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Micromechanics of fiber-reinforced laminae /

紀錄類型:	書目-語言資料,印刷品 : 單行本
正題名/作者:	Micromechanics of fiber-reinforced laminae // Andreas Öchsner.
作者:	Ochsner, Andreas.
出版者:	Cham, Switzerland :Springer,2022.
面頁冊數:	x, 52 p. :ill. ;24 cm.
標題:	Fibrous composites - Mechanical properties. -
ISBN:	9783030940904
ISBN:	303094090X

Micromechanics of fiber-reinforced laminae /
Ochsner, Andreas.

Micromechanics of fiber-reinforced laminae /Andreas Öchsner. - Cham, Switzerland :Springer,2022. - x, 52 p. :ill. ;24 cm. - SpringerBriefs in applied sciences and technology. - SpringerBriefs in applied sciences and technology.Continuum mechanics..

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.

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 HalpinTsai 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.

ISBN: 9783030940904NT1259Subjects--Topical Terms:

1000060709
Fibrous composites
--Mechanical properties.

LC Class. No.: TA418.9.C6

Dewey Class. No.: 620.1/18

Micromechanics of fiber-reinforced laminae /
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505 0 $a 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.
520 $a 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 HalpinTsai 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.
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