rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Probabilistic Methods in Geotechnical Engineering
  name:
    name part: Griffiths, D. V.
    role:
      role term: editor.
  name:
    name part: Fenton, Gordon. A.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: au
    date issued: 2007
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: VIII, 346 p. online resource.
  abstract: 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.
  table of contents: Review of Probability Theory, Random Variables, and Random Fields -- Tools and Strategies for Dealing with Uncertainty in Geotechnics -- Basic Concepts and Applications of Point Estimate Methods in Geotechnical Engineering -- Basic Concepts and Applications of Random Sets in Geotechnical Engineering -- On Some Aspects of Reliability Computations in Bearing Capacity of Shallow Foundations -- Application of the response surface method -- Reliability of Laterally Loaded Rigid Piles -- Case history: Pile Foundations of a Large Gantry Crane -- Random Field Generation and the Local Average Subdivision Method -- The Random Finite Element Method (RFEM) in Steady Seepage Analysis -- The Random Finite Element Method (RFEM) in Settlement Analyses -- The Random Finite Element Method (RFEM) in Mine Pillar Stability Analysis -- The Random Finite Element Method (RFEM) in Bearing Capacity Analyses -- The Random Finite Element Method (RFEM) in Slope Stability Analysis.
  note: edited by D. V. Griffiths, Gordon. A. Fenton.
  subject:
    topic: Earth sciences
  subject:
    topic: Geotechnical engineering
  subject:
    topic: Probabilities
  subject:
    topic: Civil engineering
  subject:
    topic: Earth Sciences
  subject:
    topic: Geotechnical Engineering & Applied Earth Sciences
  subject:
    topic: Civil Engineering
  subject:
    topic: Probability Theory and Stochastic Processes
  classification: TA703-705.4
  classification: 624.151
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: CISM Courses and Lectures, 491
  identifier: 9783211733660
  identifier: http://dx.doi.org/10.1007/978-3-211-73366-0
  record info:
    record creation date: 100301
    record change date: 20151204180459.0
    record identifier: 978-3-211-73366-0