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Risk and Reliability in Geotechnical Engineering (Hardcover)
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Risk and Reliability in Geotechnical Engineering (Hardcover)
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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 parameters Provides easy-to-use Excel-based methods for
reliability analysis Connects reliability analysis to design codes
(including LRFD and Eurocode 7) Maximizes value of information
using Bayesian updating Contains 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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