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Virtual design and validation

Wriggers, Peter.

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Virtual design and validation

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Virtual design and validation/ edited by Peter Wriggers, Olivier Allix, Christian Weissenfels.
其他作者:	Wriggers, Peter.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	viii, 347 p. :ill., digital ;24 cm.
內容註:	Experiments and Virtual Design -- Composites -- Fracture and Fatigue -- Uncertainty Quantification.
Contained By:	Springer Nature eBook
標題:	Materials - Mathematical models. -
電子資源:	https://doi.org/10.1007/978-3-030-38156-1
ISBN:	9783030381561

Virtual design and validation
Virtual design and validation[electronic resource] /edited by Peter Wriggers, Olivier Allix, Christian Weissenfels. - Cham :Springer International Publishing :2020. - viii, 347 p. :ill., digital ;24 cm. - Lecture notes in applied and computational mechanics,v.931613-7736 ;. - Lecture notes in applied and computational mechanics ;v.93..

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.

ISBN: 9783030381561

Standard No.: 10.1007/978-3-030-38156-1doiSubjects--Topical Terms:

595137
Materials
--Mathematical models.

LC Class. No.: TA404.23 / .V57 2020

Dewey Class. No.: 620.11015118

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