1.

Record Nr.

UNINA9910522982403321

Autore

Öchsner Andreas

Titolo

Micromechanics of Fiber-Reinforced Laminae / / by Andreas Öchsner

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

9783030940911

9783030940904

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (60 pages)

Collana

SpringerBriefs in Continuum Mechanics, , 2625-1337

Disciplina

620.118

Soggetti

Continuum mechanics

Building materials

Composite materials

Continuum Mechanics

Structural Materials

Composites

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1. Introduction -- 2 Prediction of Elastic Properties of Laminae -- 3 Comparison with Experimental Results -- 4. Comparison between Theoretical Predictions and Experimental Results -- 5 Optimized Representation of Theoretical Predictions.

Sommario/riassunto

This book provides an introduction to the micromechanics of fiber-reinforced laminae, which deals with the prediction of the macroscopic mechanical lamina properties based on the mechanical properties of the constituents, i.e., fibers and matrix. Composite materials, especially fiber-reinforced composites, are gaining increasing importance since they can overcome the limits of many structures based on classical metals. Particularly, the combination of a matrix with fibers provides far better properties than the components alone. Despite their importance, many engineering degree programs do not treat the mechanical behavior of this class of advanced structured materials in detail, at least on the Bachelor degree level. Thus, some engineers are not able to thoroughly apply and introduce these modern engineering materials in their design process. The focus is on unidirectional lamina which can



be described based on orthotropic constitutive equations. Three classical approaches to predict the elastic properties, i.e., the mechanics of materials approach, the elasticity solutions with contiguity after Tsai, and the Halpin–Tsai relationships, are presented. The quality of each prediction is benchmarked based on two different sets of experimental values. The book concludes with optimized representations, which were obtained based on the least square approach for the used experimental data sets.