Virtual Design and Validation / edited by Peter Wriggers, Olivier Allix, Christian Weißenfels
Contributor(s): SpringerLink (Online service)
| Wriggers, Peter, editor | Allix, Olivier, editor | Weißenfels, Christian, editor
Material type:
E-bookSeries: (Lecture Notes in Applied and Computational Mechanics, 1613-7736; 93); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2020Edition: First edition 2020.Description: 1 recurso en línea (VIII, 347 páginas) : 201 ilustraciones, 162 ilustraciones a color.ISBN: 9783030381561.Subject: Materiales de construcción
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | TA403 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.22042026 |
Experiments and Virtual Design -- Composites -- Fracture and Fatigue -- Uncertainty Quantification.
This book provides an overview of the experimental characterization of materials and their numerical modeling, as well as the development of new computational methods for virtual design. Its 17 contributions are divided into four main sections: experiments and virtual design, composites, fractures and fatigue, and uncertainty quantification. The first section explores new experimental methods that can be used to more accurately characterize material behavior. Furthermore, it presents a combined experimental and numerical approach to optimizing the properties of a structure, as well as new developments in the field of computational methods for virtual design. In turn, the second section is dedicated to experimental and numerical investigations of composites, with a special focus on the modeling of failure modes and the optimization of these materials. Since fatigue also includes wear due to frictional contact and aging of elastomers, new numerical schemes in the field of crack modeling and fatigue prediction are also discussed. The input parameters of a classical numerical simulation represent mean values of actual observations, though certain deviations arise: to illustrate the uncertainties of parameters used in calculations, the book's final section presents new and efficient approaches to uncertainty quantification.
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