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Probabilities and Materials

Tests, Models and Applications

  • D. Breysse

Part of the NATO ASI Series book series (NSSE, volume 269)

Table of contents

  1. Front Matter
    Pages i-x
  2. Maurice Lemaire
    Pages 1-8
  3. M. Ostoja-Starzewski
    Pages 23-28
  4. D. Jeulin, P. Rossi
    Pages 39-43
  5. M. Soulié, E. Masengo
    Pages 81-94
  6. David Rosowsky
    Pages 119-129
  7. P. Rossi, X. Wu, F. Le Maou, A. Belloc
    Pages 131-139
  8. S. Roux
    Pages 163-175
  9. Luc Da Venne, Jean-Pierre Vilotte
    Pages 209-212
  10. M. Kachanov, I. Tsukrov, B. Shafiro
    Pages 225-240
  11. Somnath Ghosh, Suresh Moorthy
    Pages 273-284
  12. A. Poitou, F. Chinesta, F. Olmos
    Pages 293-303
  13. J. L. Chameau, B. Muhunthan
    Pages 305-319
  14. G. Frantziskonis
    Pages 361-375
  15. Jan G. M. Van Mier, Adri Vervuurt, Erik Schlangen
    Pages 377-388
  16. M. Coster, J.-L. Quenec’h, Chermant, D. Jeulin
    Pages 403-414
  17. Jan Carmeliet, René de Borst
    Pages 491-503
  18. L. Faravelli, G. Rousselier
    Pages 529-534
  19. Back Matter
    Pages 535-538

About this book

Introduction

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.

Keywords

Excel Stochastic processes geotechnical engineering modeling soil mechanics statistics stochastic process

Editors and affiliations

  • D. Breysse
    • 1
  1. 1.L.M.T. CachanUniversity of Marne-la-ValléeFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-1142-3
  • Copyright Information Springer Science+Business Media B.V. 1994
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4500-1
  • Online ISBN 978-94-011-1142-3
  • Series Print ISSN 0168-132X
  • Buy this book on publisher's site