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CAIRO BOOKS's Description
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 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
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