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Convex models of uncertainty in applied mechanics
Title:
Convex models of uncertainty in applied mechanics
Author:
Ben-Haim, Yakov, 1952-
ISBN:
9780444884060
9781483290973
Personal Author:
Publication Information:
Amsterdam ; New York : Elsevier, 1990.
Physical Description:
1 online resource (xvii, 221 pages) : illustrations.
Series:
Studies in applied mechanics ; 25
Studies in applied mechanics ; 25.
Contents:
Front Cover; Convex Models of Uncertainty in Applied Mechanics; Copyright Page; Dedication; Foreword; Table of Content; Preface; Chapter 1. Probabilistic Modelling: Pros and Cons; 1.1 Preliminary Considerations; 1.2 Probabilistic Modelling in Mechanics; 1.3 Some Quotations on the Limitations of Probabilistic Methods; Chapter 2. Mathematics of Convexity; 2.1 Convexity and Uncertainty; 2.2 What is Convexity?; 2.3 The Structure of Convex Sets; 2.4 Convex Models; Chapter 3. Uncertain Excitations; 3.1 Introductory Examples; 3.2 Vehicle Vibration; 3.3 Seismic Excitation; 3.4 Vibration Measurements
Chapter 4. Geometric Imperfections4.1 Dynamics of Thin Bars; 4.2 Impact Loading of Thin Shells; 4.3 Budding of Thin Shells; Chapter 5. Concluding Remarks; Bibliography; Index
Abstract:
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.
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Electronic Access:
ScienceDirect http://www.sciencedirect.com/science/book/9780444884060Available:*
Shelf Number | Item Barcode | Shelf Location | Status |
|---|---|---|---|
| QA640 .B45 1990 | 1177700-1001 | Elsevier E-Book Collections | Searching... |
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