Bayesian Methods for Structural Dynamics and Civil Engineering
Bayesian methods are a powerful tool in many areas of science andengineering, especially statistical physics, medical sciences,electrical engineering, and information sciences. They are alsoideal for civil engineering applications, given the numerous typesof modeling and parametric uncertainty in civil engineeringproblems. For example, earthquake ground motion cannot bepredetermined at the structural design stage. Complete windpressure profiles are difficult to measure under operatingconditions. Material properties can be difficult to determine to avery precise level – especially concrete, rock, and soil. Forair quality prediction, it is difficult to measure the hourly/dailypollutants generated by cars and factories within the area ofconcern. It is also difficult to obtain the updated air qualityinformation of the surrounding cities. Furthermore, themeteorological conditions of the day for prediction are alsouncertain. These are just some of the civil engineering examples towhich Bayesian probabilistic methods are applicable.
This book is ideal for researchers and graduate students incivil and mechanical engineering or applied probability andstatistics. Practicing engineers interested in the application ofstatistical methods to solve engineering problems will also findthis to be a valuable text.
MATLAB code and lecture materials for instructors available atahref="http://www.wiley.com/go/yuen"http://www.wiley.com/go/yuen/a