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Convex Models Of Uncertainty In Applied Mechanics eBook

de Y. Ben-Haim e I. Elishakoff
idioma: inglês
Editor: ELSEVIER SCIENCE, outubro de 2013 ‧
58,29€
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DISPONIBILIDADE IMEDIATA
Ebook para ADE
Recognition of the need to introduce the ideas of uncertainty in a wide variety of scientific fields today reflects in part some of the profound changes in science and engineering over the last decades. Nobody questions the ever-present need for a solid foundation in applied mechanics. Neither does anyone question nowadays the fundamental necessity to recognize that uncertainty exists, to learn to evaluate it rationally, and to incorporate it into design.This volume provides a timely and stimulating overview of the analysis of uncertainty in applied mechanics. It is not just one more rendition of the traditional treatment of the subject, nor is it intended to supplement existing structural engineering books. Its aim is to fill a gap in the existing professional literature by concentrating on the non-probabilistic model of uncertainty. It provides an alternative avenue for the analysis of uncertainty when only a limited amount of information is available. The first chapter briefly reviews probabilistic methods and discusses the sensitivity of the probability of failure to uncertain knowledge of the system. Chapter two discusses the mathematical background of convex modelling. In the remainder of the book, convex modelling is applied to various linear and nonlinear problems. Uncertain phenomena are represented throughout the book by convex sets, and this approach is referred to as convex modelling.This book is intended to inspire researchers in their goal towards further growth and development in this field.

Convex Models Of Uncertainty In Applied Mechanics

de Y. Ben-Haim e I. Elishakoff

Propriedade Descrição
ISBN: 9781483290973
Editor: ELSEVIER SCIENCE
Data de Lançamento: outubro de 2013
Idioma: Inglês
Tipo de produto: eBook
Formato e Compatibilidade: PDF para ADE
Coleção: Studies In Applied Mechanics
Classificação Temática: eBooks em Inglês > Ciências Exatas e Naturais > Matemática
EAN: 9781483290973