Probabilities and Materials

D. Breysse

ISBN 10: 9401045003 / ISBN 13: 9789401045001

Published by Springer Netherlands Nov 2012, 2012

About this Item

This item is printed on demand - it takes 3-4 days longer - Neuware -Most industrial and natural materials exhibit a macroscopic behaviour which results from the existence of microscale inhomogeneities. The influence of such inhomogeneities is commonly modelled using probabilistic methods. Most of the approaches to the evaluation of the safety of structures according to probabilistic criteria are somewhat scattered, however, and it is time to present such material in a coherent and up-to-date form. Probabilities and Materials undertakes this task, and also defines the great tasks that must be tackled in coming years. For engineers and researchers dealing with materials, geotechnics, solid mechanics, soil mechanics, statistics and stochastic processes. The expository nature of the book means that no prior knowledge of statistics or probability is required of the reader. The book can thus serve as an excellent introduction to the nature of applied statistics and stochastic modelling. 556 pp. Englisch.

Seller Inventory # 9789401045001

Bibliographic Details

• Title: Probabilities and Materials
• Publisher: Springer Netherlands Nov 2012
• Publication Date: 2012
• Language: English
• ISBN 10: 9401045003
• ISBN 13: 9789401045001
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 240W x 160H x 30D millimeters 240 millimeters width by 160 millimeters height by 30 millimeters depth
• Weight: 877 grams

About this title

Synopsis

Most industrial and natural materials exhibit a macroscopic behaviour which results from the existence of microscale inhomogeneities. The influence of such inhomogeneities is commonly modelled using probabilistic methods. Most of the approaches to the evaluation of the safety of structures according to probabilistic criteria are somewhat scattered, however, and it is time to present such material in a coherent and up-to-date form. Probabilities and Materials undertakes this task, and also defines the great tasks that must be tackled in coming years.
For engineers and researchers dealing with materials, geotechnics, solid mechanics, soil mechanics, statistics and stochastic processes. The expository nature of the book means that no prior knowledge of statistics or probability is required of the reader. The book can thus serve as an excellent introduction to the nature of applied statistics and stochastic modelling.