Probabilistic Methods in Geotechnical Engineering

Author:   D. V. Griffiths ,  G. A. Fenton
Publisher:   Springer Verlag GmbH
Volume:   491
ISBN:  

9783211733653


Pages:   346
Publication Date:   13 August 2007
Format:   Paperback
Availability:   In Print   Availability explained
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Probabilistic Methods in Geotechnical Engineering


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Overview

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. Including: (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.

Full Product Details

Author:   D. V. Griffiths ,  G. A. Fenton
Publisher:   Springer Verlag GmbH
Imprint:   Springer Verlag GmbH
Volume:   491
Dimensions:   Width: 16.80cm , Height: 2.00cm , Length: 24.00cm
Weight:   0.610kg
ISBN:  

9783211733653


ISBN 10:   3211733655
Pages:   346
Publication Date:   13 August 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Review of Probability Theory, Random Variables, and Random Fields (Gordon A. Fenton, D. V. Griffiths).- Tools and Strategies for Dealing with Uncertainty in Geotechnics (F. Nadim).- Basic Concepts and Applications of Point Estimate Methods in Geotechnical Engineering (Helmut F. Schweiger, Robert Thurner).- Basic Concepts and Applications of Random Sets in Geotechnical Engineering (Helmut F. Schweiger, Gerd Peschl).- On Some Aspects of Reliability Computations in Bearing Capacity of Shallow Foundations (W. Pula).- Application of the Response Surface Method (W. Pula, Jerzy Bauer).- Reliability of Laterally Loaded Rigid Piles (W. Pula).- Case History: Pile Foundations of a Large Gantry Crane (W. Pula, Jaroslaw Rybak).- Random Field Generation and the Local Average Subdivision Method (Gordon A. Fenton, D. V. Griffiths).- The Random Finite Element Method (RFEM) in Steady Seepage Analysis (D. V. Griffiths, Gordon A. Fenton).- The Random Finite Element Method (RFEM) in Settlement Analysis (Gordon A. Fenton, D. V. Griffiths, W. Cavers).- The Random Finite Element Method (RFEM) in Mine Pillar Stability Analysis (D. V. Griffiths, Gordon A. Fenton, Carisa B. Lemons).- The Random Finite Element Method (RFEM) in Bearing Capacity Analysis (Gordon A. Fenton, C. V. Griffiths).- The Random Finite Element Method (RFEM) in Slope Stability Analysis (C. V. Griffiths, Gordon A. Fenton).

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