Elastic properties prediction models of continuous fibers composites

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46709002%3A_____%2F18%3AN0000029" target="_blank" >RIV/46709002:_____/18:N0000029 - isvavai.cz</a>

Výsledek na webu

—

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Elastic properties prediction models of continuous fibers composites

Popis výsledku v původním jazyce

The determination of engineering constants and how these are best applied in practice is an important theoretical basis of modern composites design. Specific characterization of the composite material’s moduli and Poisson’s ratios, are values that enable the identification of elastic constants that determine the stiffness matrix. These key datum need to be precisely determined to accurately model any composite material behaviour under finite element analysis. The prediction of material properties in longitudinal direction is the most straightforward to calculate. However it is often far more difficult to predict properties in transversal directions. Additional factors need to be considered in the analysis of transverse behaviour in composite materials. Therefore far more data is needed to model composite material behaviour in transverse directions, where each can influence the results in unique ways. Empirical testing that matches the predicted and any theoretical results not only validates the model, but is a satisfying goal of the skilled engineer. In practice, there are many prediction methods used to model composite material behaviour. These can be best separated into several definitive groups according to model derivation. The most used methods are thereby presented in this book, to serve as a guide to applying the most appropriate method to the specific model being derived.

Název v anglickém jazyce

Elastic properties prediction models of continuous fibers composites

Popis výsledku anglicky

The determination of engineering constants and how these are best applied in practice is an important theoretical basis of modern composites design. Specific characterization of the composite material’s moduli and Poisson’s ratios, are values that enable the identification of elastic constants that determine the stiffness matrix. These key datum need to be precisely determined to accurately model any composite material behaviour under finite element analysis. The prediction of material properties in longitudinal direction is the most straightforward to calculate. However it is often far more difficult to predict properties in transversal directions. Additional factors need to be considered in the analysis of transverse behaviour in composite materials. Therefore far more data is needed to model composite material behaviour in transverse directions, where each can influence the results in unique ways. Empirical testing that matches the predicted and any theoretical results not only validates the model, but is a satisfying goal of the skilled engineer. In practice, there are many prediction methods used to model composite material behaviour. These can be best separated into several definitive groups according to model derivation. The most used methods are thereby presented in this book, to serve as a guide to applying the most appropriate method to the specific model being derived.

Druh

B - Odborná kniha

CEP obor

—

OECD FORD obor

20505 - Composites (including laminates, reinforced plastics, cermets, combined natural and synthetic fibre fabrics; filled composites)

Projekt

<a href="/cs/project/LO1213" target="_blank" >LO1213: Excelentní Strojírenský Výzkum</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

ISBN

978-80-87184-81-3

Počet stran knihy

188

Název nakladatele

VÚTS, a.s.

Místo vydání

Liberec

Kód UT WoS knihy

—