISBN 13 : 178326411X
  • File Size : 41,41 MB
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Mathematical Methods And Models In Composites by Vladislav Mantic PDF Summary

Book Description: This book provides a representative selection of the most relevant, innovative, and useful mathematical methods and models applied to the analysis and characterization of composites and their behaviour on micro-, meso-, and macroscale. It establishes the fundamentals for meaningful and accurate theoretical and computer modelling of these materials in the future. Although the book is primarily concerned with fibre-reinforced composites, which have ever-increasing applications in fields such as aerospace, many of the results presented can be applied to other kinds of composites. The topics covered include: scaling and homogenization procedures in composite structures, thin plate and wave solutions in anisotropic materials, laminated structures, instabilities, fracture and damage analysis of composites, and highly efficient methods for simulation of composites manufacturing. The results presented are useful in the design, fabrication, testing, and industrial applications of composite components and structures. The book is written by well-known experts in different areas of applied mathematics, physics, and composite engineering and is an essential source of reference for graduate and doctoral students, as well as researchers. It is also suitable for non-experts in composites who wish to have an overview of both the mathematical methods and models used in this area and the related open problems requiring further research.

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Asymptotical Mechanics of Composites

Asymptotical Mechanics of Composites

File Size : 75,75 MB
Total View : 7900 Views
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In this book the authors show that it is possible to construct efficient computationally oriented models of multi-parameter complex systems by using asymptotic