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Risk and Reliability in Geotechnical Engineering

Forfatter: info mangler
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  • Format
  • Bog, paperback
  • Engelsk

Beskrivelse

Establishes Geotechnical Reliability as Fundamentally Distinct from Structural Reliability

Reliability-based design is relatively well established in structural design. Its use is less mature in geotechnical design, but there is a steady progression towards reliability-based design as seen in the inclusion of a new Annex D on "Reliability of Geotechnical Structures" in the third edition of ISO 2394. Reliability-based design can be viewed as a simplified form of risk-based design where different consequences of failure are implicitly covered by the adoption of different target reliability indices. Explicit risk management methodologies are required for large geotechnical systems where soil and loading conditions are too varied to be conveniently slotted into a few reliability classes (typically three) and an associated simple discrete tier of target reliability indices.



Provides Realistic Practical Guidance





Risk and Reliability in Geotechnical Engineering

makes these reliability and risk methodologies more accessible to practitioners and researchers by presenting soil statistics which are necessary inputs, by explaining how calculations can be carried out using simple tools, and by presenting illustrative or actual examples showcasing the benefits and limitations of these methodologies.With contributions from a broad international group of authors, this text:



Presents probabilistic models suited for soil parametersProvides easy-to-use Excel-based methods for reliability analysisConnects reliability analysis to design codes (including LRFD and Eurocode 7)Maximizes value of information using Bayesian updatingContains efficient reliability analysis methods

Accessible To a Wide Audience

Risk and Reliability in Geotechnical Engineering presents all the "need-to-know" information for a non-specialist to calculate and interpret the reliability index and risk of geotechnical structures in a realistic and robust way. It suits engineers, researchers, and students who are interested in the practical outcomes of reliability and risk analyses without going into the intricacies of the underlying mathematical theories.

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Detaljer
  • SprogEngelsk
  • Sidetal624
  • Udgivelsesdato26-07-2017
  • ISBN139781138892866
  • Forlag Crc Press
  • FormatPaperback
Størrelse og vægt
  • Vægt1088 g
  • coffee cup img
    10 cm
    book img
    17,8 cm
    25,4 cm

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    Monte-Carlo Hermite polynomials Bayes Theorem PEM Fragility Curves Bayesian analysis Reliability analysis Eurocode 7 Failure Probability Random field Copula theory Sensitivity analysis Application of subset simulation approach to spatially varying soils Bivariate normal vector CDF Plot Conditional Failure Probability Computing probability of failure Cumulative Distribution Function Direct MCS Evaluating reliability in geotechnical engineering Copula Parameters Expanded RBD FORM design of an anchored sheet pile wall Gaussian Copula Drilled shaft design Liquefaction probability based on generalized linear regression Loo Error Karhunen–Loève expansion methodology Failure Samples Multivariate non-normal random vector Multivariate normal vector Limit State Function Limit State Surface LRFD calibration of simple limit state functions LRFD calibration of simple limit state functions in geotechnical soil-structure design NRC Research Press Monte Carlo analysis using @Risk™ PC Expansion Non-normal random variable Pearson’s Rho Hasofer Lind method Numerical estimation of fragility curves Pile Capacity Probabilistic settlement analysis of a Hong Kong trial embankment on soft clay Reliability analysis of roof wedges and rockbolt forces in tunnels Reliability-based shallow foundation design RBD Probability of failure and risk James Bay Dike design scenario Reliability index Shear Strength Parameters Taylor Series Method The evolution of geotechnical risk analysis in North American practice SORM analysis Stochastic finite-element methods Undrained Shear Strength Verification of pile reliability using load tests and integrity tests System FORM reliability analysis of a soil slope with two equally likely failure modes Multicriteria RBD of a laterally loaded pile in spatially autocorrelated clay Plackett Copula Polynomial chaos expansions Probability of failure and factor of safety MCS Methodology Normal Random Variable Principle of maximum likelihood Probabilistic analyses of a slope failure in San Francisco Bay mud Reliability analysis of a Norwegian slope accounting for spatial autocorrelation Spatial Variability Subset Simulation
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