Bayesian Methods for Structural Dynamics and Civil EngineeringISBN: 978-0-470-82454-2
Hardcover
320 pages
April 2010
This is a Print-on-Demand title. It will be printed specifically to fill your order. Please allow an additional 10-15 days delivery time. The book is not returnable.
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Bayesian methods are a powerful tool in many areas of science and
engineering, especially statistical physics, medical sciences,
electrical engineering, and information sciences. They are also
ideal for civil engineering applications, given the numerous types
of modeling and parametric uncertainty in civil engineering
problems. For example, earthquake ground motion cannot be
predetermined at the structural design stage. Complete wind
pressure profiles are difficult to measure under operating
conditions. Material properties can be difficult to determine to a
very precise level – especially concrete, rock, and soil. For
air quality prediction, it is difficult to measure the hourly/daily
pollutants generated by cars and factories within the area of
concern. It is also difficult to obtain the updated air quality
information of the surrounding cities. Furthermore, the
meteorological conditions of the day for prediction are also
uncertain. These are just some of the civil engineering examples to
which Bayesian probabilistic methods are applicable.
- Familiarizes readers with the latest developments in the field
- Includes identification problems for both dynamic and static systems
- Addresses challenging civil engineering problems such as modal/model updating
- Presents methods applicable to mechanical and aerospace engineering
- Gives engineers and engineering students a concrete sense of implementation
- Covers real-world case studies in civil engineering and beyond,
such as:
- structural health monitoring
- seismic attenuation
- finite-element model updating
- hydraulic jump
- artificial neural network for damage detection
- air quality prediction
- Includes other insightful daily-life examples
- Companion website with MATLAB code downloads for independent practice
- Written by a leading expert in the use of Bayesian methods for civil engineering problems
This book is ideal for researchers and graduate students in civil and mechanical engineering or applied probability and statistics. Practicing engineers interested in the application of statistical methods to solve engineering problems will also find this to be a valuable text.
MATLAB code and lecture materials for instructors available at http://www.wiley.com/go/yuen