Stochastic Elasticity

Stochastic Elasticity
Author :
Publisher : Springer Nature
Total Pages : 283
Release :
ISBN-10 : 9783031066924
ISBN-13 : 3031066928
Rating : 4/5 (24 Downloads)

Book Synopsis Stochastic Elasticity by : L. Angela Mihai

Download or read book Stochastic Elasticity written by L. Angela Mihai and published by Springer Nature. This book was released on 2022-09-01 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Stochastic Elasticity Related Books

Stochastic Elasticity
Language: en
Pages: 283
Authors: L. Angela Mihai
Categories: Mathematics
Type: BOOK - Published: 2022-09-01 - Publisher: Springer Nature

DOWNLOAD EBOOK

Stochastic elasticity is a fast developing field that combines nonlinear elasticity and stochastic theories in order to significantly improve model predictions
Data-driven Modelling of Structured Populations
Language: en
Pages: 339
Authors: Stephen P. Ellner
Categories: Mathematics
Type: BOOK - Published: 2016-05-13 - Publisher: Springer

DOWNLOAD EBOOK

This book is a “How To” guide for modeling population dynamics using Integral Projection Models (IPM) starting from observational data. It is written by a l
Stochastic Benchmarking
Language: en
Pages: 154
Authors: Alireza Amirteimoori
Categories: Business & Economics
Type: BOOK - Published: 2021-12-11 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stocha
Encyclopedia of Theoretical Ecology
Language: en
Pages: 1877
Authors: Dr. Alan Hastings
Categories: Nature
Type: BOOK - Published: 2012-05-31 - Publisher: Univ of California Press

DOWNLOAD EBOOK

This major reference is an overview of the current state of theoretical ecology through a series of topical entries centered on both ecological and statistical
Issues in Ecosystem Ecology: 2011 Edition
Language: en
Pages: 1999
Authors:
Categories: Science
Type: BOOK - Published: 2012-01-09 - Publisher: ScholarlyEditions

DOWNLOAD EBOOK

Issues in Ecosystem Ecology / 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Ecosystem Ec