Ocean Waves The Stochastic Approach [Paperback]

Describes the stochastic method for ocean wave analysis - vital information for design and operation of ships.Predicting the characteristics of random ocean waves is vital for the design and safe operation o f ships and ocean structures. The stochastic approach to ocean wave analysis has proved extremely successful and recent advances in this method allow far better accuracy in the prediction of the behaviour of ocean waves. This book is a clear and detailed account of this developing topic. Examples of practical applications of the theories presented can be found throughout the text. The book will be suitable as a text for graduate students of naval, ocean and coastal engineering. It will also serve as a useful reference for research scientists and engineers working in this field.Predicting the characteristics of random ocean waves is vital for the design and safe operation o f ships and ocean structures. The stochastic approach to ocean wave analysis has proved extremely successful and recent advances in this method allow far better accuracy in the prediction of the behaviour of ocean waves. This book is a clear and detailed account of this developing topic. Examples of practical applications of the theories presented can be found throughout the text. The book will be suitable as a text for graduate students of naval, ocean and coastal engineering. It will also serve as a useful reference for research scientists and engineers working in this field.Waves observed in the ocean are extremely irregular and, from a physics standpoint, it seems impossible to describe this chaotic situation. Scientists can describe the situation by means of a stochastic approach. This book describes the stochastic method for ocean wave analysis. This method provides a route to predicting the characteristics of random ocean waves--information vital for the design and safe operation of ships and ocean structures. Assuming a basic knowledge of probability theory, the book begins with a chapl3À