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Design Decisions under Uncertainty with Limited Information - Structures and Infrastructures Book Series, Vol. 7 (Hardcover, New)
Loot Price: R6,618
Discovery Miles 66 180
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Design Decisions under Uncertainty with Limited Information - Structures and Infrastructures Book Series, Vol. 7 (Hardcover, New)
Series: Structures and Infrastructures
Expected to ship within 12 - 17 working days
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Reliability methods are becoming increasingly popular in
engineering design because they help build safer and more efficient
products than traditional deterministic methods. A principal
challenge in using these methods in practical design problems is to
model uncertainty when little data is available and the underlying
mechanism of uncertain events is unknown. There is a need for an
integrated presentation of tools for modeling uncertainty and
making design decisions under severe uncertainty, which bridges the
gap between theory and practice for methods for design under
uncertainty. This work presents and compare the most important
theories for modeling uncertainty and explains what tools are most
suitable for a given design problem. It illustrates how to solve
practical design problems in the aerospace and automotive
engineering industries with a balanced approach explaining both the
theoretical foundations of methods and their application to
engineering design. The numerous examples in each section will help
to appreciate the importance of design under uncertainty and the
theoretical developments of the methods. Readers will learn a
structured, risk-based approach for design under uncertainty when
limited information is available, which tools are available and
which to select and apply given a design decision problem. They
will further understand how to improve their overall performance
using a structured, risk-based approach for design under
uncertainty. Intended for mechanical and civil engineers working in
aerospace, automotive, civil, shipbuilding and power engineering,
and for graduate level courses and students in reliability analysis
and design and decision-making under uncertainty.
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