© 2007

Probabilistic Methods in Geotechnical Engineering

  • D. V. Griffiths
  • Gordon. A. Fenton

Part of the CISM Courses and Lectures book series (CISM, volume 491)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Gordon A. Fenton, D. V. Griffiths
    Pages 1-69
  3. Wojciech Pula, Jerzy Bauer
    Pages 147-168
  4. Wojciech Pula
    Pages 169-183
  5. Wojciech Pula, Jaroslaw Rybak
    Pages 185-199
  6. Gordon A. Fenton, D.V. Griffiths
    Pages 201-223
  7. D.V. Griffiths, Gordon A. Fentont
    Pages 225-241
  8. Gordon A. Fenton, D.V. Griffiths, W. Cavers
    Pages 243-270
  9. D.V. Griffiths, Gordon A. Fenton, Carisa B. Lemons
    Pages 271-294
  10. Gordon A. Fenton, D.V. Griffiths
    Pages 295-315
  11. D.V. Griffiths, Gordon A. Fenton
    Pages 317-346

About this book


Soils and rocks are among the most variable of all engineering materials, and as such are highly amenable to a probabilistic treatment. The application of statistical and probabilistic concepts to geotechnical analysis is a rapidly growing area of interest for both academics and practitioners. The book is therefore aimed at students, researchers, and practitioners of geotechnical engineering who wish to keep abreast of developments in this evolving field of study. The course content and will assume no more that an introductory understanding of probability and statistics on the part of the course participants.

The main objective is to present a state-of-the-art training on probabilistic techniques applied to geotechnical engineering in relation to both theory and practice.


(a) discussion of potential benefits of probabilistic approaches as opposed to the classical “Factor of Safety” methods, to review sources of uncertainty in geotechnical analysis and to introduce methods of LRFD and reliability concepts in Eurocode 7,

(b) review of relevant statistical theories needed to develop the methodologies and interpret the results of probabilistic analysis,

(c) examples of established probabilistic methods of analysis in geotechnical engineering, such as the First Order Second Moment (FOSM) method, the Point Estimate Method (PEM), the First and Second Order Reliability Methods (FORM SORM) and Random Set (RS) theory,

(d) description of numerical methods of probabilistic analysis based on the finite element method, such as the Stochastic Finite Element Method (SFEM) and recent developments on the Random Finite Element Method (RFEM),

(e) practical examples and case histories of probabilistic applications in geotechnical engineering.


Eurocode 7 Moment Probability theory Random variable civil engineering finite element method geotechnical engineering random set theory statistics stochastic processes uncertainty

Editors and affiliations

  • D. V. Griffiths
    • 1
  • Gordon. A. Fenton
    • 2
  1. 1.Colorado School of MinesGoldenUSA
  2. 2.Dalhousie UniversityHalifaxCanada

Bibliographic information

Industry Sectors
Materials & Steel
Oil, Gas & Geosciences