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Stochastic Elasticity - A Nondeterministic Approach to the Nonlinear Field Theory (Hardcover, 1st ed. 2022) Loot Price: R2,904
Discovery Miles 29 040
Stochastic Elasticity - A Nondeterministic Approach to the Nonlinear Field Theory (Hardcover, 1st ed. 2022): L. Angela Mihai

Stochastic Elasticity - A Nondeterministic Approach to the Nonlinear Field Theory (Hardcover, 1st ed. 2022)

L. Angela Mihai

Series: Interdisciplinary Applied Mathematics, 55

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Loot Price R2,904 Discovery Miles 29 040 | Repayment Terms: R272 pm x 12*

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Stochastic elasticity is a fast developing field that combines nonlinear elasticity and stochastic theories in order to significantly improve model predictions by accounting for uncertainties in the mechanical responses of materials. However, in contrast to the tremendous development of computational methods for large-scale problems, which have been proposed and implemented extensively in recent years, at the fundamental level, there is very little understanding of the uncertainties in the behaviour of elastic materials under large strains. Based on the idea that every large-scale problem starts as a small-scale data problem, this book combines fundamental aspects of finite (large-strain) elasticity and probability theories, which are prerequisites for the quantification of uncertainties in the elastic responses of soft materials. The problems treated in this book are drawn from the analytical continuum mechanics literature and incorporate random variables as basic concepts along with mechanical stresses and strains. Such problems are interesting in their own right but they are also meant to inspire further thinking about how stochastic extensions can be formulated before they can be applied to more complex physical systems.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Series: Interdisciplinary Applied Mathematics, 55
Release date: September 2022
First published: 2022
Authors: L. Angela Mihai
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 275
Edition: 1st ed. 2022
ISBN-13: 978-3-03-106691-7
Categories: Books > Science & Mathematics > Mathematics > Probability & statistics
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Differential equations
Books > Science & Mathematics > Mathematics > Applied mathematics > Stochastics
Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
Books > Science & Mathematics > Physics > Classical mechanics > General
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LSN: 3-03-106691-X
Barcode: 9783031066917

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