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020 _a9783030940911
024 7 _a10.1007/978-3-030-94091-1
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQC176.8.M5
_b2022 EB
100 _aÖchsner, Andreas.
_eautor
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_997249
245 1 0 _aMicromechanics of Fiber-Reinforced Laminae
_cby Andreas Öchsner
250 _aFirst edition 2022
264 1 _aCham
_bSpringer International Publishing
_c2022
300 _a1 recurso en línea (X, 52 páginas)
_b34 ilustraciones, 28 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aarchivo de texto
_bPDF
490 0 _aSpringerBriefs in Continuum Mechanics
_x2625-1337
505 0 _a1. 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 _aThis 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.
988 _aSpringer_Engineering_2022
650 7 _2embne
_9670142
_aMicromecánica
650 7 _2embne
_9672958
_aLaminación
776 0 8 _iPrinted edition:
_z9783030940904
776 0 8 _iPrinted edition:
_z9783030940928
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-94091-1
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b04/2022
_dz
_eIG
_zSI